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Episode #1 – Get to know Alexis Chevallot

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“Disclaimer: This is an AI Generated Summary, Detailed Overview, and Transcript”

The first ever “Agents of AI” podcast features an anonymous “Special Host” and Alexis Chevallot, CEO of Capto. Get to know Alexis as he shares his career path from PwC to co-founding Capto, including our company’s natural evolution from Robotic Process Automation (RPA) to AI Agents. Alexis emphasizes the importance of high-quality work, client service, and adapting to new skills like business development. The main talking points also include Capto’s independent research and client feedback, their approach to onboarding AI agents like new employees, and their differentiator of delivering highly tailored processes within four weeks.

The Details

 

Capto’s Agents of AI Podcast Introduction The “Agents of AI” podcast series began with its first episode, hosted by an anonymous individual who will reveal their identity in episode two, and co-hosted by Alexis Chevallot, CEO of Capto. The hosts aim to introduce Capto, discuss its evolution, and seek potential guests who identify as agents of AI to share their insights.

  • Alexis Chevallot’s Background and Career Path Alexis Chevallot shared that they grew up in France and pursued studies that led them into technology and coding, culminating in their first job at PwC in Luxembourg and then London, where they focused on automating tax departments for clients. The experience gained in automation and identifying areas for improvement in proprietary solutions ultimately led them to co-found Capto almost five years ago.
  • Key Skills and Traits for Success at Capto Alexis Chevallot highlighted that the commitment to high-quality work and client service, a standard from their time at a “big four” firm, has been crucial for Capto’s success. They also noted that learning business development and how to build a brand and reputation without a well-established corporate name was a significant new skill acquired while building Capto.
  • Evolution of Capto: From RPA to AI Agents Capto initially focused on Robotic Process Automation (RPA), but the company’s direction shifted significantly over five years due to advancements in AI technology and internal projects. Alexis Chevallot recounted a pivotal moment where, through independent research and client feedback, they realized Capto was already building what was being branded externally as “AI agents,” prompting a strategic pivot to this new focus.
  • Lessons Learned and Internal Business Acceleration Alexis Chevallot identified two main failures that led to significant improvements: initially trying to do everything themself, which highlighted the importance of building a highly talented team, and not seeking coaching sooner, which has since accelerated their learning and development. Internally, Capto leverages AI to streamline operations, saving considerable time in documentation processes—reducing a week’s work to a day or less—and accelerating development efforts for their small but growing team.
  • Client Conversations and Capto’s Vision for AI Agents Client conversations have evolved from basic automation discussions to a deeper focus on how Capto helps build “hybrid teams” of humans and AI agents. Alexis Chevallot emphasized that Capto’s approach involves onboarding AI agents like new employees, teaching them specific company processes, values, and reputation to ensure tailored and effective solutions, rather than generic “gadget” applications of AI.
  • Capto’s Differentiators in the AI Agent Space Capto differentiates itself in the rapidly expanding AI agent market by focusing on delivering highly tailored processes rather than generic solutions. While this bespoke approach requires more effort, it yields greater benefits and higher quality, with projects typically delivered within four weeks, a much faster turnaround than large corporations, even though it takes more time than onboarding an off-the-shelf AI agent.
  • Purpose and Vision for the “Agents of AI” Podcast The podcast was launched because Capto recognizes the value and experience they have to share, aiming to provide deeper insights and real-world use cases beyond what is available on other platforms. The Mystery Host added that the podcast is an opportunity to highlight impactful work being done by companies, even if they are not widely known, fostering “co-opetition” and sharing detailed insights that can be easily missed in shorter online formats.
  • Superhero Analogy and Future Guests As a recurring segment, the hosts introduced a question about favorite superheroes and who should be the next “Agent of AI” guest. Alexis Chevallot named Iron Man as their favorite superhero, citing the inspiration from their basement lab and making robots and AI agents. They nominated Antoine, a CFO known for their insightful vision around finance, as a potential future guest for the podcast.
 

Full Transcript

 

Mystery Host – To Be Announced in Episode #2: All right. Let’s do it, everyone. Welcome to episode number one of Capto’s Agents of AI podcast, speaker series, interesting guest, feature, soapbox for AI, whatever you want to call it. To be honest, we’re still figuring it out.

 

Alexis Chevallot: Yeah, definitely.

 

Mystery Host – To Be Announced in Episode #2: and we so much so that me as your host today, I’ve been anonymized and I’ll reveal my identity in episode number two. So for those of you that are already excited to follow along, I look forward to meeting you all officially in episode number two. So but we still have a special guest. And they aren’t from outside the walls of Capto.

 

Mystery Host – To Be Announced in Episode #2: It’s Alexis. Is it Alex?

 

Alexis Chevallot: Hello everyone. Yeah, I think today is a quite a good episode and we will be the co-host for the whole series. So that will be a that’s a good first way to start.

 

Mystery Host – To Be Announced in Episode #2: Yeah. Yeah. and we’re kicking things off with him because we kind of realized that, you know, not only if you’re a new viewer, like obviously you should get to know the CEO of Capto and one of the main hosts of

 

Alexis Chevallot: Sure.

 

Mystery Host – To Be Announced in Episode #2: Agents of AI, but also a lot has changed in Capto’s business and basically, you know, the evolution here. So, if you’re a familiar face or a new one entirely and believe that you’re an agent of AI, what I’ll also say is get in touch with Alexi or myself at a later date.

 

Mystery Host – To Be Announced in Episode #2: We’ll put our LinkedIn profiles and links to Capto’s website wherever this gets posted. We’d love to have you. So we’re looking for guests and we’re looking for things to talk about. So with that said, we’re going to focus on just like an introduction of Capto introduction starting at the very beginning. So introduce yourself, Alexi. We’ll talk about the AI stuff later. Where did you grow up? How did you get started with Capto?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: What do you like to do outside of Capto?

 

Alexis Chevallot: Oh, yeah.

 

Mystery Host – To Be Announced in Episode #2: Let’s let’s go let’s go there.

 

Alexis Chevallot: Let’s take a step back.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: Yeah. But thanks for the intro. Yeah, I think it’s perfect. Nothing to add on my side. So, I grew up in France. You’ll probably recognize it from the accent which is still very strong. Stayed in France for 18 years and wanted to travel the world. So did that for until now. So it’s been like 14 years. Then kind of during my studies on unis went more and more into text and more and more into like actually technical on code and really getting curious about that which led me to my first job. To give you like a bit of a history I was working at PWC in the Luxembborgish branch where basically we were automating at the beginning the tax department then after was sent to London to do a lot of that for clients and then as everyone have been marked by COVID happened and I had kind of in mind at that stage like already all this automation on how to do it better than all those proprietary solutions or like there was a lot of different things to improve.

 

Alexis Chevallot: I saw and that’s so basically we started Capto almost five years ago now. It’s been a while Yeah.

 

Mystery Host – To Be Announced in Episode #2: Nice. Nice. And what about your like early life or career has set you up for success most with Capto? What skill sets and traits have you kept continuously as you move from big four Price Waterhouse Coopers consulting organization to now Capto being a digital nomad running your own business?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: What are the things that like you look back on and say like all right these are the these are the traits that like make me successful at Capto and like are most important? Yeah.

 

Alexis Chevallot: Yeah. Yeah. And it’s a good question actually. I would say that like the first one that comes to mind is actually the the way we always try to make like super high quality work.

 

Alexis Chevallot: That’s something that when you are in a big four it’s like the standard and the client service around it like the quality of the relationship that you build with clients is another thing. Then after I would say that I when I left PC I saw that business development was a thing that I learned and that I knew from PC because I was building a team on dealing with clients. But it’s definitely a different game when you don’t have a brand that as famous as like the one from the big four. So I think that’s the first thing that I learned actually with Capto. How to build a brand, how to build a an identity, a reputation and I’m quite actually excited to have you joining and have you announcing yourself in the next episode for for that reason because I know like yeah that we will do a on that aspect like this is a new beginning.

 

Mystery Host – To Be Announced in Episode #2: Cool. Well, speaking of new beginnings, because you know, we’re introducing today, but you already said it.

 

Mystery Host – To Be Announced in Episode #2: Capto’s been around for five years, and it’s changed a lot.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: I know this because I know you all well and everybody will figure that out very shortly. But you’ve been around for a while. What has changed? Well, how about this? Like what was Capto up until recently?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: What changed? And then you know, how did it all like it, you know, evolve or like what what’s different today? And when did that happen versus you know when you started 5 years ago and you were doing just automation you know what would was at the time process automation.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: Yeah. No, no.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: Yeah, definitely. But first like actually we know each other so to give tips to people but we know each other since the the beginning. So we know each other since almost five years now and what like what we were doing at the beginning was like RPA automation. So robotic process automation. And it was purely like automation and two thing changed in between that time when we started and now the first one was the technology outside of Capto. A lot of things changed a lot of abilities. When we started just five years ago imagine like there was no chat there was not a lot of things like this so AI was definitely not like as powerful and as easy to on board so that’s the first thing the second thing is internally and that’s from Capto what happened bit by bits actually over the five years it wasn’t like a a one night everything changed it was more like we had year after year we had more and more project with the eye on We started to play around and to actually give you the the story.

 

Alexis Chevallot: What changed was purely in term of we what we realize what we are doing change over a weekend because we are already doing a lot of things around AI but over a weekend like you know on LinkedIn everyone was speaking about AI agents and stuff like that. I was like okay so that seems to do pretty much what we are doing but it’s this those people seems to be calling it differently. So I went on a on a weekend I went on a YouTube channel on like how to build an AI with Python an AI agent with Python and I went on it and I went I did a video and I was like what the hell it’s actually what we have been doing for like the past year and so it was a shock actually for me and then after I went on like all the other competitors like in AI agents and understood that basically we were doing that without realizing it with a layer of automation on process analysis that gives much more like confidence within the result that you get and so yeah we can go long time on the technical aspect but yeah that’s how it happened on how things changed on how people understood better what we were doing and how we started growing like crazy since 12 months and now since like six months sort of like my mind’s changed as where like the way we want to to change the industry on the way business is done in Europe wanted me to build an team of a player

 

Alexis Chevallot: and that’s what we are building now we have like a an amazing team now and like each people that comes are like crazy crazy high quality and so yeah very excited about what’s to what’s to come but yeah that’s how it happens

 

Mystery Host – To Be Announced in Episode #2: Yeah, that that’s a pretty cool story how like basically and I think it you know it’s probably too long for this episode but like I think even a a client you told me pointed out like hey you all

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: are building AI agents like why aren’t you branding it as such.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: It was like so simple that it just kind of clicked.

