Entrepreneurship Podcast post

Business Process Automation with Mahesh Vinayagam

George Grombacher March 6, 2022

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Business Process Automation with Mahesh Vinayagam

LifeBlood: We talked about business process automation, the role automation currently plays and what the future holds, the challenges of the entrepreneurial journey, taking chances, and how technology will enhance lives, with Mahesh Vinayagam, Founder and CEO of qBotica, a pure play robotic process automation services company.

Listen to learn why you ought to just get up and do it!

You can learn more about Mahesh at qBotica.com, Facebook, Twitter and LinkedIn.

Thanks, as always for listening!  If you got some value and enjoyed the show, please leave us a review wherever you listen and subscribe as well. 

You can learn more about us at LifeBlood.Live, Twitter, LinkedIn, Instagram, YouTube and Facebook or you’d like to be a guest on the show, contact us at contact@LifeBlood.Live.

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Our Guests

George Grombacher


Mahesh Vinayagam

Episode Transcript

Come on

george grombacher 0:12
one level this is George G. And the time is right welcome. Today’s guest is throwing a powerful Mahesh Vinay gum. Mahesh. Are you ready to do this? Yes, I think so Josh can very good morning to you. Good morning to you as well. Uh, he is the founder and CEO of kubatko Inc, their pure play robotic process automation services company, excited to have you on, tell us a little bit about your personal lives more about your work and why you do what you do. Brilliant. Thank you, George. So

Mahesh Vinayagam 0:45
workwise, I am the CEO and founder of the sperm cube article. So we are the robotic process automation technology. It’s a technology that many enterprises and businesses around the world have started to use big time in the last four to five years. What it does is basically imitates what a human does on a computer. That’s pretty much a lot of work in enterprises today happen on a computer, where someone just takes an invoice and pays a vendor or looks at some application form somebody scanned in and create an customer account, or respond to a dispute. A lot of stuff happens in enterprises, where humans are acting as a conduit or a middleman between computer systems, if you will. And we actually automate that work. And it helps enhance the human potential. So humans doesn’t act like robots. So we kind of remove the release robots out of humans, and let them do what is best for them in terms of showing empathy, talking to customers showing passion and growing, the business is more than just punching some keys on a keyboard. So that’s what we do. And we use technologies like artificial intelligence, machine learning, natural language processing, because these are things that imitate human actions the humans do. This should make, they can recall things, they can relate to things. So those are, and then they can read language, and understand linguistics and a sentence. So those are things that we tried to emulate from the humans. And the most easiest thing is emulating the monitoring action, which is like keyboard, click keyboard entering or mouse clicking and all that stuff. So all of this together is what called robotic process automation. So that’s what we do help enterprises, gain more efficiencies, efficacy, as well as agility and speed because they can now respond to the customer needs faster. That’s an actual, what I do, George, I love doing it. Because I used to be in the technology industry for over 20 years before I started my firm. And in the 20 years, I’ve seen a lot of these inefficiencies. And when I saw this technology coming about in around that 2015 time, I was captivated by it, and started selling it, saw the success of it and realize that if I are to, you know, really satisfy my entrepreneurial dream and do it in this wonderful land of opportunity. This is it. So I committed to it. And thanks to my family, friends and the wonderful community in Phoenix and around the USA, I was able to get here. Judge. Nice. I love it. So you’re working in tech for 20 years. You see these in DC, these inefficiencies. And I, I want to hear about sort of like the specifics that you sort of started noticing consistently, but then you say this is it if I’m going to be an entrepreneur, this is my opportunity to do it. I think that’s awesome. Was that? Was that terrifying? Were you really confident? Was it a little bit of everything?

Unknown Speaker 4:07
Interesting question. I have a super confident I was like I’m gonna blow this off right? Coming off this carrier right? I kind of grew from an intern at a company to be leading nearly like $250 million worth of portfolio I thought this is easy. And then I jumped into this and four months down the line I’m like not sleeping verified. Like I should I just applying the job back you know, just you know, bite the bullet and go back and say Hey, guys, I want the job back.

Unknown Speaker 4:40
Yeah, so I would say like it is it is quite exciting, right and i i read a book

Unknown Speaker 4:47
called The entrepreneur roller coaster. Right? So you’re gonna see exactly how he described it’s a roller coaster and he grande Yes. Climate hadn’t. It all kicks in

Unknown Speaker 5:00
and all of those distant turns the downs come in. And yeah, it is, I would say it’s both exciting and terrifying. And that’s why it’s a terrific experience for everyone to experience once in their life, I would say, Yeah, I appreciate that. And talk about machine learning, you sort of experiencing the same sort of effect.

