Micro-finance: Rural India’s first engine of entrepreneurial credit and what comes next

Long before “fintech inclusion” entered the vocabulary of developmental economics in India, micro-finance had already begun reshaping access to credit in rural India. In the early 2000s, when formal banking was limited, with minimal documentation and almost no digital records, micro-finance emerged as a practical and credible path for rural households, especially women, to pursue enterprise through small loans rather than family savings.

Micro-finance was built within communities and not by institutions, through two simple models rooted in collaboration: self-help groups (SHGs) and joint-liability groups (JLGs). These structures provided an alternative to physical collateral, which is often unavailable to rural borrowers. These models were built on trust, accountability, and mutual responsibility.

In SHGs, members, who are mostly women, collectively borrow while maintaining individual repayment obligations. JLGs, on the other hand, are shared liability, where the group takes collective responsibility in case of default. This principle of joint assurance created financial discipline and enabled lending in a low-documentation, cash-based economy, especially where traditional banking could not operate easily.

Over the years, this community-driven model bridged the structural gap in India’s financial landscape, making credit accessible. Micro-finance thus filled that gap by providing capital to first-time entrepreneurs. This ecosystem has evolved with social trust converging with data, analytics, and regulatory initiatives that shape a more transparent, resilient, and scalable model for inclusive growth.

From social trust to data intelligence: The formalisation of micro-finance

In and around 2007-10, CRIF High Mark entered as a credit bureau to reshape micro-finance lending data. The bureaus helped structure micro-finance bureau reporting, resulting in capturing behavioural repayment data from SHGs and JLGs. Over the past decade, micro-finance has evolved from an intuition-driven practice to a data-informed ecosystem.

While this evolution is still underway, it is now underlined by policy directives leading to recalibration of scoring models, especially for this segment. Most bureaus have now designed a dedicated credit underwriting framework for microfinance borrowers, using repayment histories, credit utilisation, and other behavioural data of micro-borrowers.

Why this matters now

Credit growth in the micro-finance sector grew rapidly through the 2010s, but has slowed in recent years. This slowdown can be strongly linked to rising delinquency, among other structural constraints. As portfolios and so did delinquencies increased, the regulators sharpened their focus on risk management and underwriting within the micro-finance sector.

The revised framework shifted responsibility for pricing and credit assessment to the lender’s policy approved by the institution’s board, from the earlier policy of fixed caps to risk-based pricing determined by cost of funds, risk premium, and margin.

Lenders are now required to evaluate household income and ensure that total repayment obligations do not exceed 50% of income, thus implementing a borrower-level risk filter for underwriting. The regulator has also revised risk-weight norms, raising them in 2023 to 125% for consumer credit (including micro-loans) before moderating them to 100% in early 2025, signalling a balanced approach to capital adequacy and credit risk exposure.

Most guidance from the regulators for the micro-finance sector has also introduced explicit guardrails to restrict multiple borrowing by the same borrower across different lenders, a key systemic risk that previously led to borrowers' increased leverage, over-indebtedness, and portfolio stress.

Now, every lender is expected to assess borrowers’ entire household indebtedness (not just exposure to that institution) before disbursing a new loan, ensuring that the total monthly repayment across all lenders does not exceed 50 % of the household’s income.

This has led to operationalising credit bureau checks for all micro-finance loans. The bureau data reports borrower-level details near real-time to lenders. In parallel, the sector’s self-regulatory bodies (like MFIN and Sa-Dhan) have emphasised these rules by limiting the number of active micro-finance relationships a borrower can hold, typically no more than two or three lenders, and by setting a limit on total unsecured borrowing (around ₹2 lakh per household).

Together, these measures create a multi-layered safeguard against loan stacking, ensuring that risk is distributed while preserving credit access for genuine, creditworthy borrowers.

When risk is better segmented:

• Deserving borrowers get better access to credit
• Lenders avoid group-level probability of defaults
• Lenders regain confidence in the segment
• The objective of financial inclusion is fulfilled

Democratising credit without diluting prudence

In India, micro finance continues to support inclusion and fuel entrepreneurial ambitions, especially for women in rural geographies. Thus, it is an important instrument for the growth engine. This bureau data-based underwriting forms the foundation for resilient and sustainable growth for the next chapter of India’s financial inclusion story.

Disclaimer: The information provided in this article is for informational purposes only and does not constitute financial, legal, or professional advice. While every effort has been made to ensure accuracy, readers should verify details independently and consult relevant professionals before making financial decisions. The views expressed are based on current industry trends and regulatory frameworks, which may change over time. Neither the author nor the publisher is responsible for any decisions based on this content.

Sachin Seth,Chairman CRIF High Mark and Regional MD CRIF India & South Asia