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Fintech Fridays EP35: Autonomous Alternative Lending with Vit Arnautov of Turnkey Lender

NCFA Canada | Aug 9, 2019

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FF EP35 Vit Arnautov Turnkey Lender - FINTECH FRIDAYS Podcast: Season 2

Aug 9: Autonomous Alternative Lending with Vit Arnautov of Turnkey Lender EP35

HOST: Manseeb Khan, Fintech Friday's show host

GUEST: VIT ARNAUTOV, Chief Product Officer of Turnkey Lender, (Linkedin)

BIO: Vit is a skilled business executive with more than 10 years of experience in managing and delivering innovative fintech solutions. Since its foundation, Vit has been a part of the TurnKey Lender, a company creating intelligent AI-driven solutions for alternative lenders. Over the years he’s become its Chief Product Officer which gives him an incredibly deep insight into fintech in general and lending industry in particular. His areas of expertise include FinTech, digital lending, AI, and big data. Vit is happy to share his expertise with striving entrepreneurs and anyone else it can be helpful for.

About this episode: On this episode of NCFA's Fintech Fridays Podcast, our host Manseeb Khan sits down with Vit Arnautov from Turnkey Lender. They chat about how AI will help the lending space, underbanked countries and why cloud lending is a trillion dollar industry. Enjoy!

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Transcription of Interview

Intro: Welcome fintech Friday's a weekly podcast brought to you by the National Crowdfunding and Fintech Association of Canada and partners.Covering all things fintech block chain be AI and alternative finance.

Manseeb Khan : Hi, everybody Manseeb Khan here and thank you for tuning in to another fantastical episode of the FinTech Friday podcast. This week I'm super excited to have Vit from Turkey lender. Vit Thank you so much for sitting down with me today.

Vit Arnautov: Hello. Happy to be here. Thanks for having me.

Manseeb Khan : Yeah, for sure. So, could you. For the I guess five or six audience members may not know who you are and what your company does. Could you just give us a rundown of a little bit of your background and what turnkey lender is?

Vit Arnautov: Okay, sure. So, I am a chief product officer, at Turnkey Lender. I mean, this business for about 10 years now, I've been in this company since the very beginning. So, this gives me a good understanding of all the processes in fintech and digital lending. Turnkey lender is the provider of intelligent lending automation. We were the first company to offer great software for the businesses of any kind. And we're focusing on digitalization processes automation and a loan decision making. But we're pretty much covering all the long lifecycle from the origination of the collection and through, of course, the decision. So, we have a line of products. The books version that can be delivered within a day. And with all the required functionalities to start lending and the enterprise solution for more sophisticated clients, this is a tool that allows you to build business processes, solve any complexity without coding. So, you can put it as a kind of Lego construct, a way you can build and automate your processes with blocks. We're Singapore based company we have offices in the U.S., in Ukraine, Indonesia, Malaysia.

Manseeb Khan : That's incredible. I like the Lego analogy you use. I think that's going to make it a lot easier for the audience members , especially to really understand the really amazing work that you guys are doing. So, could you just talk a little bit more of the approval process, right, and how kind of differs from the other alternative lenders?

Vit Arnautov: Yes, sure. So, the decision making, and approval process is still the biggest challenge for the lenders. We understand that this is also the main brisk source in their business. So, we provide several layers of the decision-making process using both traditional and alternative approaches. So, it goes like this first you have the fraud prevention to where you analyze information from internal and external sources like terrorists and other fraud lists. Then you have alternative scoring with more information from client’s house to fill in the application for how fast he's typing, how the application details. If there were copy paste that if there are too many replacements of attachments and understanding if this is a bot filling the application of these real plan. Now that we analyze also the mobile data, which is like mobile usage, number of contacts and so on, because for the entire statistics, about 80 percent of applications can come in from mobile platforms. Right? After that, we have the bank account statements, analysis, and after that goes the internal scorecard, which is the decision engine that we provide out of the box. It's powered by artificial intelligence. It learns about the borrowers and during the lifecycle of the loans. Right. And adjust in time by having more accurate and precise decisions later on. We don't have enough data to analyze. So, with more like advanced package, you can also have the champion challenge scorecards where, for example, if you want to have 10 or 15 percent of more riskier applicants and this is how you apply this on. And also, we provide, of course, the scoring reports for us or our class to analyze and track the performance and to fine tune in future the score.

