CloudBankin’s AI Underwriting Agent redefines digital credit evaluation.
In today’s fast-paced digital lending landscape, the limitations of traditional underwriting are becoming increasingly clear. Manual processes simply can’t keep up with the speed, complexity, and ever-growing compliance demands of modern credit evaluation.
Introducing the AI Credit Underwriting Agent – an intelligent, data-driven, and transparent system poised to revolutionize how lenders like you assess creditworthiness. Whether you operate a bank, NBFC, fintech firm, or credit union, this AI-powered solution unlocks the potential for faster approvals, more accurate risk assessment, and broader financial inclusion, all while ensuring you remain compliant with regulatory obligations.
Outdated credit assessment methods are holding you back:
The consequences are real: missed revenue targets, higher default rates, and an inability to tap into underserved and emerging borrower segments. Today’s borrowers expect instant responses, especially in the online and mobile realm. If you can’t deliver that speed and efficiency, you risk losing them to more agile competitors.
Our AI Credit Underwriting Agent is a cutting-edge digital system that leverages the power of machine learning to evaluate credit risk with speed, fairness, and exceptional precision. It fully automates the underwriting journey by intelligently analyzing both conventional financial data and a diverse range of alternative sources, including real-time banking transactions, mobile usage patterns, and business cash flow insights.
This isn’t just about speed; it’s about a smarter, more insightful approach to underwriting, specifically designed for today’s dynamic lending environment and digitally savvy customers.
Our AI Credit Underwriting Agent transforms raw data into actionable credit insights through a seamless four-step process:
These features combine to create a powerful digital underwriting system that is fast, fair, and remarkably flexible.
Responsible AI is at our core. We ensure our powerful underwriting solution is also inherently fair and secure.
In a crowded market of automated underwriting solutions, our agent stands out for its:
This isn’t just about automating tasks; it’s about fundamentally redefining the future of credit.
Empower your team with a smarter, faster, and fairer way to underwrite. Discover how the AI Credit Underwriting Agent can deliver tangible results for your institution from day one.
An interesting insight on vehicle loans for lenders.
A trend we are seeing today – the first-hand vehicle ownership is decreasing with time. Why? People are upgrading their vehicles in every few years because of technological advances. And, this can be seen more with the millennial generation.
So, what should a lender do in terms of financing?
– Estimating the residual value of the vehicle at the start of the financing period.
– Charging a borrower only for the residual value (which is the difference between the value after a few years and the current value)
Example: A bike currently is INR 1 lakh. You want to buy the vehicle for 2 years. A lender will estimate the residual value of that bike today and what it would be after 2 years. If the estimated residual value = INR 45,000, the lender will charge you only that (say, INR 55,000 with interest for this instance) during your tenure.
At the end of 2-year period, you have 3 choices:
1. Return the bike and upgrade to a new one without going through the struggle of selling it.
2. Pay the lump sum remaining amount to own the vehicle outright.
3. Extend the financing and own it by keep paying the EMIs for the remaining amount of the vehicle for the next 12 or 18 months.
Benefits for the borrowers?
– Flexibility to use a vehicle and upgrade to a new one.
– Affordability to not pay for the complete value of the vehicle with the intention to use for a lesser amount of time.
– Convenience in owning the vehicle.
Say goodbye to the old lending option and embrace the new way of financing for vehicle by lenders!
How many of us know this?
1) Tiktok does Lending ( is it an entertainment company or social media company or a fintech company?
2) Youtube China does Lending
3) Top 100 internet companies in China(no matter what business they are in) do Lending
The team which was heading Lending in Tiktok was the Advertisement team. If we do Ads, we do X no of revenue. But if we do lending, we’ll get X+30% more revenue. This is on the same Ad spot.
Ad team has transformed into a lending team, and in today’s world, it’s possible because the subject matter expertise can be put in as an API and given to you.
Embedded Lending as a service is becoming popular in India too, and I am happy to be part of this ecosystem.
The answer is No. Only the top 10 crore people have access to many credit products in India. Almost all Banks focus on this market.
Once you go beyond that, the credit access rate has dropped significantly due to multiple factors.
1) Customers who are having low income(30-40K per month)
2) Not earning from an employer who belongs to Category A or B
3) Not from Tier 1 or 2 cities
NBFCs and Fintechs focus on the above segment, pushing another 10 crores of people.
But in India, 70 crores more people are formally or informally employed, which still needs to be tapped.
After smartphone penetration, people are not watching their SMS at all. They use SMS only for OTP related transactions. That’s it.
But What can a Lender see in your SMS after you consent to them?
Lender can see income, expenses, and any other Fixed Obligation like (EMIs/Credit Card).
1) Income – Parameters like Average Salary Credited, Stable Monthly inflows like Rent
2) Expenses – Average monthly debit card transactions, UPI Transactions, Monthly ATM Withdrawal Amount etc
3) Fixed Obligations – Loan payments have been made for the past few months, Credit card transactions.
It also tells the Lender the adverse incidents like
1) Missed Loan payments
2) Cheque bounces
3) Missed Bill Payments like EB, LPG gas bills.
4) POS transaction declines due to insufficient funds.
A massive chunk of data is available in our SMS (more than 700 data points), which helps Lender to make a credit decision.
#lendtech #fintech #manispeaksmoney