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GrahAI Systems
Professional AI Services Hub

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

1

KYC/AML onboarding agent

Extracts and validates KYC documents, screens against sanctions and PEP lists, and pre-clears routine cases with evidence for review.

2

Loan-processing copilot

Spreads bank statements, GST returns and financials into a structured view and drafts a credit memo for the officer.

3

Dispute & chargeback handler

Assembles the evidence pack and drafts the response for transaction disputes, cutting manual investigation time.

4

Branch & policy RAG

Gives staff accurate, cited answers from product terms, circulars and internal policy without external leakage.

5

Transaction-monitoring triage

Prioritizes AML alerts with explanations so analysts work the highest-risk cases first, reducing false-positive fatigue.

6

Regulatory-reporting assistant

Helps compile and cross-check returns against source data, flagging inconsistencies before submission.

How we deliver

Capability ParameterSystem Specification
IntegrationsCore banking, KYC/AML platforms, LOS/LMS, sanctions/PEP screening, RBI reporting feeds
ModelsFrontier LLMs for document reasoning; tuned models for screening and alert prioritization
GuardrailsExplainable, human-approved decisions; maker-checker flow; complete audit logging
EngagementFixed-scope build, 4–10 weeks, then optional operate retainer
Typical budget₹20L–₹50L / $20k–$60k per production system
Data & complianceRBI and DPDP aligned; data residency in India; no training on customer data

Frequently Asked Questions

Let's Build Your AI System

Whether you need an AI chatbot, workflow automation, document intelligence platform, or a complete custom AI SaaS product, our product engineers can build it.

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Or write to us directlysupport@grahai.com

Bengaluru, Karnataka, India