India’s fintech sector runs on speed and scale — and so does its fraud. AI is central to both growth and defence, under a thickening layer of RBI and SEBI rules. Here’s a grounded view. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry, and this is not legal advice.)

The use cases

  • Alternative-data credit scoring — assessing thin-file borrowers who lack traditional credit history.
  • Real-time UPI fraud monitoring — screening transactions at the speed UPI demands.
  • AI video-KYC + deepfake defence — both verifying identity and detecting manipulation (India runs on the order of 11 lakh video-KYC calls a day).
  • AI-driven collections — prioritising and optimising recovery.
  • Regtech compliance monitoring — automated checks against RBI rules.
  • Multilingual conversational AI — serving tier-2/3 customers in regional languages.

Fraud moves at UPI speed

The scale is the story: March 2025 saw over 22.64 billion UPI transactions worth ₹29.52 trillion in a single month (Business Standard). Fraud keeps pace — RBI’s June 2025 bulletin flagged account-takeover fraud up ~310% year on year, and deepfake manipulation of video-KYC is a live threat (analysis). Real-time AI fraud monitoring is a necessity, not an option.

The rules that shape fintech AI

  • RBI Digital Lending Directions, 2025 — explainability, vendor vetting, India data storage (see AI in BFSI).
  • RBI localisation — payment data in India.
  • DPDP Act — personal-data processing.
  • SEBI — for fintechs touching securities: the Feb 2025 retail-algo-trading circular (mandatory for brokers from April 2026; algo providers must register with exchanges) and the June 2025 responsible- AI/ML consultation (SEBI).

The vernacular growth lever

For tier-2 and tier-3 customers, multilingual conversational AI is a real growth and inclusion lever — routing queries and guidance to Indic-tuned models lets fintechs serve them affordably in their own languages.

Where osFoundry fits

osFoundry is model-neutral and self-hostable — fintechs can run it in an India region to fit RBI localisation, route to vernacular and global models, and keep decisions auditable for explainability. dgm builds the controls; your compliance team owns regulatory determinations. osFoundry is younger with limited independent coverage, so dgm validates fit.

How dgm helps

dgm builds fintech AI — fraud, KYC support, vernacular service — on osFoundry with India residency via self-hosting and explainability in mind. Transparent pricing: $399 assessment, $3,999/month implementation, no per-seat fees (INR approximate; 18% GST for domestic clients). Explore the platform at osFoundry, or talk to dgm about a compliant fintech AI build.

General information, not legal or financial advice. Confirm RBI/SEBI/DPDP obligations with counsel before deploying.