Manseeb Khan : That's incredible, I'm glad that you have multiple like contingency plans when it comes time, actually like vetting and approving the process. Right. Like even under you, even though the process, I mean, as you know, has turned 200 does claim that it is. It is very fast. It is incredible that like even though it is fast, you still have multiple layers of channels you have to kind of go through.

Vit Arnautov: Yeah. Yeah. Absolutely. And this is like it has all those layers. And actually, can combine several of those. So, we also have like artificial intelligence with image forgery detector, for example, to analyze it attachments that are being in placed this is like an additional module that can be included. And all of this is combined all together. Or you can just use partially to use one block or use another one cause for different markets. It's different. And for different auditors, it's also different. Right. And so, you just can choose which of those you want to use.

Manseeb Khan : So, you do have the option to pick and choose the blocks that are appropriate for you and your business and your auditors. Could you talk about like the biggest technological challenges that alternative lenders face and how does Turnkey lenders solve them?

Vit Arnautov: Sure. So, from my point of view, the biggest ones are, first of all, of course, the regulations that we're having from our governments. There are literally a lot of them right now. And it's getting even worse because governments very strict in those regulations. And we, of course, understand that someone a good purpose. But so, we need to comply with that. And so, in case of Turnkey Lender, it's for example, we have signed an agreement with Thompson Reuters to streamline those military compliance for the clients in different countries because each country has their own compliance. And also, you want to buy a solution that is flexible enough to fit the regulations that are not there yet, but yet to come the fall of the governments. So, the second thing is you the need of one day fund transfer for the organizations and for borrowers. So, solution for that is in turnkey lender. That is fast decision making where you can provide a decision within seconds and you can transfer funds with some kind of automation of payment provider, comparing it to taking days or even weeks. In the past. So, this is a huge change right now. I say that is the growing competition among lenders due to a significant lowering of the entry barrier to the market. And this is also we provide the faster decision making which allows your business to grow faster and provide better decision and lowering risk, of course. And it's the intuitive user interface for the borrowers scores. Each of those question or another step in the application process and know your customer process. It lowers your sales funnel.

Manseeb Khan : Right that makes total sense. How do you see the role of A.I. in digital lending now and in the near future? Because you have mentioned a couple times, you know. How what differentiates you guys from other lenders? And what kind of makes you guys a little bit more pulling ahead is the fact that you guys actually use AI the most the fullest advantage currently to make sure your loaning process, your vetting process and security. And just to make sure the whole like you can optimize every single block to the fullest potential.

Vit Arnautov: Yes, absolutely. So, the first usage of the A.I. is obviously for chat bots that we can see this support that automates their first level and second level usually. And like using bots to kind of answer the questions faster. But what's the biggest application for me, as I see, is the risk evaluation and of course, the decision and process. So, the AI usage helps us to provide more accurate analysis in predicting the expected future behavior for a client and therefore to provide more precise decision making. So, the learning curve for the AI is exponential and in the nearest couple of years we are going to get a huge leap in this.

Manseeb Khan : Because you can totally mitigate a lot more risk. Right being able to map out certain behaviors of who you're lending out to, you get to know, you know, aside from who they are, from the financial statements and from the history and aside from all the documents that they already require having an additional layer of A.I. to learn their behavior patterns and to send it to kind of trend to see what they're going to do in the next five years. I believe that's very important for sure.

Vit Arnautov: Yes, absolutely. If I may add. So please, you've got the operational costs because you don't need to have like 20, 30 people in the office for decision making. You can automate it at all and provide the system within seconds. So, this also eliminates today human error and it helps you to cut costs. Right.

Manseeb Khan : Yeah, for sure. Absolutely. And like you can even start again adding more. And actually, this opens up the door to add more blocks in the future of having even more criteria as of getting approved for loans or what it or the case may be. You guys do something really interesting called Cloud lending. Could you explain a little bit more of what cloud lending is and why it's going to become a trillion-dollar year over year industry?