 

Alexis Chevallot: Yeah. It was Yeah.

 

Mystery Host – To Be Announced in Episode #2: Yeah. Yeah.

 

Alexis Chevallot: Basically I was like in a networking event and the client introduced us to someone and they they were like oh they are doing AI agent before like they were doing AI agents even before people were talking about it.

 

Alexis Chevallot: I was like okay maybe they don’t have an understanding perfectly of what we are doing because me I was still on my old like RPA branding and stuff like that technical stuff and then after when I discovered I was like oh god like these clients knew better what we were doing than us. So yeah that’s sometime it’s interesting how you find out things.

 

Mystery Host – To Be Announced in Episode #2: Yeah. And you know, we’re always like positive and enthusiastic people like that. But like I think like a part of that change like you know be inspiring to other pe other leaders that are in your seat that have run businesses for five years. What do you look back on like now that you’ve made this evolution and business has picked up in the last 12 months, especially the past six months? You’re riding like a very hot wave of people demanding AI agents and demand for what you’re doing.

 

Mystery Host – To Be Announced in Episode #2: What were as you look back like what are some of the failures that stuck out to you and one how did you get over them and then two like how did it kind of like change what you are offering today? Yeah.

 

Alexis Chevallot: Yeah. I think the first one that comes to mind is the team. At the beginning I was trying to do everything myself to learn everything and you never do as good as like with people that actually have done that like I expert in that and so that’s the first one that comes to mind because that’s definitely the thing that changed over the past year with getting like really super talented people. It’s exciting to work with them and people are excited to work with each other. So that’s like one of them. The second one I am French and actually the the mindset around coach and coaching in France is a bit different.

 

Alexis Chevallot: It’s actually quite traditional. And so the second mistake I think would have been to I should have I I’ve like I’ve got help from a coach like back like since a while now and this also transformed or kind of sped up

 

Mystery Host – To Be Announced in Episode #2: Cool.

 

Alexis Chevallot: my the way I’m learning and so I think that’s the second thing if I had to to if I had to give two the difference there.

 

Mystery Host – To Be Announced in Episode #2: So, shout out to that coach and shout out to leaders who are vulnerable enough to ask for help, right? I think that that’s like one of the main lessons that you learned like over the course of the past few years is like hey it’s okay to not do everything yourself. I think like for owners of businesses sometimes it’s difficult to like you know separate yourself from that burden but cool cool

 

Alexis Chevallot: Yeah. Yeah. And it can be simpler than people think.

 

Alexis Chevallot: Like it doesn’t have to be crazy or you can just like have guidance and things like that and do it yourself after, but at least to ask for it.

 

Mystery Host – To Be Announced in Episode #2: and okay so AI is a buzzword it’s become a cliche now you’ve talked about how it’s helpful for your business and how you’re delivering it for customers, but you know, you’re still a small team.

 

Alexis Chevallot: Yeah, I am. Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: Like the team’s growing, but you’re still a small team. Like talk about like for again like let’s talk about for the small business owner or like the the you know the person that looks like you across the globe, how are you using AI internally to like accelerate the company’s business as well too?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: So that’s yeah that’s that has been also internally like way transform the way we do things in many ways.

 

Alexis Chevallot: I think the first one where we started to do to to save a lot of time was the documentation when you do like code when you do open source solutions which tend to be the highest quality of solutions but they kind of like their flow is that you need a lot to actually understand what’s going on and to do that you actually need to get the help to make it understandable by anyone and so that takes a lot of work and what we have done is like the first use of AI for us was this and it took us previously kind of one week to get some documentation done and now it takes something like a day or sometime even less. So it’s a huge difference. The second one is development like the developers are massively hit by the by AI for for developing.

 

Mystery Host – To Be Announced in Episode #2: Cool.

 

Alexis Chevallot: It’s not solving everything and doing everything but it does enable to actually get things like much faster.

 

Mystery Host – To Be Announced in Episode #2: Cool.

 

Mystery Host – To Be Announced in Episode #2: All right. And we’re going to circle back on like the client conversations and all the success that you’ve been having like in the past year. You know, what are those people coming to you with today that’s different than what they were coming with you when you were working with them three or four years ago? Are they just like, you know, are they seeing the hype that AI is and they’re confused about what that actually means? Like, how are you how have the conversations changed with clients in terms of like what you’re delivering for them? Is it still just always focused on the outcomes or is it now like okay people want to be aligned with what the future of you know a finance department looks like or a logistics department looks like? What’s what are are those have those conversations changed over the past four years or are they relatively the same?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: No they have been quite different like when we started it was much much more limited for two reasons the size of Capto the ability to our ability or technical like knowledge on how to deliver on what to deliver

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: when actually along the way we built a whole vision on our side. So now like what what we talk about with CFOs is like how we build for them like this what I call an hybrid team al human alpha agents which will happen anyway in the five to 10 years time on how we help the best way towards this what I mean by the best way it’s not like what I always often see and I don’t like this buzz word AI because it’s a lot of gadget around and So it doesn’t really help and it kind of lose the reputation that it’s actually what it can provide and what it will provide. And so what we do is kind of like this expertise with a process on we onboard AI agents the way you onboard an employee which is like you teach them the processes that there is within the company, the company’s reputation, the company’s values and then you on board them like you do with an employee and then after in the team you have this hybrid approach with like II agents and like humans and that’s what actually

 

Alexis Chevallot: makes like the whole change on makes things better.

 

Mystery Host – To Be Announced in Episode #2: Great. Great. Okay. So, let’s talk about a little bit of what differentiates Capto as a company and what you deliver for your clients. like just talk about what separates you in what’s really rapidly become like we keep saying the word buzzword but it’s AI agent is like a it’s become so rapidly overnight a noisy space. I think we could like admit that and just be like you know self-aware that we’re not the only company that’s building AI agents.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: So talk about what differentiates a Capto AI agent versus the the other companies that you see at the top of your LinkedIn feed or Twitter feed every single day.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: I think there is like a a flow on equality.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: I will start by the I don’t know if I should but I will start by the flow of of Capto. Is that we are pretty honest with like the work it’s require it requires work to do the AI agent that we are doing but the quality behind it is that all agent are doing like not generic processes but actually tailored process that you have within your company might it be the closing the accounts and so you need to know all the accounting and how the way it is done the way your company is like naming things and doing things so all the process that you have in finance that are very specific sometimes companies to companies industries to industries so I think that’s like the differentiator is is one but there is like the two sides it takes it takes more work but it takes like also like it gives much more benefits

 

Mystery Host – To Be Announced in Episode #2: Nice.

 

Mystery Host – To Be Announced in Episode #2: Nice. It’s probably I don’t know. I’m going to use an analogy here and don’t let me don’t let it if it’s wrong, you tell me. It sounds like you can go and buy a suit at like a department store and pull it off the rack and do your real best to like tailor that and make it fit you better by taking it someplace that somebody’s going to do the best they can with what it is. And then you also have the option to go to like Seville Row in London and get like a what they call the bespoke suit that literally like to the millimeter is size to you and it’s all the perfection

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: that you want and it’s everything that you know it’s this higher quality and this higher standard of customization.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Is it is it okay to d describe Capto as like the civil row tailor of of suit making? And that’s not like at all taking away from the department stores either because sometimes department store suits look really really nice as well too.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: What do you Yeah.

 

Alexis Chevallot: Yeah. No, I think I think it’s kind of like I would say it’s kind of in between there like we are not like a huge corporate that do those things. So, often I see like this like or people see this higher end in like big corporation. But what definitely so so what I’m very proud of sometimes is that we deliver our projects on our agent within like four weeks on average and that’s super fast however when you compare it to AI agent that you can see on platform that are basically on boarded within like minutes and so yeah it’s it is definitely like super tailored it does like much more and it’s also quity but indeed it takes a

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: bit more time on a bit more work. So yeah, all the preparation, the cuts on making things to the millimeter.

 

Mystery Host – To Be Announced in Episode #2: Cool. All right. So, we’re coming towards the end of what we like prepared to talk about today. I think like the other thing that stands out is this is the first episode.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: For those of you that are still listening, thanks for sticking with us because we still have a lot to figure out of what we want to do with the format and the production.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: You know, at a very minimum, your mystery host here will not be a robot the next time that we do this call.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: But why are you doing a podcast now?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Like what?

 

Alexis Chevallot: Um yeah.

 

Mystery Host – To Be Announced in Episode #2: Like there’s so much content out there. Like what’s why are you doing it? And how is it going to be different? Yeah.

 

Alexis Chevallot: Yeah. Um I think this question we can both answer to it because I definitely would like to since it’s the first episode I would definitely like to have your your input on that.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: Um but on my side I would say that like first we get we got so much more experience. We recognize that we have something that’s valuable to say in the things we do. We actually recognize finally like the value that we bring and I think that’s something that we have been doing for a while but that we didn’t realize. And the second thing is that like we want to happen and share from people that knows.

 

Alexis Chevallot: So not only us but actually the people that are in in the industry CFOs and like people that are like that are hands-on on share and so I think this will be pretty fun on a different way to present it the format will be different but the value will also be much much more much deeper on for people that are following me on LinkedIn I always try to like share real use cases and that’s the point of the podcast as well is like since we are getting more and more knowledge to actually be able to share this on with real cases here. But as you said just before before I get you like answering this this question, yeah, big thank you to the one that are watching until now the the format like it’s the first episode. So that’s pretty cool. But one of the thing I’m super grateful for is like the support Capto is getting for people around us in our community. And the last reason that I would add on top of that is that we do want to build a community to help people to help clients but to also help people from the help that we are providing to our clients outside of Capto.

 

Alexis Chevallot: And I think that’s a a way that we want to share more and more not only on on podcast but also on any other format that we might can do.

 

Mystery Host – To Be Announced in Episode #2: Yeah. Yeah. Yeah. But my two cents here since you asked Alexa, like I think that one of the things that’s most appealing about me joining and working with Capto more intensely after we’ve known each other for so many years is that

 

Alexis Chevallot: Thanks.

 

Mystery Host – To Be Announced in Episode #2: consistently you’ve had a lot of grit and perseverance in building your business and also just really genuine approach in terms of building and I think that we can bring that to the AI eye space as well and maybe

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: even like take a step back and take a step away from all the influencers that are just attaching themselves to it because it’s the next hypy thing.

