AI in Fintech: Transforming Credit Risk Models for India’s Growth

Artificial Intelligence (AI) is reshaping the future of fintech, particularly in credit risk assessment. In India, where MSMEs contribute nearly 30% to GDP but struggle with credit access, AI-driven models offer a game-changing solution. Traditional underwriting processes, which rely heavily on historical financial statements and collateral, often fail to capture the real-time financial health of a business. AI is bridging this gap, enabling smarter, data-driven lending decisions that fuel financial inclusion.

Why Traditional Credit Models Fall Short

India’s lending ecosystem has historically depended on rigid credit scores, income proof, and banking history—parameters that exclude a vast segment of businesses and individuals. Many promising entrepreneurs remain credit-invisible, unable to access capital for growth. In contrast, AI-powered risk models analyze alternative data such as cash flow trends, transaction history, GST filings, and even digital footprints to paint a more holistic picture of a borrower’s creditworthiness. This shift ensures that deserving businesses receive fair access to funding.

AI: A Catalyst for Inclusive Lending

Fintech platforms in India are already leveraging AI to refine their credit assessment frameworks. Advanced machine learning algorithms can process vast datasets in real-time, reducing biases and enhancing predictive accuracy. For example, AI-driven credit models can assess seasonality trends for small businesses, evaluate repayment behaviors, and detect fraud risks—leading to more informed lending decisions.

It’s time to integrate AI with cashflow-based financing to offer MSMEs growth capital without equity dilution or fixed EMIs. By analyzing business performance beyond traditional credit scores, we empower entrepreneurs to access the funds they need with speed and efficiency.

Balancing Innovation with Risk Mitigation

While AI-driven credit models present immense opportunities, they also come with regulatory and ethical challenges. The Reserve Bank of India (RBI) has cautioned against over-reliance on AI without robust risk frameworks, emphasizing data security, transparency, and accountability. Fintech firms must collaborate with regulators to establish clear AI governance policies that balance innovation with responsible lending.

The Future of AI in Indian Fintech

As AI adoption in lending matures, the key to success lies in leveraging technology responsibly to democratize credit access. With India’s booming digital economy, AI-driven financial solutions will continue to unlock new opportunities for MSMEs, bridging the credit gap and driving economic resilience. By embracing AI, fintechs can redefine lending, making it more inclusive, efficient, and growth-focused.

The AI revolution in credit risk assessment is not just about better decision-making—it’s about enabling India’s entrepreneurial ecosystem to thrive.

Bhavik Vasa
Bhavik Vasa
Founder
GetVantage / GetGrowth Capital
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Disclaimer: The views expressed in this feature article are of the author. This is not meant to be an advisory to purchase or invest in products, services or solutions of a particular type or, those promoted and sold by a particular company, their legal subsidiary in India or their channel partners. No warranty or any other liability is either expressed or implied.
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