Unknown Speaker 5:23
So, yes, any machine learning is kind of pretty predictable, to an extent. But this emotion is not predictable. I don’t think machines can ever experience the emotion that I experienced George. So they will take some time to learn that emotion, which is like leaving your entire courier effect your paycheck. And wondering if you’d be able to really bring home the money to serve the family. That is something I don’t think missions can ever experience, that that’s the only human feeling and as entrepreneurs own, I would say, Yeah, and if you like machines, then you hope they never have to go through that. Exactly, exactly. I see. All right. So

Unknown Speaker 6:11
you, you go through this, you make the decision, you launch Cuba now, how long has it been? It’s about five years, it’s like, in June of this year, we’ll hit five years. So it’s four and a half years? I would say. That’s awesome. And how do you describe where you’re at as a company now? Oh, yeah. So we started off like two three people at Elevate coffee, and they not here, Happy Valley area, right. So we actually conquered that couch at the back.

Unknown Speaker 6:44
Elevate coffee. So from there to about 95 team members around the world. And one of the, you know, renowned brands in the space in the RPA space and partners to some really big companies, and working with very large brands. And all a couple of brands actually endorsed me publicly. So I’d actually use their names like Western Union,

Unknown Speaker 7:13
IPG in

Unknown Speaker 7:15
entity, polymer group, that’s a company that makes the prime tape that goes on your wonderful Amazon boxes. So they are our customers visiting our customers deeply composites based in Scottsdale, they make windmills, a clean energy company, they are customers. So yeah, so there is a wonderful list of customers that we have. So from that point to where we are, and being trusted by these companies to run their global accounts bill, global translation services,

Unknown Speaker 7:45
take money for bank statements. So very critical accounting functions. So that’s that I would say, That’s growth, and that it’s a success from operating in a coffee shop to very or to a judge. Yeah, that’s awesome. Congratulations on that. That’s super exciting. So you talked about, I think that I sort of conceptually understand what it is you’re doing, you’re identifying functions that a person is doing, that I’m manually bridging the gap between one human being in a computer, it’s like, okay, that’s that, that’s, that’s great that George is doing that, but I bet those way that we can automate, and take some of that off of his plate so that he can be more empathetic and actually be engaging with the customer, is that that’s sort of correct. That’s correct. That’s perfectly correct. And also, like, help him maybe, you know, catch a nap or gonna get a get a coffee and not worry about it losing the speed or, you know, making errors, and all that kind of stuff as well. So it also assists George in doing jobs, his job better, as well as faster. And for health companies. This is a huge thing that they’re taking off this manual effort putting this into a predictable machine.

Unknown Speaker 9:09
Is there is do you get, for lack of a better term pushback, people are thinking, well, you’re going to automate away all these jobs?

Unknown Speaker 9:20
Absolutely, absolutely. I think that’s a fear that all of us most of us will have, right? Then the kind of technology that it is. It’s so powerful at Community human actions. Even I was always hesitant when I’m talking to the actual operators of the job when I interview them to understand what they are doing. But I had a very humbling experience. I once visited a factory, a company that manufacturers doors and windows down in Klamath Falls, so I went to their factory. And at the back of the factory, I didn’t realize the meaning of back office.

Unknown Speaker 10:00
At the back of the art, the factory, therefore has this office aware, as wonderful lady that was actually processing payroll for this company. And my job was to actually automate a lot of things that she’s doing. And it was a little bit worried, like, you know, it’s the middle of

Unknown Speaker 10:19
literally, no.

Unknown Speaker 10:24
Where is one of the biggest companies in are located there? And if I had to kind of really, if something, say if I automated it, and if she loses a job, what happens? Right, I’m actually going to affect your family. And then she comes after like, a few discussions during lunches. Like, I feel like you’re so hesitant to ask me questions, please take away this job. For me, I’m bored. I’m doing this for the last 12 years. And every waking day, my worry is, oh, what if I feel very fall sick?

Unknown Speaker 10:56
You know, I’m going to just do this for the entirety of my life. I know so many things, how to actually help the soup of the Forman, and how to make these guys work better. I have so many ideas, I can be a leader, I could be a manager. And I think this job is preventing me because they don’t want me let me go there keep increasing my salary. And that’s why I’m stuck here. This is going to help me get better and get into promotion knowledge. So I’m like, wow, that was a eye opening moment. And that at that moment defined the fact that it is not a job re replacer it’s actually a job enhancer for humans.

Unknown Speaker 11:39
I think that that’s a perfect a perfect story microcosm that certainly we need to give humans more credit, and that we have so much more potential than just doing menial tasks. And this would in fact, empower them to to spread their wings and be able to take on new challenge. So I appreciate that.

Unknown Speaker 12:01
Fascinated by the you talked about natural language processing and linguistics, I do a lot of writing. And I’m I’m while I might be a good writer, I don’t think I follow the rules of the English language very well, in that when when my wife edits my work, she’s like you’re doing this backwards way. So how do how do computers handle that?

