Chapter 6 - Section 6.6Portfolio under Co-Lending Model
The co-lending portfolio stood at ₹1,792 crore as of 31 March 2026, involving 11 MLIs - nine NBFC-MFIs and two NBFCs.
6.6 Portfolio under Co-Lending Model
Co-lending has emerged as an important partnership model through which banks and NBFCs can jointly fund loans while leveraging the sourcing, underwriting and servicing capabilities of partner institutions. In the microfinance ecosystem, co-lending may help improve access to lower-cost funding while ensuring that both partners retain a financial interest in the loan.
The RBI’s Co-Lending Arrangements Directions, 2025 became applicable from 1 January 2026 require each regulated entity to retain at least 10% of each loan under a co-lending arrangement, require a blended interest rate for the borrower, and require the respective loan shares to be reflected in both lenders’ books no later than 15 calendar days after disbursement.
Table 6.6: Co-lending portfolio of MLIs
| Legal Form | No. of MLIs engaged in Co-lending | Name of Banks/FIs in Co-lending Arrangement with MLIs | Total Portfolio under Co-lending Model (in ₹ Crore) | Out of Total, Co-lending share of Banks/FIs (in ₹ Crore) | Out of Total, Co-lending share MLI (in ₹ Crore) as of 31 March 2026 |
|---|---|---|---|---|---|
| NBFC-MFI | 9 | SIDBI, Axis Bank Ltd, State Bank of India, Karnataka Bank Ltd., Federal Bank Ltd., Canara Bank, Punjab National Bank, Indian Overseas Bank, MAS Financial Services Ltd., Piramal Finance Ltd. | 1,367 | 1,091 | 276 |
| NBFC | 2 | HDFC Bank, MAS Financial Services Ltd., Kisetsu Saison Finance Pvt. Ltd., Federal Bank Ltd., State Bank of India | 426 | 340 | 85 |
| Total | 11 | 1,792 | 1,431 | 361 |
The co-lending portfolio reported as of 31 March 2026 stood at ₹1,792 crore, involving 11 MLIs - nine NBFC-MFIs and two NBFCs. Of the total co-lending portfolio, NBFC-MFIs accounted for ₹1,367 crore, or about 76%, while the two NBFCs accounted for ₹426 crore, or about 24%. The arrangement involved a mix of public-sector banks, private-sector banks, SIDBI and NBFCs. Banks/FIs funded ₹1,431 crore, representing nearly 80% of the total co-lending portfolio, while the participating MLIs retained ₹361 crore, or about 20%, on their own books. The portfolio reflects the growing role of co-lending as a mechanism through which MLIs can access larger and relatively lower-cost funding pools while retaining a meaningful share of credit risk and responsibility for last-mile customer servicing.
Conclusion
The Business Correspondent model remains a critical bridge between regulated financial institutions and underserved customers. Its relevance has increased as lenders seek efficient and resilient means of providing last-mile credit while MLIs seek diversified partnership and funding models. The FY 2025-26 experience demonstrates that the BC model must evolve beyond a narrow focus on sourcing and collection towards a more accountable framework of responsible credit delivery, customer support, digital security and risk management.
A sustainable BC ecosystem will require collaboration among banks, Small Finance Banks, NBFCs, MLIs, technology partners, regulators and industry associations. The next phase of progress should be measured not only by the size of the BC portfolio or the number of partnerships, but also by the quality of customer outcomes, transparency of lending practices, operational resilience and contribution to inclusive financial development.
Box 6.1: Building a Resilient, Responsible and Technology-Enabled Microfinance Ecosystem
Muthoot Microfin Ltd (MML) is leveraging technology, digital innovation and robust governance frameworks to strengthen responsible lending, customer protection, operational resilience, efficiency and financial inclusion. Its approach combines technology and AI with human oversight, cybersecurity controls, employee capability and customer empowerment.
Cybersecurity & Operational Resilience
MML has strengthened its cybersecurity and operational risk framework through risk-based governance aligned with ISO/ISMS standards. Employee awareness programmes, phishing simulations, disaster recovery drills, incident-response mechanisms, third-party risk management and Continuous Threat Exposure Management (CTEM) support proactive identification and mitigation of emerging risks. These measures are aimed at strengthening business continuity, protecting critical systems and enhancing resilience against operational and cyber threats.
Technology-Enabled Lending & Operations
MML uses e-KYC, Face Match, e-Sign, customised credit scorecards, propensity models and digital applications to create a secure, efficient and largely paperless customer journey. An independent Credit Vertical strengthens governance by maintaining separation between credit decisions and business operations. AI-enabled underwriting for Individual and MSME loans analyses voice, images and documents to improve the consistency, speed, documentation and auditability of credit assessment, while retaining appropriate human oversight in decision-making.
Technology is also being used to improve operational efficiency, standardise processes and strengthen the quality and traceability of credit decisions across the lending lifecycle.
Digital Payments & Customer Empowerment
MML’s digital ecosystem integrates digital KYC, electronic documentation, digital signing and UPI-based payments, enabling customers to access services through more convenient and transparent channels. UPI-enabled collections are supporting greater adoption of digital repayments, improving transaction transparency and efficiency while reducing cash-handling risks. Its customer application enables customers to independently access financial information and undertake transactions, thereby promoting digital literacy, transparency, convenience and customer empowerment. The increased use of digital channels also supports better transaction records and reduces dependence on manual processes.
Data Privacy & Employee Capability
MML is strengthening data privacy and information security through cybersecurity controls, employee awareness initiatives and adherence to internal policies and compliance requirements. Given the increasing use of digital platforms and customer data, these measures are important for protecting sensitive information and maintaining customer trust.
Its evolving AI learning platform provides continuous digital training and AI-enabled support to field employees on customer protection, code of conduct, AML, cybersecurity, data privacy, grievance redressal and regulatory compliance. This enables employees to access relevant knowledge and guidance while strengthening awareness of responsible conduct and customer-centric practices.
Overall Impact
These initiatives reflect MML’s approach to responsible digital transformation, where technology and AI are supported by strong governance, human oversight, cybersecurity, data protection and continuous employee capability building. Together, these measures contribute to a more resilient, secure, efficient, inclusive and customer-centric microfinance ecosystem, while supporting responsible growth and improved customer experience.