AI-First Lending: The Road Ahead for India's NBFCs
India's NBFCs have been the unsung champions of financial inclusion — reaching the last mile where banks cannot. AI is now redefining how they lend: alternative data from mobile usage and payment histories is replacing bureau scores for new-to-credit borrowers, KYC onboarding is down from 48 hours to 5 minutes, and AI-powered underwriting is improving approvals by up to 50% while reducing losses by 20–30%.
How AI Is Enabling Smarter, Faster, and Fairer Credit for Bharat
India’s NBFCs have been the unsung champions of financial inclusion — catalysing credit access for millions across semi-urban and rural India where traditional banks struggle to reach the last mile.
Now the next leap is here: AI is redefining how NBFCs lend — helping them scale faster, assess risk smarter, and serve borrowers more inclusively. India’s private credit-to-GDP ratio remains significantly lower than global peers, signalling vast untapped potential in formal lending channels.
AI-First Lending Is a Strategic Shift, Not an Automation Story
Traditional lending models hinge on bureau scores, income tax returns, and structured financial documents. Yet much of India’s informal economy lives beyond these data points. AI decodes informal financial behaviours — analysing patterns in mobile usage, payment histories, and behavioural signals — to assess creditworthiness for the new-to-credit segment.
This is not just about automating existing processes. It is about reimagining underwriting from the ground up.
The Three Core Pillars
1. AI-Powered Credit Decisioning
Alternative data builds nuanced risk profiles where bureaus are silent. According to McKinsey, AI-powered underwriting has improved credit approval rates by up to 50% in emerging markets while reducing losses by 20–30%. The model learns continuously; the bureau score is static.
2. Frictionless Customer Onboarding
AI-based face match, liveness checks, and OCR have reduced KYC onboarding from 24–48 hours to under 5 minutes. AI chatbots and voicebots now support Indian languages — making loan journeys accessible for rural and semi-urban customers who the English-first digital stack left behind.
3. Operational Efficiency and Risk Management
AI-powered automation has helped financial institutions cut operational costs by 15–20% (BCG). Real-time fraud detection is now one of the top GenAI use cases in BFSI (KPMG). But explainability remains the non-negotiable: as regulators grow more vigilant, NBFCs must ensure AI models remain transparent, auditable, and free from hidden biases.
The Strategic Playbook for NBFC Leaders
- Reimagine credit journeys — do not just automate legacy processes
- Invest in ethical AI frameworks with full audit trails
- Strengthen data governance and model monitoring for ongoing compliance
- Collaborate with fintechs, credit bureaus, and cloud providers to build the data stack
- Upskill product, credit, and risk teams on responsible AI — India currently has just one GenAI engineer for every ten open roles in BFSI
The Closing Thought
AI is not replacing judgement. It is scaling trust. It enables NBFCs to lend not just to the data-rich, but to the trustworthy-yet-unseen — the farmer whose cash flows are in a dairy payment record, the micro-entrepreneur whose credit history is in her UPI transaction stack.
In India’s march to a $5 trillion economy, NBFCs will be the backbone of inclusive credit. With AI, they now have the tools to be faster, fairer, and far more future-ready.
Sources: McKinsey “Building the AI Bank of the Future”; BCG “From Buzz to Bottom Line”; KPMG GenAI in Banking; Economic Times (2025).