 

Mystery Host – To Be Announced in Episode #2: I think that especially a lot of what Capto is delivering to its clients at companies that admittedly probably the rest of the world might not have heard of is not like you know on their refrigerator. They’re not well-known names, but they’re doing impactful things for the people that work for them and with them.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: And I view, you know, this agents of AI platform as a place to elevate those people that are doing real work at places that, you know, I I I just think of use cases that are that are micro

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: in size but big in that could be potentially big in impact. And for those of you that will meet me officially and know me, like one of my main words is co-opetition. I think that there’s an opportunity for us to highlight what somebody is doing in a certain region or a certain space that could trigger, you know, more use cases and more use of AI around the world.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: And I think that that could be like a really really like just inspiring goal for us to do this this thing. I think also it’s a great opportunity to get detailed insights from people.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: You and I post so much on LinkedIn. We post on other platforms. Those insights are getting so bite-sized and so l so easily missed that this is another way for us to deliver, you know, meaningful insight to people.

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: So, we have one final question that is hopefully going to be a tradition and hopefully going to be something fun that we could do with other agents of AI.

 

Alexis Chevallot: Oh, well.

 

Mystery Host – To Be Announced in Episode #2: And again, this is your reminder to reach out to us because we’re, you know, currently recording other episodes with other people and we want to get the the backlog going.

 

Mystery Host – To Be Announced in Episode #2: So, please come come our way. The title of the show is an intentional play on like secret agents or superheroes.

 

Alexis Chevallot: Happy.

 

Mystery Host – To Be Announced in Episode #2: So, I guess the the way that we could potentially do this going forward is one, what’s your favorite superhero or what’s your favorite, you know, and how does that relate to AI or who do you view as a superhero in the AI space? So, who’s your referral? Who should be the next agent of AI on this? We I just put you on the spot and I can tell that you’re thinking, but go ahead. Take a shot. Take a shot at it. Yeah.

 

Alexis Chevallot: Oh. So basically like to tell you who should be who would be great as a next invite.

 

Mystery Host – To Be Announced in Episode #2: Yeah. Yeah.

 

Alexis Chevallot: I would say like CFO I know well Antoan yeah is like would be a great great invite.

 

Mystery Host – To Be Announced in Episode #2: Mhm.

 

Alexis Chevallot: Antonella he has like a vision around finance that’s super insightful super interesting I I didn’t realize it at first but while like learning about him and seeing oh see finance and makes it move forward I I was very like I learned a lot from him actually so yeah I would say that that would be a great a great next invite which actually I don’t know if he would be keen for it, but

 

Mystery Host – To Be Announced in Episode #2: Cool. That’s a really good one.

 

Alexis Chevallot: I like it.

 

Mystery Host – To Be Announced in Episode #2: Well, hope hopefully we’ll have to reach out to him and see if he’s okay if it for us calling him out in this first episode.

 

Alexis Chevallot: It would Yeah.

 

Mystery Host – To Be Announced in Episode #2: But in any case, and you know, do you want to take a stab while we have each other?

 

Alexis Chevallot: Yeah.

 

Mystery Host – To Be Announced in Episode #2: Who Who’s your favorite superhero you think like would be a Yeah.

 

Alexis Chevallot: Yeah. Oh, I I would say it’s like not original at all, but Iron Man was definitely mine.

 

Mystery Host – To Be Announced in Episode #2: Yeah. Yeah.

 

Alexis Chevallot: I dream of having one days at basement working. I have I do have the impression in this episode to be with Jarvis.

 

Mystery Host – To Be Announced in Episode #2: Yeah.

 

Alexis Chevallot: Um, but like yeah, like the basement with like all the text making things happen when I’m getting in my zone with the music on getting like I do less codes lately, but like when I was doing a lot of code at the time, I was putting music getting in the zone on like getting things done and making like robots and like AI agents happen.

 

Alexis Chevallot: Um, that was like yeah, that was one of of the inspirations. I definitely would say tell him

 

Mystery Host – To Be Announced in Episode #2: Cool. All right. Well, I’m envisioning a an AI generated image of Alexis like merging personas with Iron Man. We’ll have to get your face on an Iron Man suit, I think. So, All right.

 

Alexis Chevallot: Yeah. Yeah.

 

Mystery Host – To Be Announced in Episode #2: Well, bye everyone. Thanks for sticking with us for the first episode. The next one will get better and the next one after that will get better and better. So, reach out to us.

 

Alexis Chevallot: Yeah, comments, comment your feedbacks.

 

Mystery Host – To Be Announced in Episode #2: Let us know what you think.

 

Alexis Chevallot: Like this we we keep on improving on the way on teaching you the things that you want to learn. So yeah, do it.

 

Mystery Host – To Be Announced in Episode #2: Awesome. All right.

 

Alexis Chevallot: Okay, cheers. Done.

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Episode #1 – Get to know Alexis Chevallot Read More »

6 Robotic process automation examples for scaling businesses

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Scaling up your business requires selecting the right settings for your company’s digital workflows. Scaling depends on adapting quickly and synchronizing within a dynamic environment. However, if not planned well for the long term, you may, at some point, get overwhelmed, or lost, failing to achieve your business goals. By scaling, you want to stimulate sustainable growth as much as possible. Do you wish to scale your business easier? If the answer is yes, then this article is exactly for you.

Why use RPA for scaling your business?

The accelerating development of Robotic Process Automation has a huge potential to enable businesses to scale organically and sustainably. Each startup aims to reach the point where revenue is increasing without substantial growth in resources. As such, scaling comes as a result of the right planning and improved process workflows. However, the truth is that expansion contains risks.

 

Acquiring a bigger market share is essential, but it could also become a threat if it happens too fast at a given point. That is why organizations have to be prepared to avoid overloads and use technology to leverage risk. RPA is becoming widespread amongst scaling businesses because of the numerous opportunities for shifting rule-based mundane tasks from humans to digital workers. This opens up a growing room for team members to perform more creative activities, contributing to the company’s growth strategy.

In a previous article, we explained what the benefits of RPA are. However, in a nutshell, Robotic Process Automation is well-known for improving overall business efficiency across industries. It brings higher quality and consistency, saving time and money. It is also recognized as a powerful asset for increasing productivity among team members. This translates directly into scalable growth and higher profits for your company.

According to analyses performed by Deloitte, “only a tiny minority (3 percent) of progressive leaders have reached any form of scale with more than 50 robots in service. Organizations must make the right strategic choices—laying the right foundation to enable a “premium” digital workforce to support their drive for competitive advantage.” It is further suggested that “given the relative immaturity of the automation market, it is taking time for large organizations, in particular, to learn about and adopt RPA at scale.” This demonstrates the advantage startups have to make RPA a crucial part of their scale-up strategy as this would enable them to compete for market share with far larger but digitally immature organizations.

Top 6 RPA examples for scaling businesses:

We divided our list of RPA examples into six major sections based on the key business functions where software robots can help the most with the growth of your business. We hope this list will give you a useful overview of the practical applications of RPA to help you scale your business. Now let’s dive in.

You don’t have time to read the whole article right now? Download a free one-page infographic that summarizes the key details you need to know about RPA and its benefits and applications for scaling businesses. Download it here.

1. Customer Support & Client Onboarding

Common, yet, outstanding examples of RPA are the auto-responding to queries and auto-sending of notifications which are both essential for an effective customer support function. Nowadays, users require quick answers to their questions or instant help with problems that they face. A great part of these requests can be handled by RPA digital agents in a routine, standardized manner. This saves valuable resources for companies and improves customer satisfaction. For instance, Facebook has already automated most of its customer support. As a result, the human workload has substantially decreased, while customer satisfaction has gone up.

 

New client onboarding and new account openings are also processes easily handled by a robot. In addition, more and more often, a lot of scaling businesses delegate to software robots call center operations, including help desk services. In fact, RPA can take care of most of the common queries and repetitive issues. Robots effortlessly help agents by displaying a dashboard with suggested solutions and summarizing relevant information.

2. Accounting & Admin

Most administrative tasks like generating, preparing, and processing documents must be automated in each growing business today. For example, handling invoices is a fundamental task in accounting. It is also one of the most time-consuming processes that companies of all sizes have to tackle. The good news is that today digital workers can execute the entire process instead of humans, with zero interruptions and mistakes. 


Creating and delivering invoices, like most rule-based activities, can be automated by linking accounting and ERP systems. By extracting data from submitted receipts robots can even handle the expense management process and generate expense reports. Essentially, all the data entry and manual work involved can be done by robots to make processes automated, paperless, and efficient.

3. Finance Operations

If deployed strategically within the finance function, robots are able to perform not only simple individual tasks but even finance sub-functions such as procurement and tax compliance. Surveys show that one robot can be up to 30 times more productive than a full-time working human. The truth is that the evolution of RPA in finance has reached the stage of full automation. This means that the opportunities for a scalable finance function range from simple everyday processes, such as bank reconciliations, to complex operations such as financial analysis and forecasting.

Common RPA use cases within finance:

  • Transaction processing - approval, due diligence, and onboarding processes;
  • Payroll operations - including changes in records, attendance management, time entry validations, resignation, and deductions;
  • Bank statement reconciliation - extracting data from bank statements and comparing it to the company’s records;
  • Issuing refunds - prompt refunds to customers requesting refunds;

Some enterprises are going a step further by automating requests for approval and as a result, are reducing their processing time by 75%. Banks, for example, automate their commercial lending processes by completing standardized data forms, which help them to accelerate new account opening and new client onboarding.

4. Human Resource Operations

RPA has significant use cases for scaling the human resource function. Among the operations that a digital workforce can perform instead of humans are:
  • Candidate sourcing - pulling data from job search platforms, auto-reviewing applications, aggregating resumes, auto-scheduling meetings, taking notes from interviews;
  • Hiring - comparing candidate data, assessing results, preparing paperwork such as HR contracts and agreements;
  • Onboarding employees - ensuring compliance with Policy & Procedures by auto-sending relevant information like Welcome Materials, Company Guidelines, or Training Resources;

5. Sales Operations

One of the most fundamental challenges during the scaling phase is how to speed up the sales cycle with efficiency and precision. Speed is important but so is the accuracy of the pricing proposals, the sales contracts, the timely notifications, and follow-ups. These are all areas that require significant attention to detail in order to perform these routine administrative operations diligently and correctly. Software robots come in to support the sales process by handling numerous administrative tasks.

 

Common processes that should be automated within scaling businesses include:

  • Preparation and delivery of accurate sale quotes;
  • Checks of supplier portals to confirm availability and price;
  • Preparation and updates of pricing models based on a pre-configured logic;
  • Extraction of data from supplier portals and inserting it into pricing models;
  • Preparation of sales contracts;
  • Update of CRM systems;
  • Interaction with ERP systems;

6. Compliance & Data-Related Operations

Statistics show that implementing RPA improves compliance accuracy by 93%. In the dynamic business environment, compliance is vital for each scaling business. For example, a change in tax or regulatory conditions would require numerous validations of records.