Unknown Speaker 12:25
Yeah, I think it’s very interesting. I kind of completely sympathize. And short, you know, like, I’m not even a native English speaker. But I think I had decent education. But my daughter gives me always see when it comes, right. It’s

Unknown Speaker 12:44
so I can really relate to what you’re saying there. But if you think about it, because it’s a lot of rules, it’s grammar. So language, it’s highly a machine, and a machine understandable or machine can really decipher it. So most of us use grammerly all the time, right? So and then we use like paper Raiders, to get a really look at the quality of language usage of certain objectives and complex words or simple words, our quantity. So I think the constructs and the rules are, you know, better for machines, because they will follow it for everyone, they will not discriminate, who is actually saying that, Oh, I’m a first language. You know, you’re speaking English as a first language or a second or third language doesn’t matter, you’re a high schooler or kindergarten and doesn’t matter. So the machine would actually give you a better one. So I think because of that, it can, it’s a much better way to use it, it can understand stuff. The other thing is, it cannot understand colloquialism or it can’t understand context. So that’s where the human comes in saying that, actually, they’re saying, while it is saying something, it doesn’t mean that right, because English is a very complex language, MSA, although it’s used everywhere and you know, like, English is what helped me get here to an extent. But it is not the easiest language. It’s grammar is not always said it’s the even the like, read, I can be read. So it’s like no, it’s not No, it’s not.

Unknown Speaker 14:28
So it is a very tough language to understand and to say and all that stuff. But so

Unknown Speaker 14:34
you know, that’s where the human comments to give the context.

Unknown Speaker 14:39
With that makes a lot of sense.

Unknown Speaker 14:42
Do you think that the will technology advanced to the point where a computer will be able to use regional language and even potentially accents?

Unknown Speaker 14:55
I think so. So if you think about it today, like all these voice assistants,

Unknown Speaker 15:00
Whether it says Siri or Google, Microsoft,

Unknown Speaker 15:04
now they all have started to have in a different accents. And, you know, it’s able to understand, like, you know, these devices are used to go over. And they understand what the other person is saying, take the commands and do stuff. So I think it’s there. I just find

Unknown Speaker 15:23
interesting, fascinating, Brave New World. She’s

Unknown Speaker 15:30
of age, so people are ready for your difference making tip, what do you have for them? Oh, I would say like,

Unknown Speaker 15:36
just get up and do it. I think it’s very important for all of us, I learned it. And I kind of keep learning it relearning this every time. So when I was a student, you know, and I Okay, you know, that had like, some decent talent that I could actually bring my scores for some time. But then I figured that the winning will not help me at certain points, because let me down and critical exams. And then I’m like, Oh, what do I do? Okay, get up and just start studying, put the work into it. And the same thing happened at work as well as I do my career. I’ve seen certain times in my career, we all slack, give us a couple of years. Y’all get complacent, and we slack and you just have to get up and do it. And it’s it’s not I think it’s this tip is something that I see all around me, America, I have never seen more hard working people than here who take work so seriously, just you know, make sure that they

Unknown Speaker 16:41
you know, they’re successful and doing hustling around. So much hassle happens here that like no joke. It’s called the land of opportunity, because it’s not a pastor’s. So I think that’s, that’s when I would have to remind that that’s, that’s something that’s what took us here. And that’s what will take us further on. So let’s get up and get put the work in. I would say that’s all I would say. Well, I think that that is great stuff that definitely gets to come up. It’s gotta get up and do it. Exactly. take that leap. Get on that roller coaster and love it.

Unknown Speaker 17:15
Exactly, exactly. Yes, I think you know, it will have its own. You know, obviously, the roller coaster is terrifying, like I said before, but I think at the end of it, the thrill, the excitement, the experience. And also, you’d also be a little more carefully concluding the way we be thinking some calculated risks, and put the effort into it. And I think the reward will show.

Unknown Speaker 17:40
Well said, Mahesh, thank you so much for coming on. Where can people learn more about you? And how can organizations engage with kubatko?

Unknown Speaker 17:49
Thank you. Thank you, George. It’s a pleasure to be on this show. And I wish everyone and ascared is not going to do let’s see a turn around here. Thank you. I love it. How do companies get involved with with y’all? Yeah, so they could go to our website kubatko.com. Our wonderful Chief Marketing Officer Dominic Bertola, fantastic job there. And you can learn about my co founders Prabhu and fijo Matthew on those website as well and any of us will get back into again back to them. They actually set up a meeting, they could actually set up a meeting with us directly from our website, and they could come on to my LinkedIn, Mahesh Minaya comm. I’m sure you’ll find a guy with a smiling time. Perfect. Have you enjoyed this as much as I did show, Mahesh, your appreciation and share today’s show with a friend who also appreciates good ideas go to que botica calm to qbot i ca.com. And check out other great resources and find out if there’s opportunities for you to streamline your operations. Thanks, Kim.

Unknown Speaker 18:58
Thank you, thank you, Judge. And until next time, keep fighting the good fight. We’re all in this together.

Transcribed by https://otter.ai

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