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Your Loan is Live, Now What? SURE Co-Founder Vikas Tarachandani on the Future of Liability Management
India's fintech boom has made credit faster, cheaper, and more accessible than ever before. But once the loan is disbursed, most borrowers are largely on their own, handling rate resets, spread changes, and refinancing decisions with little visibility or support. Vikas Tarachandani, Co-founder of SURE, believes that is where the real opportunity lies.
In this exclusive interview with Analytics Insight, he talks about building India's first dedicated liability management platform, the role of AI in post-disbursal decision-making, and why managing debt deserves the same attention as growing wealth. Here are the excerpts from the interview:
India’s home loan market has expanded significantly over the past decade. What structural gaps or inefficiencies did you observe that led to the creation of SURE?
India’s home loan market has grown significantly, with outstanding individual housing loans reaching ₹42 lakh crore as of November 2025, but the borrower journey remains largely front-ended. Once the loan is disbursed, most customers have little visibility into whether they are overpaying, whether their rate is still market-relevant, or when they should act. The market is also split among PSBs, private banks, and HFCs, which creates uneven service standards and very limited transparency post-disbursal. That structural opacity surrounding India’s largest household liability led us to build SURE.
We observed that while consumers actively track their investments through wealth-tech platforms, liabilities, often their largest financial commitment, remain unmanaged for decades. Small inefficiencies in interest rates, spreads, or tenure structures can translate into significant financial losses over a 15–25-year loan tenure.
SURE was created to address this issue by providing visual insights into loan management, benchmarking each loan against the market or similar loans, and assisting borrowers in finding ways to optimize their loans and lower the long-term cost of borrowing. We have started with Home Loans, but the idea is to cover the entire liability portfolio for an individual.
2. The conversation in fintech has largely revolved around credit access and faster disbursement. Why do you believe liability management, especially in home loans, deserves equal attention today?
The first wave in fintech was about access to credit- making loans faster, easier, and more widely available. We believe the next wave is management of credit, especially in home loans, where the real customer outcome is shaped over 15–25 years after disbursal. That is especially true for urban working professionals in India’s top 10 cities- customers who are creditworthy, financially aware, but time-poor and therefore highly exposed to silent inefficiencies in large home loans. For this customer, the bigger problem today is not getting credit but ensuring that their largest liability remains efficient, fairly priced, and actively optimised over time.
Just as wealth management services help borrowers grow their assets, services that focus on liability awareness help borrowers optimize their debt service obligations. Therefore, managing one’s liabilities is just as important to building a long-term financial future as managing one’s investments.
3. How is AI being applied within your platform beyond traditional credit scoring? Specifically, how does it help borrowers evaluate interest resets, spreads, refinancing decisions, or long-term repayment strategies?
At SURE, we use AI not to underwrite the borrower but to work for the borrower after the loan is live. Our systems analyse loan data, lender benchmarks, reset behaviour, spread changes and repayment patterns to help users understand whether their current rate is fair, whether an interest reset has been passed on correctly and whether staying, negotiating or switching is the better decision.
We have built an AI-powered conversational engine that helps borrowers understand their loans in plain language and simulate long-term outcomes for changes in EMI, tenure reduction, prepayment, and refinancing, so they can see the real cost impact before acting. In that sense, our AI becomes the decision-support layer for liability optimization.
4. Based on your user data and analytics, what trends or behavioural patterns have you observed among home loan borrowers in India? Are borrowers becoming more financially aware and proactive?
From our user behaviour, the clear pattern is that awareness has improved faster than action. Borrowers today are more curious about rate benchmarking, lender fairness, and refinancing options than they were even a few years ago, especially in urban salaried segments. We also find that many borrowers assume their existing loan remains competitive simply because they have been with the same lender for years, even though market rates and spreads move much faster than customer perception.
What changes behaviour is clarity. Once borrowers are shown, in simple, concrete terms, how much excess interest they may be paying and what they could save through optimization, their intent to act rises meaningfully. Our broader learning is that when liability management is transparent, measurable, and easy to understand, borrowers become far more proactive in taking control of their debt. So the shift is real: awareness is rising, but action still needs the right data, context, and nudges.
5. As regulators increasingly emphasise transparency and responsible lending, how do you see technology platforms contributing to a more balanced lender–borrower relationship?
The use of technology-based platform solutions can greatly enhance transparency while decreasing information asymmetry between lenders and borrowers.
Regulation can set the rules for transparency, but technology is what makes that transparency actionable for the borrower. RBI has already moved in this direction through measures such as Key Fact Statements, disclosure of loan charges, contracted rate ranges, and clearer rules on floating-rate resets and borrower options. However, platforms like Sure can take that one step further by translating complex loan terms into simple, personalised insights: Is my reset fair? Am I overpaying? Should I negotiate or switch? In that sense, technology enables a healthier market dynamic: lenders remain accountable, borrowers become better informed and the relationship moves from one-sided dependence to informed engagement.
6. Looking ahead, what is your long-term vision for SURE? Do you see liability management becoming a mainstream layer within personal finance, and are there plans to expand beyond India over time?
Our long-term vision is to make SURE the default liability management layer within personal finance- the place consumers come to understand, optimize and stay in control of their borrowing over time. We believe this category will become mainstream because, as households take on larger and more complex liabilities, the cost of passive borrowing becomes too significant to ignore.
Over time, we want to expand from home loans into the broader liability stack and eventually into adjacent financial decisions where savings on liabilities can be channelled into stronger long-term financial outcomes. On the geography front, our current focus is firmly on India. Still, the structural problem of opaque, under-managed consumer debt is global, so international expansion is very much a possibility over the longer term.
