Fintech

AI Credit Scoring: How Lenders Are Using Alternative Data in 2026

Banks and fintechs are increasingly using phone metadata, utility payment history, and behavioural signals to assess creditworthiness beyond CIBIL.

Creget Research 24 Mar 2026 5 min read

Beyond the Credit Score

Traditional CIBIL scores rely primarily on credit bureau data — past loan repayments, credit card usage, and defaults. For the estimated 400 million Indians with thin or no credit files, this creates a "credit invisible" problem.

What Alternative Data Looks Like

NBFC lenders and fintech platforms are using Account Aggregator bank statement data, GST filing history, e-commerce purchase patterns, and even app usage metadata (with explicit consent) to build creditworthiness models. Early results suggest these models improve loan approval rates for creditworthy thin-file borrowers while reducing default rates.

What This Means for You

If you are building credit from scratch, maintaining a consistent digital footprint — regular UPI transactions, timely utility payments, active bank account activity — helps build a positive alternative data profile. And always read consent forms before granting data access to lending apps: understand what you're sharing and for how long.

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