AI credit scoring and credit risk AI for modern lenders

RiskIQ AI scores borrowers on bureau, financial, banking and alternative data and returns an explainable risk score, a probability-of-default estimate and a documented recommendation for analyst review.

  • Explainable 0–1000 AI credit score with per-factor contributions
  • 12-month probability-of-default estimate and A1–D risk band
  • Alternative data for thin-file, gig and self-employed borrowers
  • Bank statement analysis into income stability and cash-flow signals
  • Bureau connectors that auto-populate credit scores into assessments
  • Audit trail, model versioning and reproducible historical decisions

Case studies

Illustrative outcomes from pilot deployments of AI credit scoring with Indian credit teams.

31% more approvals

Mid-size NBFC, personal loans

Alternative cash-flow signals let the credit team approve thin-file salaried applicants who failed a bureau-only cutoff, while keeping the modelled PD inside their risk appetite.

9 min average review

Fintech lender, MSME working capital

Statement extraction plus factor-level explanations cut the manual spreadsheet review of business banking data from over an hour to under ten minutes per file.

100% auditable files

Digital lending platform

Every score is stored with its model version, weights and PD ranges, so the risk committee can reproduce any historical decision during audit and review.

Talk to our team

Tell us about your portfolio and we'll walk you through scoring, explainability and deployment.