 

Here’s a list of data-related RPA use cases ensuring better compliance for scaling businesses:

  • Check for completeness;
  • Data entry from files to ERP;
  • Read and process paper forms, and transfer them into digital forms;
  • Annual tax return preparation;
  • Filling in and submitting of compliance forms & returns;
  • Check validity of VAT numbers via API;
  • Copy and move data between systems;
  • Generation of reports;
  • Know-Your-Customer (KYC) and Anti-Money Laundering (AML) checks;

Download a free one-page infographic that summarizes the key details you need to know about RPA and its benefits and applications for scaling businesses. Download it here.

Conclusion

Technological advances have made intelligent automation possible across a wide spectrum of manual processes. Scaling companies should strategize on how to optimize operations to meet business and investor goals and stay on track. By implementing RPA, you can build scalable processes and optimize business resources to make sure budgets last longer and human capacity is invested in value-adding business functions.

However, when it comes to adopting RPA for scaling, insecurities still prevail in most companies. That is why RPA continues to be overlooked despite its fundamental benefits. So, it is crucially important that decision-makers continuously dedicate time to identifying processes within their business that could and should be automated to achieve a scalable future.

At Capto, we believe automation should be implemented gradually and strategically. Our team has automated many processes already and we’d happily suggest RPA solutions that are flexible and tailored to your company’s scale-up needs. If you are looking to scale your business, meet investor goals, and make your resources last longer, then have a chat with us. We are here to help you leverage automation to drastically save time & resources and grow with scalable processes.

Let's chat about automation for 15 min

We'd love to help you with your questions so you can make the best decision for your business.

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Sources & references:

 

1. Deloitte. https://www2.deloitte.com/us/en/pages/operations/articles/global-robotic-process-automation-report.html

2. Forbes. https://www.forbes.com/sites/marksettle/2020/10/20/the-proper-path-to-achieving–automation-at-scale/?sh=538509922a4a
3. Bernard Marr. https://bernardmarr.com/10-amazing-examples-of-robotic-process-automation-in-practice/
4. Gartner. https://www.gartner.com/en/finance/insights/robotics-in-finance
5. AI Multiple. https://research.aimultiple.com/robotic-process-automation-use-cases/

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What are the benefits of robotic process automation?

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In the digital world of today being adaptable is a vital requirement for each company. The technological advance creates a dynamic environment for both users and software service providers. As such, you constantly have to follow up with the innovations and expand your knowledge to keep on track. Nowadays, it is crucial to understand that one of the major prerequisites for business success is automation. This article will explain in a friendly language the robotic process automation benefits and how your business can take advantage of this modern technology. But first, let’s clarify two fundamental terms:

What is a software robot?

A robot is a machine capable of sensing and interacting with its environment. It’s an automatically operated machine that replaces human effort. However, in this article, we will not talk about physical robots, but we will use the word “robot” to refer to software robots, or “bots”. Software robots are nothing more than pieces of code. They are simple or complex computer programs designed to perform specific actions, such as automating repetitive tasks or simulating human users, among others. Software robotics is gaining popularity in business today, increasing the use of bot programs to automate computer tasks normally performed by people.

What is robotic process automation (RPA)?

Robotic process automation (RPA) is a form of business process automation based on software robots (digital workers). RPA re-creates the way humans interact with software to perform high-volume, repeatable tasks. Its ability to copy the way humans perform computer-based processes has contributed to its popularity compared with automation tools such as application programming interfaces (APIs).

 

RPA uses software agents (bots) to carry out routine clerical tasks without human assistance. It is useful for automating business processes that are rules-based and repetitive. RPA bots can follow a workflow that encompasses multiple steps across multiple applications. However, unlike traditional automation projects that require extensive developer help, RPA projects simply use an organization’s existing applications which makes it far more accessible, even by small and midsize enterprises. 

 

Additionally, when combined with AI and machine learning, RPA can capture more context from the content it is processing, extract entities like names, invoice details, or addresses, and identify data from images, such as automatically estimating accident damage in an insurance claim picture. This can greatly reduce costs and increase efficiency by speeding things up and significantly minimizing errors. In other words, this means delegating repeating processes within your workflows to RPA bots.

For example, an RPA bot can be used to:

  • Complete & Receive forms;
  • Check for completeness;
  • Use external information or proprietary databases to look up missing information;
  • Enter missing data;
  • Copy data between applications or workflows as required;
  • Forward completed, validated forms to its next destination;
  • Calculate and complete numerous tasks;
Now let’s take a look at the advantages of using RPA in business and its usage in different industries.

What is RPA used for?

Robotic process automation helps businesses overcome data challenges and inefficiencies by using the power of modern computer programs, thus, focusing on constant and sustainable growth. It is designed to help primarily with office-type functions that often require the ability to do several types of tasks in a specific order. Using RPA tools, a company can configure a robot to capture and interpret applications in order to process a transaction, manipulate data, trigger responses, and communicate with other digital systems.

 

As such, RPA provides organizations with the ability to adapt and respond quickly. What’s more, is that RPA software bots can also use machine learning algorithms and artificial intelligence to free up human employees and allow them to concentrate on more complicated tasks rather than routine work.

 

For example, a large commercial bank may use 100 software bots to run 15 processes that handle over 1.5 million requests in one year. Recently, the implementation of RPA in business enterprises has shown dramatic cost savings when compared to traditional non-RPA solutions.

RPA is used in most industries, particularly those that include repetitive tasks such as manufacturing, legal, insurance, banking, finance, accounting, healthcare, human resources, and telecommunications. Indeed, RPA is widely used for procure-to-pay, mortgage and lending processes, customer service and CRM, eCommerce merchandising operations, and data extraction processes, among others. 


Before moving on to the core topic, let’s take a glimpse at the infographic below, showing some examples of RPA applications within different industries.

robotic process automation benefits

What are the robotic process automation benefits

1. Boosted efficiency

One of the key factors for the successful development and scaling of a business is the coefficient of efficiency. Every day you are in a situation in which you compete with yourself and your competitors to be more efficient. Scaling could indeed be a great threat to a growing business unless there are sufficient process efficiencies in place. It goes without saying that if your processes are much more efficient than your competitors’, this gives you a significant competitive advantage. This is where the implementation of RPA  can be of significant importance as it fundamentally streamlines processes and speeds up the execution of manual tasks to substantially improve business efficiency.

2. Increased innovation

Repeated manual work is a genuine obstacle to innovation. It is, without a doubt, the routine that any person inside your organization would find uninspiring and quite dull. Repeated manual work is not only boring by nature. It is often a waste of energy and time for us humans who thrive on creativity, critical thinking, and innovation. Once eliminated, this valuable time and energy could be invested into solving problems, and developing new concepts and innovations. By optimizing processes,people can focus on the creative activities at work which has a significant direct impact on the degree of business innovation. RPA plays a major part in facilitating this positive change.

3. Increased responsiveness

The success of a company always depends on its ability to get the job done on time. Robotic process automation has completely revolutionized the way businesses work. The truth is that nowadays we are blessed to have technology so advanced that companies are able to implement RPA to automate low-value mundane tasks while freeing their employees to focus on value-added activities for their business. This allows businesses to respond quickly to market fluctuations, deliver customer service and support with speed and accuracy, and increase the overall responsiveness of the business.

4. Flawless execution

By letting robots do the “mindless” work you guarantee flawless execution of all repetitive tasks and manual processes. This improves the performance of your company and reduces the chances of errors, or delays. Not only that, but it can also have a direct positive impact on your business agility, and profitability. 

5. Improved customer experience

The most important factor for increasing customer retention is to make sure they feel satisfied with their experience with your business. This can be achieved by better and more personal communication at each phase of the customer journey. RPA helps at all stages of the customer journey and improves the overall experience by letting you serve your clients more quickly, flexibly, and responsively. The final results are faster delivery, improved quality of service, and more efficient support.

6. Happier & more productive team

Last but not least, RPA helps to keep your employees happy and much more productive at work. According to surveys, more than 70% of employees state that they use one extra day a week saved through automation to execute activities that add true value to their organizations. What’s more, is that almost 80% of them say they focus on the more creative aspects of their work which increases overall motivation and staff happiness. This is a clear positive sign that RPA reduces the pressure and prevents staff from burning out.

RPA provides even more significant benefits to your business. Here are some more examples of all you can achieve thanks to RPA:

  • Invest more resources in core business operations;
  • Stimulate employees to learn and take up more strategic functions;
  • Generate major cost savings by automating mundane day-to-day functions;
  • Enhance resilience to match workload peaks and respond to huge demand spikes:
  • Reach accuracy goals with reliable consistency;
  • Improve business data security;
    • Seize opportunities for scale;
RPA is all about automating repetitive and monotonous tasks so that you and your employees can divert your complete attention towards the more fundamental ones.
Robotic process automation empowers humans to play at their core strengths by giving them the time to focus on the most valuable business activities and projects. This makes organizations more profitable, flexible, and adaptable. Not only that, but RPA is also reported to increase employee satisfaction, engagement, and productivity by removing mundane tasks from the day-to-day agendas. It truly is an investment that delivers rapid and multi-dimensional ROI.

Conclusion:

The benefits of RPA make it clear that this technology has an essential role in business. As discussed above, the implementation of RPA improves the efficiency, reliability, and speed of your business thanks to the automation of tasks and processes previously performed by humans. It’s already transforming businesses around the world, giving them the competitive advantage they need to get ahead in their sector. And now it’s your time.

How can you take advantage of RPA?

The good news is there is no need to reinvent the wheel. We are here to help. Our team is dedicated to providing holistic RPA business solutions to companies. Each day we work with clients from all over the world to scale and implement RPA. They’ve already become convinced of the power of automation and included it in their strategies for long-term success. You can also take advantage of our expertise and start your RPA journey by booking a free consultation slot with one of our experts. Brainstorm with us to figure out which processes, functions, and departments within your business structure can and should be automated. We’d love to help you benefit from robotic processes automation in the era of digital transformation.
Sources & references:

1. Investopedia. https://www.investopedia.com/terms/r/robotic-process-automation-rpa.asp/

2. TechTarget. https://www.techtarget.com/searchcio/definition/RPA/

3. Wikipedia. https://en.wikipedia.org/wiki/Robotic_process_automation/

4. GeeksforGeeks. https://www.geeksforgeeks.org/artificial-intelligence-in-robotics/

5. Techopedia. https://www.techopedia.com/definition/32099/automation/

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support ukraine

Capto volunteers automation robots to support Ukraine aid initiatives

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Help us help where automation can speed access to aid

Our reactiveness and our ability as a worldwide society to respond and offer help as quickly as possible to the people of Ukraine have never been more important in modern history.