Vit Arnautov: Yeah, sure. So, cloud lending is really exploding and so we host all our solutions in the cloud, of course. And for each like if it’s a retailer or even a dentist wanted to stand their business and to go online. Or is it a fintech startups. A lot of new players coming into the market. And of course, they have our own challenges and many businesses struggle with the entry barrier. But with a bot platform that we provide, it can be deployed within a day. So, it's ready to use and compare it to the like millions of dollars that banks were investing in R&D to have the same functionality in the past. So, the way we see it is launching now a web platform. A cloud platform for lending is as easy as a WordPress site, which was a really heavy 10 years ago. And now it's a matter of hours. And so, we're even hosting it for you. So, you don't need to pay for hosting separately on your domain name. So, we have a goal in one place. You just buy a subscription and you go with your lending platform.

Manseeb Khan : That's incredible. That makes it a lot more easier to use. I like the WordPress analogy. How do you how do you see technology changing in the lending space in the next five years?

Vit Arnautov: Yeah. First of all, the one that we just discussed, the way AI use each, of course. Now, the second thing I would mention is the whole lifecycle of the loan automation. And it's not only the A.I. usage, but all these flaws that are being now automated with lending solutions. So, it's also eliminating the human error and speeding up the process. It's all about processes. Automation is all things like servicing and collection, reporting, underwriting, and even notifications are all automated now. And you don't need once again 20 people to manage the software and be one engineer who's sitting in the office and fine tuning the software. And it works just as it is. No additional features required. Everything's in place already. Now, the one more thing worth mentioning is an expansion to under banked or unbanked regions and new demographics. Cause as far as I remember, it is two and a half billion people who cannot get access to banks right now in the world. Right. So, it's half of the entire population of the planet. And in really developed countries, the customer acquisition cost is already high. And it continues to grow. This why is many financial institutions having branches of them of their software to go with under banked regions and demographics. This is what's going to change in the near years, of course, because, for example, we're providing an international version of our solution that also you can just choose the country you're operating with and change it automatically change the unique identifier system, for example, and the date format, the currency, the language and stage, and it's ready to go and you can work with it. So, in an example within Asia, they have a lot of rural banks and fintech’s trying to reach out offline lenders outside of the big cities and provide loans to them. So, we can see that interest industry is growing faster.

Manseeb Khan : Yeah. I mean, you did bring up a good point of the fact that there are two billion people that are getting under serviced. And I think the future of that is very bright. I think there's a ton of opportunity there for helping, you know, very under underdeveloped countries. And just like infrastructure in and of itself and being able to service these kinds of people and help them develop, help them, you know, like foster new growing economies. That in and of itself is very exciting because like so many like so many new innovations and just ideas and just like so amazing things are to come out of that. And that to me is. That's can be very, very exciting.

Vit Arnautov: Yes, absolutely. I totally agree with you. And hopefully Elon Musk will cover the earth with the Internet connection very soon and all those people will be able to reach the Internet with loans to be able to grow their businesses. Because right now they just cannot access their banks, right? Yeah. Yeah. In the next few years, they will be able to get loans or their business and start to get in profit.

Manseeb Khan : Right? For sure. And this and this now start to become like an actual player. Right. In whatever space they may be in. Right. That's very, very exciting.

Vit Arnautov: Yeah, absolutely right. Yeah.

Manseeb Khan : So, I guess, how does alternative lending impact industries, I guess, such as telecom and like medicine then?

Vit Arnautov: Ok, let's start with medicine first, right? Cause medical is they say that 21st century is going to be a century of medicine and biotech and the industry's going to be bigger every year. I believe that in 10 or 15 years you will be able to replace your arm with a bionic we are if you want. But the costs for these such kind of surgeries are really high. And so that's where the lending comes in. And you have to get sometimes the service is very fast and you get money and not get a loan from this organization. And so, the second one is telecom and the previous logic goes there. When a user doesn't have money on their balance, they should be instantly offered with the with a credit line to continue communicating so they could repay it later on. And the second use case for telecoms is that they should be able to get a new tablet or new phone right from the office of the telecom. So, they are starting to finance their retails. And you don't have to go to bank anymore. You can get it right in place. So that's why I think it's going to be big in next couple of years.

Manseeb Khan : Mm hmm. The medicine that I never thought of it in the medicine field of like, hey, you know, you want a new bionic arm. Awesome well there is costs for that. I was like, oh, that now. I mean, it's a lot more sense, especially now with the new I guess now like we have robotics and medicine and like, you know, we can actually like sooner or later we able to replace any single body part we can.

Vit Arnautov: Absolutely agree with you Looking forward into this into that future.

Manseeb Khan : Yeah. One hundred percent. So, my I can't wait for that too. Um, are there any other spaces that turnkey lender or are looking into?

