AI Could Unlock India's ₹25–30 Lakh Crore MSME Credit Gap. Here's How

India has built one of the world's most advanced digital financial ecosystems. Platforms such as UPI, Aadhaar and the Account Aggregator (AA) framework have transformed how people make payments, verify identity and securely share financial data.

Yet millions of India's micro, small and medium enterprises (MSMEs) continue to struggle to obtain formal credit. The problem is no longer the lack of digital infrastructure or financial data. Increasingly, experts believe the real bottleneck lies in the way lenders assess borrowers. AI-powered underwriting could become the missing piece that helps bridge India's estimated ₹25–30 lakh crore MSME credit gap.

India's Digital Revolution Hasn't Solved the Credit Problem

Over the past decade, India has created digital public infrastructure that is admired globally. Today:

• UPI processes billions of digital transactions every month.

• Aadhaar has enabled digital identity verification at an unprecedented scale.

• The Account Aggregator framework allows businesses to share verified financial information with lenders in seconds, subject to customer consent.

Despite these advancements, access to formal finance remains limited for many businesses. Of India's 87 million registered MSMEs, only about 36 million have ever received a formal business loan, leaving a massive financing gap that continues to restrict growth.

Why Traditional Lending Doesn't Work for Small Businesses

Most lending systems were designed for established businesses with extensive documentation. Banks typically evaluate borrowers using factors such as:

• Audited financial statements

• Existing credit history

• Collateral

• Income records

• Long operating history

However, millions of MSMEs operate differently.

Small manufacturers, neighbourhood retailers, home-based entrepreneurs and service providers often have healthy businesses but limited formal documentation. Many are first-time borrowers with little or no credit history, making them difficult to assess using conventional underwriting models.

How AI Changes Credit Assessment

Artificial intelligence offers an alternative approach. Instead of relying primarily on collateral or historical borrowing behaviour, AI systems can analyse real-time business activity, including:

• Bank account transactions

• GST filings

• UPI collections

• Cash-flow patterns

• Seasonal business trends

• Payment discipline

By combining these verified data sources, AI can build a more comprehensive picture of a business's financial health within minutes rather than days. This enables lenders to make quicker and potentially more accurate lending decisions, particularly for first-time borrowers.

Making Small Loans Economically Viable

One of the biggest obstacles in MSME lending is cost. Processing a small-ticket loan often requires almost the same operational effort as approving a much larger loan. Manual document verification, field visits and lengthy credit assessments make low-value loans expensive for lenders.

AI-driven underwriting can automate much of this process, reducing turnaround times and lowering operational costs. That improves the economics of lending to small businesses while expanding financial inclusion.

AI Is a Tool, Not a Replacement for Credit Officers

While AI can process large volumes of financial data quickly, experts caution that it should complement—not replace—human judgement. Algorithms are effective at:

• Detecting patterns

• Identifying fraud

• Maintaining consistency

• Analysing transaction behaviour

Human credit officers, however, remain essential for understanding local business conditions, evaluating exceptional cases and making balanced lending decisions where data alone may not tell the full story. A combination of AI and experienced bankers is widely seen as the most effective model.

Responsible AI Will Be Critical

Greater automation also brings new responsibilities. Financial institutions must ensure AI-driven decisions are Transparent, Explainable, Fair, Free from undue bias and Compliant with regulations.

Borrowers should be able to understand why a loan application has been approved or rejected. Maintaining accountability will be essential as AI becomes more deeply integrated into lending operations.

What This Means for India's MSME Sector

Improving access to formal credit could have a significant impact on India's economy. Better financing would help MSMEs:

• Expand production

• Invest in technology

• Create employment

• Improve productivity

• Increase exports

• Participate more actively in formal financial systems

As MSMEs account for a substantial share of India's economic activity and employment, improving credit access could support broader economic growth.

The Bottom Line

India's MSME financing challenge is no longer just about the availability of capital—it is about identifying creditworthy businesses that traditional lending models often overlook.

AI-led underwriting could help bridge this gap by analysing real-world business activity instead of relying solely on conventional credit metrics. If implemented responsibly, it has the potential to expand access to finance for millions of entrepreneurs, strengthen the MSME ecosystem and unlock one of India's largest untapped growth opportunities.