 

Like most of Europe, our hearts sunk the moment we heard about the unprovoked and needless invasion into Ukraine. We got shocked, startled, horrified. But as a society, we also got united and are getting stronger and stronger together.

 

We truly believe that each and every single one of us, both personally and professionally, has a crucial role to play in helping Ukrainians through this sudden nightmare, not only those still at home but also those who’ve now left to call a neighboring country their new home. We believe that when many small and large efforts come together, they truly have the power to impact lives, build roofs above heads, put food back on empty tables, and place a smile on saddened faces. And that is truly incredible!

 

As a team, we thought quite a lot about how we can help the humanitarian crisis in Ukraine and the initiatives and organisations that are currently being created. As such, we decided that for an undefined period of time, we will volunteer our automation robots in support of non-profit projects that have as their purpose to help Ukraine and its people during this horrifying time. Our goal as a team is to speed up processes that are currently done manually which can be automated to increase the speed of response, availability of information, and access to help.

 

We feel grateful to have connected with two organisations already but in times of urgency, the world needs an equally urgent reaction, so we want to extend our support to more organisations and initiatives across Europe so that help can be offered and accepted by as many people as possible and as quickly as possible too.
 

So how exactly can we help? 

 

To help as quickly as possible, we are including below a few examples of the activities our robots can do already. This means that with very limited further development if any, we can get a robot to fuel speed in a matter of hours or just a few days:

 

  • Automate form completion using data from Excel (or another data source) 
  • Database check & sending of outcome emails
  • Enrich and transfer data between databases or systems
  • Website page scraping & consolidation into a database 
  • Download of online documents & send via email
  • Auto-Generation of documents
  • Automatic sending of emails/ notifications
  • Automated download of email attachments & consolidation

The above are just a few examples so please if you are working on a Ukraine aid project and think you could speed up the operations by automating a certain task or process, please do reach out to us to consult and receive one or a few of our robots (completely free).

 

For a bit more context on the sources where information could come from, please see the list of formats supported below:

 

  • Web platforms
  • Email exchange (IMAP)
  • Word 
  • Excel
  • Text file
  • XML
  • API

The above are scenarios we can react to pretty quickly but please note that we can help with many other scenarios, and formats too. It’s just that it’ll take us a few days.

 

If you are working on a non-profit Ukraine support initiative or you know of a project that would benefit from automation to speed things up and increase access to help, please get in touch with us on helpukraine@wearecapto.com or LinkedIn, or kindly share our details with your relevant contacts.

 

From our entire team at Capto we wish the people of Ukraine and everyone who has opened their hearts, thoughts, and homes for Ukrainians to keep strong, have faith, and stay united.

 

All Together We Can!

 

Capto Team 💙💛

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coding language on screen

What is open source RPA: Ultimate Comparison with traditional RPA

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What is open source RPA?

Before we dive into open source RPA, let’s briefly discuss Robotic process automation (RPA) more generally. RPA is often the first step toward automation for many businesses. Often businesses look no further to automate manual, multistep tasks that typically take a human a long time to complete. However, RPA as a technology is evolving quickly. This means that it can now handle with perfection not only swivel-chair processes but also end-to-end process automation. 

 

RPA has the power to significantly increase the volume of business you attend to. It’s also powerful in fueling innovation and creativity in teams. And sure, it’s also got the potential to reduce costs by 30% to 50%.

 

With the increasing need for automation, the discussion about what type of RPA to implement becomes more and more topical. So here’s a summary of two main categories of RPA on the market today. Open source and closed, or traditional, RPA.

Open source RPA is robotic process automation where software robots are built using an open-source coding program or language that is publicly accessible and often (but not always) free to use. This effectively means that when a developer creates your robot, he/ she writes the code using one of the top open source RPA frameworks or simply python.

 

At Capto, for example, we use mostly python to build our customized robots. This means that we don’t engage with a commercial vendor. This helps us keep pricing low, quality and flexibility high, and security fully in control. 

What is traditional RPA?

Traditional RPA, on the other hand, is what we refer to when we hear expressions such as licensed RPA and commercial RPA. This type of RPA is indeed based on developer licenses and is proprietary. This means that the developer building your bot doesn’t have access to the underlying source code. Developers are effectively left with a drag-and-drop-like interface, or low-code functionality, to build all required bots. 

Differences between open source RPA and traditional RPA

The differences between the two “schools” of RPA are many and all pretty fundamental. To understand them better let’s talk through them one by one:

Development

One of the key differences between open source and traditional RPA is the way the bots are developed. With open source RPA, bots are developed using python or another open source language or framework. This means that the developer has direct access to the source code and can improve it, update it and maintain it directly at all times.

 

With traditional RPA the developer has no direct access to the underlying code. Instead, he/ she uses a drag and drop interface or low code to build the required bots or workflows. This can make it quite hard for developers to build the exact solution desired by the end-user. This is due to the inherent proprietary systems and the reduced flexibility since developers can only use the set of features made available by the vendor. 

Deployment

Open source RPA ensures a very fast, and hands-off deployment. Deployment can be done on your desktop or the cloud depending on the specific requirements. In both cases, however, deployment is done pretty smoothly and with no major bottlenecks.

 

Traditional RPA historically used to offer only on-premise deployment. This was expensive, taking a long time, and was often associated with extensive maintenance efforts to keep up the on-premise servers. Nowadays, however, most traditional RPA providers offer a cloud deployment as well which is expected to reduce the deployment time and make it far easier to complete successfully.

Infrastructure

With open-source RPA you have full control over the infrastructure. What that means is that you decide where to host your bot, on a desktop, on-premise server, or the cloud. If the cloud option is preferred, you then have full control over which server to use.

 

Traditional RPA, on the other hand, is inherently associated with a closed costly infrastructure. Here you also have control over where your bots are hosted. However,  it’s up to the vendor to choose the server provider. This means you have limited control over the overall cost since this is pushed by the vendor. 

Maintenance   

With open source RPA maintenance is required following third-party updates. Say your bot connects to Facebook and Facebook makes a big update to its platform. This will potentially require the developer to make adjustments to the bot to make sure it works smoothly with the new version of Facebook.

 

With traditional RPA, however, maintenance is required not only because of third-party updates but also updates pushed by the vendor. The latter is completely outside of developers’ control. What’s incredibly important to mention here is that the rate of broken bots with traditional RPA has been notoriously high. 

 

The reason for this is mainly due to auto-updates of the vendor systems over which developers have no control. This, coupled with insufficient documentation on the updates, makes the successful maintenance of bots tricky and costly. 

 

Thankfully, this issue is not in scope with open source RPA. This is the case because with most open-source software and languages, python especially, developers have full control over the versions of the frameworks and libraries used in building the bots. Importantly, the version used in creating your robot will not change automatically with future updates, unless your developer decides so. 

Features

With open source RPA the features that your robot can have are virtually limitless. Developers have access to the code. As such he/she can be as creative as he/she wishes to achieve ultimate customization.


With closed RPA, the features that developers can use are vendor specified. This means that developers can only use the features included in the vendor’s set of features. This can become limiting both in terms of the functionality of the robots and the creativity that developers can unleash. 

Scalability

Going hand in hand with the flexibility and control over infrastructure and features, open source RPA allows for fast scalability. Not only that but it’s also the most cost-efficient option on the market today to scale RPA. More on that in the pricing section below. 

 

Traditional RPA has made a name for itself when it comes to the scalability of RPA. This is mostly driven by traditional vendors being the only trusted option on the market until recent years when open source RPA started to shake things up.  Scalability with traditional RPA is still perceived as best achieved with traditional vendors. However, that only applies to businesses that can justify the large investment required.  

Resources for developers

When we talk about open source RPA we talk about an active global community of thousands of developers and contributors. The amount of documentation that is available is also impressively extensive and free to access.

 

In comparison, the resources available for developers using traditional RPA are made available from the relevant vendors. As such, they tend to be limited when compared with open source RPA. This is the reason why often when traditional bots break, it takes quite a bit of time to find and resolve the problem. 

Security

With access comes control. With control comes security. Open source RPA ensures robust security since at any point the code can be audited. Also, with access to the underlying source code, developers can see, locate, and fix vulnerabilities in the code as well as any bugs.

 

Traditional RPA is inherently closed. This means that the code making up your robot is not visible to you or your developer at any point. It is only accessible by the RPA vendor. As such, security is based entirely on trust. 

Pricing

Open source is a low-risk low-cost way of getting started with RPA. If you have the development resources on your team, you can build some test robots virtually for free. At Capto we use open source technology and adopt a consumption-based pricing model where the price is determined by the amount of work your bots get through. This means that you are paying for the direct value you receive from your bot 🙂

 

In comparison, traditional RPA adopts license-based pricing. This means that an annual license is required for each robot you need to be deployed. As such, the upfront investment is pretty high and makes scalability a very pricey undertaking. 

 

Important point to make here is that with open source RPA you can now bring as many robots as you need in solving one problem because you don’t pay per robot but per consumption. This compares with having 1 single licensed bot doing everything on its own. Why having just 1 licensed bot doing all the work? Because with traditional RPA you you pay per robot not job done, and the amount is pretty significant so it’s hard to justify the extra cost. 

Company size

Traditionally licensed RPA was created and continues to be used by large organizations that can justify the high cost. We’re talking about large companies with complex processes the automation of which would delivers a high enough ROI to justify the investment into a robot.

 

With open source RPA the discussion about company size and who can afford RPA becomes irrelevant. That is the case because companies of all sizes can start using RPA virtually for free if they have the development skill in the team. If external help is required, the upfront cost tends to be insignificant or in some cases none which means that every company can afford it and start benefiting. 

Conclusion

In summary, these are the main differences between open source and closed traditional RPA. Which type of RPA you go with is inherently a blend between appetite for flexibility, security, cost, and speed. As such, there are no one-size-fits-all solutions as the wider business circumstances and the specific project requirements could weigh the scale in either direction. What we encourage businesses of all sizes to do is consider all options and make decisions based on complete information. Also, if you or anyone of your teams need further information, make sure to consult!

 

Our team at Capto is here to help with any automation-related questions so feel free to leave us a comment or if you want to speak to us directly, you can book a call with one of our experts. And yes, it’s free and without any strings attached. 