Vit Arnautov: Yes, sure. So, we think that retail will be big also. For example, the in-house retail, if you're producing anything you can just provide also services like lending services for that and you will be able to get to competitors with that. You just provide an installment program. Increase in your sales. And then it's very simple, but it's very effective because the sales rises.

Manseeb Khan : Yeah, for sure. because now you have one advantage compared to competitors of, hey, you know what? Sure. We sell. I don't know. Artisanal couches, whatever, whatever, whatever. I don't know whatever you might be selling if you know how to feel, if you do have the full amount. That's OK. We actually offer financing terms, and these are the actual financing terms. So, yeah, no, I agree.

Vit Arnautov: And the business gets their interest and the customer gets the reality. And then there are more clients and there is no downside in this in this approach for sure.

Manseeb Khan : Absolutely. So aside from, I guess, a telecom retail. Are there any other industries that you think alternative lending is going to impact next? And why?

Vit Arnautov: Actually, I think lending will be huge in years future That's to what you mentioned. Like 1 trillion dollars. And it can be anything. It can be e-commerce. It can be a medicine, retail, anything. It can be just installment loans, consumer loans, just anything. And the under banked regions, so that you are discussing. Right. So how about what the population will be getting loans?

Manseeb Khan : So, a little insight into the trends of the lending industry. I mean, such as P2P lending and house financing, which we talked about, debt financing, you know, factoring, invoicing. Could you discuss the areas a little bit more in detail and how do you see them developing more in recent years?

Vit Arnautov: Yeah, sure. So once again, the other bank regions, for example, are not just crowd lending and like crowd funding, it can be peer to peer for businesses in Africa, for example. They want to extend their business. They, for example, produce some great goods, but they don't have this capital to yet grow in. So, with the peer to peer, they can access funds from UK and US for from developed countries. Right. And they're just getting those money to expand their business. And this is very efficient loans with low risks, actually, because they have collateral on their businesses. I'm pretty sure that they will be able to give it back the loan within like short terms for business. It's two years, three years. And this is very effective. And for those lenders, for those businesses in Africa, that they just cannot get funding without it. So, this is the only source and the fastest source of funds that they can access. So, the effort to bear is great also.

Manseeb Khan : Right. And this kind of goes in the conversation of like open banking right now. You're going to have let's stick with the Africa example. Right. I'll let you have a business in Africa. They need money to actually start the business up or pay off whatever they need to pay off. And, you know, they could they can actually start getting more competitive rates. You know, hey, let's look at the banks and UK and let's look at the banks and like Germany or like the bank or the banks like Sri Lanka. Let's see. Look what all the rates are. What do we get? And it's kind of creating a more of a of a really creative, not creative, creative, and competitive marketplace for businesses to kind of have a lot more options and not be as and not have such a high bar of entry.

Vit Arnautov: Yeah, Exactly. And also, worth mentioning that for developed countries, the percentage for loans will get 3 percent. Right. And for Africa, the usual percentage might be like 12 percent or 14 percent. And it's OK for them because they just don't have access to money. So, for developed countries, they have the high interest for not developed or developing countries. It's to get money faster. So, the economy of the world is growing because of that, because money is distribution from one region to another. And are like the money is in the place in Africa producing goods and selling goods. So, the economy rises all over the world because of it.

Manseeb Khan : Right. No, absolutely not. You know, it's really helping fuel the flame of having of more of a globalized economy. Right. Exactly. Yeah. So Vit is there. Before we wrap up, is there anything else you want to add on? I guess a couple of things that you definitely want to keep. You want to make sure the audience kind of keeps in mind.

Vit Arnautov: If you're starting a business, just consider having a platform that is really user friendly and to its flexible enough to fit your business needs and flexible enough to fit your future business needs. So, there are platforms right now that allow you to start business with one day and start operations. So, yeah, it's good. It's great. It's like good for your business.

Manseeb Khan : Awesome. Yeah. So, make sure you make sure everyone or all the entrepreneurs that we have in the audience, make sure that you stay flexible as much as you can. So. Exactly. Yeah, that's awesome. So Vit Thank you so much for sitting down with me today.

Vit Arnautov: Thank you very much for having me Manseeb. Once again. Yeah.

