AI for banking that passes the audit
KYC/AML automation, loan-document processing and dispute copilots — built with the explainability and audit trails a regulated lender needs.
Where AI actually moves the needle in Banking & Financial Services
Banking work is document-dense and compliance-bound. Onboarding alone means parsing IDs, proofs of address, financials and beneficial-ownership chains, then checking them against sanctions and PEP lists. An AML/KYC agent that extracts, validates and pre-clears the routine cases — while routing the genuinely risky ones to a compliance officer with the evidence laid out — compresses onboarding from days to hours without weakening controls.
Lending is the same shape at higher stakes. A loan-processing copilot reads bank statements, GST returns and financial documents, spreads them into a structured view, and drafts a credit memo with the supporting evidence. The credit officer still decides — but they decide faster, with consistency and a clear audit trail of every input that informed the call.
Servicing rounds it out: dispute and chargeback handling, branch-staff RAG over product and policy documents, and customer-facing assistants that answer accurately within tight regulatory guardrails. Everything integrates with core banking, KYC/AML platforms and RBI reporting feeds, and every decision is explainable — because in financial services an unexplainable model doesn’t survive an audit.
What we build for Banking & Financial Services teams
KYC/AML onboarding agent
Extracts and validates KYC documents, screens against sanctions and PEP lists, and pre-clears routine cases with evidence for review.
Loan-processing copilot
Spreads bank statements, GST returns and financials into a structured view and drafts a credit memo for the officer.
Dispute & chargeback handler
Assembles the evidence pack and drafts the response for transaction disputes, cutting manual investigation time.
Branch & policy RAG
Gives staff accurate, cited answers from product terms, circulars and internal policy without external leakage.
Transaction-monitoring triage
Prioritizes AML alerts with explanations so analysts work the highest-risk cases first, reducing false-positive fatigue.
Regulatory-reporting assistant
Helps compile and cross-check returns against source data, flagging inconsistencies before submission.
How we deliver
| Capability Parameter | System Specification |
|---|---|
| Integrations | Core banking, KYC/AML platforms, LOS/LMS, sanctions/PEP screening, RBI reporting feeds |
| Models | Frontier LLMs for document reasoning; tuned models for screening and alert prioritization |
| Guardrails | Explainable, human-approved decisions; maker-checker flow; complete audit logging |
| Engagement | Fixed-scope build, 4–10 weeks, then optional operate retainer |
| Typical budget | ₹20L–₹50L / $20k–$60k per production system |
| Data & compliance | RBI and DPDP aligned; data residency in India; no training on customer data |