What is open source RPA: Ultimate Comparison with traditional RPA Read More »

How RPA helps maximize your ERP investment

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We’ll talk about RPA shortly but first. Investopedia defines Enterprise resource planning (ERP) as the process of integrating the important parts of any business. This is made possible with the help of an ERP software system. These same ERP systems appeared by this name in the 1990s and promised to integrate your business planning, inventory, sales, marketing, finance, human resources, and just about anything into one single place. Pretty powerful, right?! Well, we certainly think so. 

What is RPA?

Before we move on though, it’s important to clear out what we mean by RPA or robotic process automation. According to our partners and friends at Robocorp, it is a type of business process automation that involves software robots. These robots automate manual, multi-step tasks and processes that typically take a lot of time, and energy to complete. It would have been cool to watch if they did, but sadly you wouldn’t find RPA robots walking around your office, shouting “fire” every time they launch an automation. Instead, they’re lines of code that we implement on our desktops, internal servers, or the cloud to perform tasks for us automatically.

 

Why would we do that? Well, because we have far more valuable things to do than enter data, classify emails, scrape data from the web. You get the idea.

Link between RPA and ERP

ERP systems have come a long way to the point where Cloud ERP is not even a new development anymore. However, many legacy systems, critical in the business operations, have lacked the modernization of the ERP space. This has slowly resulted in a lot of manual interlinking required to be made between legacy systems and Cloud ERP. Luckily, RPA is here to help!  

 

RPA replicates human actions without the need for any additional software, IT upgrades, or interruptions. What that means is that RPA has an impressive track record of helping companies become more efficient. This is achieved by automating data flow between systems and freeing up people to invest time into more meaningful activities.

 

This makes ERP automation one of the key processes to automate within your business operations.

How RPA helps you get more out of your ERP investment

How many instances can you point to where your business has invested in a piece of technology or software and paid a significant amount for it. Yet, the adoption of the technology or the utilization of its full capacity has been somewhat disappointing?

 

Wherever the ERP needs to be integrated with bespoke or legacy systems, the use of its full functionality is limited. This is where the use of RPA becomes very powerful.

 

Senzcraft have noted that integrating ERP systems with other systems takes months of effort. That’s especially the case if the integration is with customer or supplier systems. RPA helps to accelerate the process through automated communication between systems.

The world is going on the Cloud! And so are you ... despite any legacy systems

When integration between a Cloud ERP and a legacy system is not available, the data transfer is performed manually. In such cases, RPA bots come in with a bang to transform this manual process through automation.

 

Through successfully implemented RPA businesses achieve greater effectiveness and speed. However, they also get an economical interim solution until a legacy system is upgraded or replaced. 

 

This is particularly important in M&A situations where legacy systems are inherited as part of the merger only to create operational “mayhem” and inefficiency. RPA, and especially open-source RPA, becomes the perfect solution in these scenarios due to its flexibility, affordability, and quick deployment. 

You can go "modern" without the cost, hassle, and time usually required

The upgrade or replacement of a dated system causes disruptions. How severe they are depends on the size of the business, the data stored, and the attitude of staff towards change. This is often caused by a significant amount of time and money spent, staff resistance, and short to long-term loss of full operationality. 

 

Often the risk and unpredictable business consequences that may follow a technological revamp incentivise leaders to delay the system modernization until it is absolutely business-critical.

In these circumstances automation robots allow businesses to benefit from the latest digitalization technologies and developments in process automation.

 

There are already multiple real-life examples of “use cases across diverse functional areas such as order to cash, tax & compliance, logistics that are based on RPA working with client ERP systems. In these cases, value is created through improved automated operations, low cost to scale, and future-ready process design. ROI is often reflected in improved process KPIs in less than 8 weeks”.

It's time to build in a better performance & more flexibility

RPA allows for a significantly improved synchronisation between systems. It ensures faster performance and access to a lot of capabilities that human task performers would take far more time to execute. The scope for error is significantly reduced too. 

 

RPA also brings in an eased access to the benefits of both Artificial Intelligence (AI) and Machine Learning (ML), such as image processing, character recognition, and language recognition capabilities. It’s important to note that otherwise, both AI and ML would not be available unless a direct investment is made into the technologies. 

 

RPA essentially mimics the behavior of ERP users, records their actions as they enter data, access applications/ systems/ databases, perform commands and transfer files and data in-between applications. These are only a few examples of how RPA ensures an improved ERP performance and as such, an optimum version of your ERP which is automated, responsive, and more user-friendly.  

End-to-end process automation

ERPs are incredibly helpful and the benefits of RPA have been proven time and time again. However, the ultimate focus now is not only on the automation of standalone tasks but the streamlining and automation of entire end-to-end processes. RPA adds speed and accuracy to the business architecture and makes possible the connection between different processes which otherwise may be impossible to link smoothly and effectively.

 

Just recently at Capto we had a great example where a client had to connect their ERP with their bank’s access portal via an SFTP server. Whilst the process on the bank side and the process on the client site were well defined and streamlined, they were not connected. This meant that a significant amount of time was spent each week by the client’s team to review the information on the bank’s portal and transfer the data into the ERP. 

 

This is a good example where RPA offers end-to-end automation of the entire process which ensures the automated transfer of data between the bank’s portal and the ERP, thus saving a lot of time for manual review and data transfer. This is a strong example of how powerful RPA is in the automation of entire processes as opposed to disconnected tasks and standalone processes.

Ending note

The implementation and increased utilization of ERP and RPA are here to stay. The ultimate business advantage, however, comes in the combination of ERP and RPA. This results in a smoother, faster, and error-free utilization of the ERP of choice. It also ensures access to the latest technological developments and benefits of both AI and ML. It is the proven shortcut to maximizing your ERP investment without the need for additional applications or IT upgrades of any sort.

 

What’s more is that with open-source RPA there are also no annual robot licenses or high maintenance costs, since the cost is determined based on consumption. This way you only pay for the true value you receive from your hard-working robots 🙂 

 

Better, faster, stronger … cheaper! 

How RPA helps maximize your ERP investment Read More »

6 Key Processes to Automate within Your Business Operations

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Every business is unique in its offering, niche, supply chain, verticals, and business model. However, what is common between all businesses is that they all have operations. There are processes that need to take place for business to be conducted so customers receive their products and suppliers – their payment, on time and accurately. All of a sudden running a business sounds easy, and so straightforward … if only. 

 

The context we set out below provides interesting insights but if you’re in a rush, dive straight into the processes you should prioritise for automation here.

 

Business operations and the team that make it all possible have a lot of stakeholders to manage. As such, there are a lot of processes that need to be performed accurately but also time and cost-efficiently for great business results to be achieved for both investors and customers. That’s often the key challenge of COOs and Ops Directors. How to run everything quickly, efficiently, correctly, and still keep customers, employees, and investors happy? 

 

And that’s where business process automation comes in a big way!  

What does company automation mean in the Ops world

The last 18 months and specifically the operations disruptions caused by Covid all around the world, were golden proof of the power and need for company automation regardless of location, company size, and industry.

 

73% of organisations worldwide are using automation technologies – such as robots, machine learning, and natural language processing. This was a response to the pandemic, the accompanying disruptions in demand, supply shortages, and increasing sick leaves and resignations. 

 

McKinsey reports that companies’ digitisation of customer and supply-chain interactions as well as internal operations has accelerated by three to four years solely due to the disruptions caused by Covid. This was in response to new demands and the need to respond rapidly to changing circumstances.

 

These, according to executives, have accelerated the investment into digital initiatives and in particular company automation. What is fundamentally different in the post-Covid business environment is that a digital transformation is no longer just “nice to have” in order for business operations to be cost-efficient.

 

Business leaders are now recognising the importance of automation and digitalisation as mission-critical factors to achieving the overall business strategy.

 

This is why we put together a list of the key operations processes that leaders should prioritise for automation to achieve fastest ROI and save the most resources to invest in more valuable projects. So, let’s dive right into it.

Keys Operations processes to prioritise for company automation

Unquestionably, there are a lot of business processes that will come up in the conversations about where to start with automation. However, at present, the following 6 processes are bound to require the highest investment in terms of time, staff resources, and cost and be characterised by the largest need for manual intervention, high repetitiveness, and predictability of the steps required to complete the process. 

1. Document Generation

One of the key challenges that most businesses face daily is the generation of documents, for example client contracts, NDAs, employment, and other legal documents, purchase-order agreements, etc. The process usually requires a few predetermined steps, a series of manual actions, and a lot of concentration on the side of the staff who prepares the documents to make sure all information is transferred across from all key systems into the newly generated document completely and accurately. Clearly, the scope for error and time required are excessive.

 

However, automation comes in to auto-pull all required information from your companies’ internal systems, databases, and any relevant external sources. A robot designed specifically for the task can generate all documents required. This is done by first selecting the correct template from your company depository, then filling in the correct information, finalising the document, and even sending it for your review via email. Ready for your review and any follow-up adjustments. 

 

Automation quickly transforms a long, dull and costly process into a standard task performed quickly, and efficiently by a robot. And with significantly reduced scope for error and no staff frustration or exhaustion. 

2. ERP Automation

Nowadays it’s hard to imagine running a business without an effective Enterprise Resource Planning (ERP) system. Used to manage processes such as resource allocation, price changes, demand forecasting, and so on, an ERP system gives a real-time carousel of the key metric critical for the smooth running of your business. However, that’s the case only if the right integrations are made between your ERP system and all the other systems, datasets, and Spreadsheets you use to capture all your company data.  

 

In such cases, automation and the implementation of software robots are becoming increasingly valuable. They quickly ensure that no information is missed out, transferred across incorrectly, or data is delayed even by a single day. 

 

Automating the interconnectivity between your ERP system and your local desktops and external systems ensures that your ”information carousel” is efficient, real-time, accurate, and stress-free at all times whilst improving the quality of your analysis. This is made possible by designing an intelligent robot that automates all data flows going to and out of your ERP system, thus increasing the available insights, and reducing the scope for data omission, delays, or sick days.

 

To find out even more about ERP automation also check out: How RPA helps maximize your ERP investment

3. Purchase Order processing

Essential to any business is the ability to place purchase orders with the most suited supplier, at the best available price, and with all other required parameters in an efficient way to ensure the supply chain cycle is quick, smooth, and meeting quality standards. Similar to the automation of the Document Generation, the purchase order process can be easily automated to instruct a robot to place all required orders. This is achieved by intelligently taking all order details from a sheet, system, or database and processing dozens of transactions in mere seconds. 