Manseeb Khan : For sure. So, I guess we'll I guess we'll be the best way for audience members to either reach out to you personally and or to Turnkey Lender or if they have any more questions about anything.

Vit Arnautov: Absolutely. You have my contacts. If anything, you can contact me directly or with from our site on Turnkey Lender dot com where we'll be happy to help you. And we'll be happy to answer all of your questions.

Manseeb Khan : Ok. Awesome. Thank you very much. Yeah, for sure.

Outro : you've been listening to fintech Fridays brought to you by NCFA and partners. Tune in weekly for the latest fintech Friday podcast by subscribing to this channel. The National crowdfunding and FinTech Association of Canada is a non-profit actively engaged with social and investment fintech sectors around the globe and provide education research industry stewardship services and networking opportunities to thousands of members and subscribers. For more information please visit and see if a Canada dot org. Oh yea.

 

End of Podcast

 

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Sep 14, 2026 Industrial machinery is essential in the manufacturing, construction, processing, agriculture, energy production, and other industries. Unexpected machine failures can have more than repair costs. Production can be halted, deadlines can be missed, workers can face safety hazards, and businesses can suffer financial losses. By knowing the common causes of machinery failure, operators and maintenance staff can identify problems early and take preventive action. Industrial machinery failure can have many causes. Why Industrial Machinery Fails By determining the root cause, businesses can avoid the same issue, minimize downtime, and extend the useful life of valuable industrial equipment. Here are 10 of the most common reasons for industrial machinery failure. Poor maintenance One of the biggest causes of equipment failure is poor maintenance. A machine has many moving parts and interdependent components that must be inspected, cleaned, adjusted, and serviced regularly. Small issues can turn into big ones if they aren't addressed during routine maintenance. A preventive maintenance schedule can help to detect worn components and other issues before they lead to unexpected failures. Inadequate lubrication Moving parts need proper lubrication to minimize friction and heat. Insufficient lubrication, improper lubricants, or not lubricating parts as recommended can cause faster ...
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Sep 5, 2026 | Last Updated Sep 14, 2026 | NCFA Fintech Whisperer | Payments Infrastructure And Money Movement, Digital Assets Blockchain And Tokenization, Digital Identity And Trust, Cybersecurity Fraud And Financial Crime, Digital Banking And BaaS, Capital Markets Infrastructure And Funding, Artificial Intelligence And Data, Cross Border Payments And FX, Wealthtech Investing And Trading, Embedded Finance, Insurance And Insurtech, Lending Consumer Credit And BNPL, Open Banking Open Finance And Data Sharing, Risk Compliance And Regtech, Treasury Liquidity And Cash Management, Regulation And Policy, Data Privacy And Governance This live weekly NCFA intelligence page tracks financial technology developments that significantly affect how fintechs build, sell, raise capital, and operate under scrutiny. Coverage prioritizes Canada and includes global events that directly influence competitive conditions, market access, and execution realities across fintech sectors.  This page will be updated throughout the week with market movers in a live format and then each week we'll close the prior week's contents in prep for the upcoming week, and continue on a rolling basis.  (Missed prior week's Fintech Whisperer?  (December 6-12, 2025, December 13-19, 2025, January 1-9, 2026, January 10-16, 2026, January 17-23, 2026, January 24-30, 2026, January 31-February 6, 2026, February 7-13, 2026, February 14-20, 2026, ...
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September 11, 2026 | NCFA Regulatory Insight | Artificial Intelligence And Data, Regulation And Policy, Risk Compliance And Regtech AI Literacy, Transparency and Agent Governance On September 9, 2026, the Government of Canada launched a National AI Literacy Initiative with the Alberta Machine Intelligence Institute. The $13 million partnership is expected to reach up to 1 million post secondary students and more than 50,000 K to 12 educators, alongside free learning for workers and other Canadians. The program sits under Canada's AI for All strategy and focuses on helping people understand AI, use it responsibly and recognize risks such as bias, misinformation and privacy loss. Ottawa is working on the governance side at the same time. Its AI transparency consultation remains open until September 23 and asks whether Canada needs stronger ways to identify AI generated content, tell people when they are interacting with AI, explain system capabilities, track serious incidents and record what AI agents actually do. The consultation paper says 19.2% of Canadian companies used AI to produce goods or deliver services in the second quarter of 2026, up from 12.2% a year earlier and three times the 2024 level. The federal government has already been working through ...
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