 

What’s important to note here is that a robot can not only do the manual repetitive task spotlessly but it can also use pre-configured artificial intelligence to ”learn” from the previous orders placed. This way it makes educated predictions about which item should be ordered from which supplier and in what quantities depending on the expected demand, for example. This speaks for the fascinating power of automation and the extent to which it can streamline, improve and boost the purchase order process irrespective of the volumes.

4. Demand and Supply planning

This requires an effective real-time gathering, making a lot of computations and analysing of a lot of different data, often stored in different places which make it even harder to execute the process. Performing all these tasks manually requires a significant amount of time, concentration, and exposes the final analysis to error in the calculations, omission, or inaccurate transfer of information.

 

The use of a software robot becomes very crucial in cases where you have multiple sources of data, complex operations, and volume of data that is otherwise unrealistic to analyse in its entirety by a human. A robot gathers all the information, performs the necessary calculations,  and sends you the final results and forecast. This ensures that the only input required by a human is the final decision-making and judgment exercise, thus guaranteeing accurate forecasting and improved quality of the demand and supply planning. 

5. Inventory Management

Keeping an accurate representation of your inventory is absolutely paramount for the smooth running of any business, especially within retail, supply chain, and logistics. This is why inventory management has been one of the key processes that businesses prioritise for automation. 

 

In this particular process, software robots can monitor of the inventory, perform key computations and analysis, send notifications when stock levels fluctuate below and above certain levels, place orders automatically when triggers are met, and provide real-time reporting to management. Robots make it accurate, easy, and smooth to track manage the stock levels. They take actions automatically when certain events occur which increase the responsiveness of the business and improve the quality of the overall process as all actions are based on data-driven triggers.

6. Resource allocation & management

One of the key challenges of any business is how to utilise supplies, staff, and available funds in ways that ensure the smooth short-term operation of the business as well as its long-term sustainability and profitability. This is where proper management and smart allocation of resources becomes not only important but essential for the sustainability of the business. This is often contributed to all the disruptions that are frequently associated with the incorrect allocation of materials, budgets, and people to projects and tasks. 

 

Software robots support this entire process by automatically integrating all required data and performing the necessary analysis to ensure resources are allocated strategically. Robots also assist by sending reminders, notifications, and inquiries to all relevant teams as needed and circulating the allocations report to all parties involved, thus saving a lot of manual tasks and back and forth between people and departments. Not only that but they save a significant amount of manual hours which is better invested into analysing and strategising based on the analysis prepared by the robots.

That's all well and good but how to automate all these processes

The short answer here is robotic process automation (RPA) or the design and implementation of intelligent hands-off robots that perform all manual tasks involved in the above processes, and much more! The idea of RPA is that a task or a whole process can be delegated to a digital worker, i.e. robot, that performs within seconds all that is required, with stellar accuracy, without exhaustion and tiredness, and 100% consistently (all dependent on the pre-configuration). 

 

On top of that, however, it’s important to note that we don’t just talk about any RPA technology. We talk specifically about open-source RPA. The reason for that is that so far open-source RPA is the technology that we see time and time again to solve business problems quickest, most flexibly, and sustainably, whilst allowing for complete control over the process and scalability of the automation across departments and processes. 

 

RPA and anything that mentions open-source are concepts that have been around for a long time already but they still carry ambiguity and uncertainty, hence a lot of businesses still fall short to understand and take full advantage of them. 

 

Our team at Capto is here to help you answer any questions you have on RPA, open-source, or process automation more generally. Simply schedule a call with us and get your list of questions ready. 

6 Key Processes to Automate within Your Business Operations Read More »

24 Mission-Critical Processes to Automate within Finance & Accounting

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Automation is quickly shifting its place in companies’ priority lists to become one of the top three strategic developments to focus on in 2022. With that, key processes within finance & accounting continue to distinguish themselves as the most business-critical automation examples to focus on first. This is driven by an impressive record of successful automation developments and a proven fast return on investment.

Main characteristics of processes that are highly automatable

Automation can save your business up to 40% of losses resulting from accounting errors. With so many processes still being highly manual and inefficient, it’s super easy to get excited about automation but hold on a moment. Not every process you’re dealing with is “eligible” for automation. For an automation project to be successful and to achieve a quick and substantial return on investment, the processes involved should have the following characteristics:

  • highly repeatable
  • high volume
  • rules-driven
  • with low exception rate
  • with inputs that are electronic or machine readable.

All processes that meet these criteria are highly automatable and should be prioritised for automation.

Keys automation examples to prioritise within finance

Now that we know what processes we should be looking for, let’s look at the keys ones within finance to automate first. There is a vast amount of processes within finance & accounting that are perfect candidates for automation. As such, we will group them into four different function categories. This is namely: accounts payable, accounts receivable, compliance, and month-end reporting.

Automation examples within Accounts Payable

Ensuring effective supplier due diligence and correct and timely payments for all purchases made are two simple-sounding but certainly not easy goals to ensure and track at all times. This is where automation can significantly add value. Both in terms of freeing up time for more investigation and ensuring the company finances do not suffer due to untrustworthy suppliers or payments made to vendors in error. Here are some of the key processes that companies all sizes and industries must automate to ensure the health of their account payable function:

  • Purchase order processing
  • Supplier verification and setup
  • Invoice data extraction
  • Supplier statement processing
  • Classification & Reconciliation
  • Payment processing

Automation examples within Accounts Receivable

One of the main areas of focus within finance is unquestionably the Receivables. All related processes ensure funds are received by the deadlines, and are reflected in the accounting systems correctly. In addition, where receipts are delayed, processes ensure they are flagged, investigated, and resolved timely. This is to ensure no cashflow disruptions, late supplier payments or risk of damaging your client relationships.

 

To ensure increased productivity of your accounts receivable team, and that the operations are void of human error, the following processes should be prioritised for automation. They have the highest return on investment and ensure that the overall process runs smoothly, error-free and quickly. Also, they are directly linked to a healthy balance sheet and an effective cash collection with are both business-critical.

  • Automated Generation of Invoices
  • Billing processes & Automated invoicing
  • Invoice data extraction
  • Account reconciliation
  • Sending of invoices to customers
  • Customer data management & communication
  • Customer verification and setup
  • Automated Payment processing

Automation examples within Compliance

Compliance has notoriously been the business function that often takes the most time, is linked to the highest financial and, potentially, reputational risk for the company. Yet, it is defined by many highly manual, and repetitive processes which means that both the potential and need for automation are fascinating. 

 

One of the most painstaking compliance processes that most large enterprises have to deal with annually is the external audit and all the multi-faceted requirements that come as part of it. Even just within audit, there are many and varied use cases that can reduce the time and cost of an audit significantly. One example is an automated reconciliation between systems the output of which can be shared with auditors for investigation of discrepancies. Another one is auto-populating auditor’s working papers with the information for all samples requested. Of course, these are just a couple of examples in an area so rich with automation opportunities. 

 

However, besides audit, there are many other processes within compliance that meet the criteria for high-automatable processes. Some of them are as follows:

  • Extraction of data for compliance reports
  • Auto-reconciliation between systems and accounts
  • Data aggregation for tax liability
  • Automated Tax return preparation & auto-filing
  • Automated conversion of data to tax basis
  • Completion of tax return workbooks

Automation examples within Month-end Reporting

I doubt any finance team member would disagree that month-end closing procedures can be a time-pressured and highly stressful process to get through. Performed every single month, all processes involved are highly automatable and are proven to save not only a lot of material mistakes for businesses but also risk, time, and stress. 

 

One of the key processes to note here is the generation of the month-end reports. This can be easily automated by automatically extracting all relevant information from all company systems, emails, and other reports, and automatically directing all the information to an Excel sheet or any other relevant working file, ready for the required month-end reports to be generated.

 

However, it is important to mention a few other important and highly repeatable processes. These can further ease the month-end reporting process and significantly improve its efficiency. Some of these processes are the following:

  • Automated data extraction from relevant systems 
  • Automated report generation & auto-send for review
  • Month-end Auto-Reconciliation of the cash accounts
  • Automated performance of month-end closing calculations

That's all well and good but how to automate all these processes

We’ve been talking about automation for over 10 years now and the reality is that now there are a lot of technologies and solutions out there that can solve all the challenges mentioned above. The only question really is how, to what extent, and for what cost. Here are a few technologies that can help with the automation of your finance & accounting processes: 

1. No-code solutions

With the hype of automation over the last few years, in particular, a lot of companies were founded to sell the idea of easy automation for all simple tasks and basic workflows. Such solutions have become very popular in automating simple workflows, such as automated sending of data from one app to another, or e-signing of documents. 

 

These solutions can be super handy and easy to get started with if your tasks are simple and the apps you want to automate between are on the list of these companies’ integrated systems. With this, of course, comes the natural flaw of these solutions in that they quickly become short at solving some challenges. Examples of that is where a custom-built system is involved or the workflow is complex or specific to your business and internal systems. 

2. Use Case specific automation solutions

Depending on the use case, there are now a plethora of companies that have specialised in solving a particular use case, again with no coding required on the customer side as well. For example, there are now plenty of options to choose from if you wish to automate your payment processing or your expense management, or your customer communication management. That’s great as these solutions often come with a lot of features and integrations which make them quite advanced in their particular use case.

 

But can and should a large enterprise have separate software that solves one particular use case at a time? I’ll let you think about it because the answer would vary depending on the company size, complexity, maturity, and internal policies 🙂

3. Extract, Transform, Load (ETL) technologies

A rather powerful and industry and use case agnostic technology that has emerged not so recently actually is what is called ETL, or extract, transform, load software, such as Data IQ and Alteryx, among others. These tools definitely don’t come with the “plug in and go” proposition of most no-code solutions providers mentioned above. As such, good technical know-how is required to get the most out of the power of these technologies. However, once mastered, they have the capabilities to extract and transform data in all required formats, systems, and outputs. Also, across difference use cases and business requirements. 

4. Robotic Process Automation

Last but most definitely not least, we have to mention robotic process automation (RPA). However, not just any RPA but open-source RPA as that’s fundamentally different from traditional Gen1 RPA drag & drop solutions. Open-source RPA allows any process and any task to be automated exactly as required without the hefty cost of traditional RPA licenses. This is irrespective of complexity, industry, or inputs and outputs. Open-source nature of RPA allows a fully customizable, flexible, secure and affordable automation of all processes irrespective of complexity, company size or industry. 

The opportunities and need for automation are significant and ever more important to prioritise now than ever. With so many processes to prioritise for automation and so many options on the market, we hope this post was helpful. However, if there’s anything you feel we’ve missed out, let us know in the comments and we’ll make sure to incorporate. 

24 Mission-Critical Processes to Automate within Finance & Accounting Read More »

Capto introduces NextGen Automation at FinTech & InsurTech London

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Capto was invited to speak at one of the leading FinTech and InsurTech conferences in Europe, happening on 12-14 Oct in London.

The FinTech and InsurTech conference was a hybrid event which brought together leaders from companies from giants like AXA, IBM, Capgemini, and Microsoft,  and scale ups and start ups such as OakNorth Bank, Saphyre, Nuggets and Capto. Our co-founders were super thrilled to be invited to speak alongside experts from the FinTech and InsurTech industry and present their take on automation and its key role in the digital transformation of businesses post the pandemic. 

Why was this so important

Not only was the event the first of its kind after the breakout of Covid-19 but it was also the first event our co-founders were able to present the next generation of automation tools which come to completely shake up the market. Cloud-based, open source and serverless, NextGen automation technologies make automation accessible, scalable, flexible and affordable for companies across industries, and importantly, across company sizes too. For this event, Capto joined together with our partners at Robocorp who are the creators of the market-leading open source python-based RPA (Robotic Process Automation) platform which Capto heavily relies upon for the automation of an impressive range of manual processes and repetitive tasks. We couldn’t have been more excited for our partnership with Robocorp and the opportunity to present to a larger audience the capabilities of open source RPA and how Robocorp and its cloud-native open source platform fundamentally lowers the barriers to RPA adoption by making it easier, quicker and cheaper to build and deploy software robots that automate manual mission-critical routines. The conference clearly demonstrated the need for open innovation, digital acceleration and financial inclusion, addressed not only by leaders of FinTech and InsurTech businesses like Checkout.com but also executives of legacy organisations such as Bank of England, Societe Generale and AXA.

Replay of the talk is now available

Our co-founders’ 20 min presentation provides an overview of what is meant by NextGen automation, how the next generation of automation technologies facilitates the growth and sustainability of companies in and outside of the Fintech ecosystem, what the impact of the pandemic has been on digital transformation, and what NextGen automation transformers all businesses should be learning more about and start implementing sooner rather than later.

 

If you have any questions, comments or ideas, please <a “=”” href=”http://calendly.com/capto/robot” target=”_blank” rel=”noopener”>reach out to our team and we’ll happily help however we can!

About Capto

Capto empowers companies and their teams by designing, building and managing bespoke solutions, in order to automate routine tasks and complex manual processes. With our Automation-as-a-Service model, we create automations tailored to your company’s unique processes, team goals, business needs, and appetite for change and investment. Our robust approach to automation allows us to resolve business problems smarter and quicker whilst staying fully focused and committed to adding value and building trust with every single one of our business partners and clients. We believe work should be analytical, efficient, value-adding and purpose-driven and we are here to create the infrastructure to make it happen whilst saving businesses time, risk and cost!

Learn how to start automating today

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Human errors are a total misconception

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Ok, we’re starting strong with something everyone has said or at least heard in the past few years, in talks about quality control, process and performance reviews, or technology presentations. Human errors became the big red dot to point at whenever people wanted to motivate us  to buy the next new thing that was gonna save us from these notorious errors that had to be reduced and eventually eliminated.

 

We won’t challenge the “errors” part here. Errors do happen but we wanted to get to the bottom of WHY they are happening and how technology is causing and resolving them … And so, we researched and researched and found that the human errors we are all talking about daily are actually a huge misconception in that they are NOT human at all. 

 

They happen naturally and we challenge you to think of them as Natural errors instead and here’s why.

Let’s start quickly and give you a bit of context.. Why do we call it a human error?

Human errors came around for the first time in the 80’ (Swain and Guttmann, 1983) when Witney Houston wanted to “dance with somebody”.

But why the 80’?

Basically, that’s when technology kicked off.

 

Companies started to invest more and more in digitizing their different processes.

 

People stopped writing their invoices on papers and started having cashier machines.

 

Traders stopped calling and started clicking.

 

Supply chains were no longer done through the post but via email.

 

And this changed a lot of things around the world.

 

People were spending more and more time being the bridge between all these new solutions and quickly started to invent new activities like copy-pasting, spreadsheet mesmerising, folder organising and email forwarding.

 

This created a lot of activities that people are still doing today (around 45% of their time) but, reality is, none of these activities are designed to be done by the human.

 

With the main goal of increasing efficiency, and quickly, we filled our work lives with more and more sources of information, i.e. different databases and systems, without thinking sufficiently about the information process. That’s how humans became the bridge between well-thought, efficient, safe alternatives to hand-written invoices and manual cash reconciliations. 

 

We had successfully created a wide web of systems which meant people could do more, quicker!

 

And the more we were able to do, the higher the returns on investment. So we pushed for even more … to the extent that people had even more “bridging” to do between the systems and with that, more and more mistakes because the nature of the work was eye-tiring, unexciting and anything BUT human-like.

So it's the people who are responsible for the human errors, right?

Mistake to think humans are making mistakes

Are we really though? 😲

 

No! Take a look at your own job, you probably do a lot of things that should be done by robots, and not you … Countless tasks nowadays require no thinking, just a simple execution with standard logic to “get to the second line”. And that’s where talking about human errors is just so out of place. All these errors are generated by a process that isn’t designed for humans … yet we’re STILL stuck at the “bridging” stage.

 

All these human errors happen naturally because they stem from processes that require NO thinking, innovating, cognitive reasoning and judgement, all of which are the activities tasked to the human …

 

No human tasks, no human errors .. or at least, you’d think that’s simple logic!

 

Think about any of the following for a second: 

 

  • Have you ever transferred lots of names, dates and numbers from a scan into a spreadsheet? Then you probably remember asking a colleague for extra pairs of eyes in the end, just to make sure you haven’t gotten anything wrong?
  • Have you ever had to repeat a series of keystrokes more than 100 times? We all have, so most likely you also had a moment of realization that you lost your focus for a sec … when you saw a duplicate entry you now had to erase?
  • When was the last time you had to send a report to your manager? Do you still spend good 10 minutes each time reviewing the template just to make sure you did not miss to correct a spelling mistake?

Well,  there are infinite examples of natural errors that we collectively try not to talk about aloud too often because they’re so simple that we don’t want to be associated with them.

 

I mean, you had typos in your email, COME OOON??! 😫

 

This is a reality in all companies still today. It costs a lot, yet it’s often not even voiced, faced or even properly estimated because it comes to say that the operations of the business isn’t error free and let’s be honest, we all like to be right! 

But let’s voice some of the costs of these natural errors?

Human❤

Think about all the stress and self-doubt that are experienced by the individual who’s been “found guilty” of making these errors. All this not only leads to total lack of enjoyment at work, but can also impact the person’s mental health if the conversations aren’t handled in a constructive positive way.

 

And if that isn’t bad enough already, with time and frequency, this could also disrupt some otherwise good personal relationships, both within the team and potentially clients …

 

So there’s A LOT at stake!

Time spent/ wasted

Even if the error is corrected, think about the hours that are being spent, on both drafting and then reviewing the information. And what if you review and spot areas for improvement? You’ll probably return the work  to the preparer and review once again later … tick tock!

 

All this time is probably spent in little increments here and there but if you add them all up, you might be surprised at the amount of time that gets wasted … daily!

 

What if you could invest all this time into something that actually makes a difference?🤔

Desire to just leave -> Higher Staff turnover

The types of processes that are boring and perfect opportunities for natural errors often raise personal questions.

 

Am I really here to do this kind of job?

 

What do I bring to the table?

 

Why am I stressing about such silly things?

 

Maybe I should look somewhere else?

 

And that can be costly to the individual, the HR department and the  training team … you can think a long way. You know the soccer players and the whole team need stability to create a truly great team that work.

 

Think about your players and your team the same way!

Risk Management

Natural errors do happen and if someone knows this, it’s the risk management team. They estimate the financial impact across the organisation and then spend a lot of time trying to reduce the compliance risk. Where are we most exposed to and how badly can it get? 

Reputation, both personal and company

We often hear on the news and social media about errors that this and this company made back in 2010. Well, natural errors have the nasty habit of causing a lot of bad publicity if unspotted at the right time and the reputation cost could be pretty bad. Talk to BP or more recently Peloton … 

 

But what about the individual? Think of someone who’d like to be “remembered” for the typos and the lack of attention to detail … You can’t think of anyone because no one would ever like to have such reputation follow him/ her.

Clearly, financial

If the error remains unspotted and is sent to your client or to the client of your client, its cost is direct and can end up being very expensive. 

But you are right ... It’s easy to point to the problem

So what about the solutions?

Well, luckily the technologies have caught up so quickly that today they not only bring the systems but also the solutions that do the “bridging” so you no longer have to.

 

Next time you find yourself doing something dull that doesn’t require you to think, innovate, reason cognitively or make a judgement, read a bit about the possibilities of technology today and speak up because

You shouldn’t be competing with software and robots to do THEIR job.

You’ve got innovative, creative, judgement work to do instead so stay focused on that. 

 

In the next blogs we’ll talk about the different technologies that are already solving your daily frustrations but just as a little teaser to kick start your day, these can broadly be grouped for ease into the following “families”:

Optical Character Recognition

Think about the errors you make or see your associates make (daily) when copying information over from a scan into a spreadsheet, system, etc. OCR reads all sorts of files (including scans) and transfers the data into a spreadsheet or a system automatically. 

Extract Transform & Load

Extracting a report, updating its values within another report, and loading it into a different system. Wrong file, duplicates… Yep, that’s where ETL software comes to avoid these errors.

Robotic Process Automation

Navigating through your internal system every day and constantly checking if you did not forget anything? This is where the robot’s job begins by taking over all the manual tasks that are standard, predictable and follow a simple logic … thinking about all the clicking and scrolling you do daily. 

So what to remember?

Whitney Huston dancing with Capto

Errors do happen and those that we call human are often wrongly attributed to the human.

 

So we call all the simple typo-like errors that we make daily NATURAL instead because they result from tasks that aren’t designed for performance by the humans … simple! 

 

These errors can be avoided and the technologies already available today go a long long way at delegating them back to the robots. 

 

So if you have a task that frustrates you as you go about your workday today (or any day), feel empowered to speak up about it.

 

Chances are that people around you (yes, including your manager) haven’t read this post and aren’t as aware as you are now that technology can and should step in! 

 

We’d love to know about the  tasks that drive you a bit crazy as well so please send us a message on Linkedin and share with us.

 

Thank you for  reading this first blog!

 

If you learned one thing from it, we’d love to know about it so please let us know 🙂 

 

Have a great day and week ahead!🙌

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