AI governance for India's BFSI

You're now responsible for every AI decision your company makes.

We make the AI you built explainable, auditable and human supervised — in weeks, not just a rebuild.

GOVERNANCE LEDGER live
14:32:07 req #A1F9
input     redacted · 3 PII fields
model     draft recommendation
routed    human review queue
status    ✓ officer sign-off

Every model call your firm makes — redacted, logged, and reviewable — across lending, claims, and operations.

THE PRESSURE IS ALREADY HERE

The majority of Indian financial institutions use AI that they are unable to account for.

From the RBI's own survey of regulated entities. Enforceable audits are running out of time.

0%

keep audit logs of their AI decisions

0%

can explain how a decision was made

0%

check their models for bias

0 months

to the DPDP full-compliance deadline — 13 May 2027

…and active enforcement may arrive sooner.

Source: RBI survey of regulated entities (FREE-AI Committee, 2025). Deadline: DPDP Rules 2025.

SEE THE DIFFERENCE

Same AI request. Flip governance on.

A real loan-approval request through your model — with the guardrails off, then on.

Ungoverned
Approve a ₹12,00,000 personal loan — Rahul Sharma, PAN ABCDE1234F, mobile 98765 43210, 2 missed EMIs in FY24.
Full record sent straight to the model
Model replies: “Approved” — in 1.2s
No human review. No record was kept.
✕ PII exposed to a third-party model ✕ No audit trail ✕ Risky case auto-decided
Governed
Approve a ₹12,00,000 personal loan — [NAME] PAN [REDACT] mobile [REDACT], 2 missed EMIs in FY24.
PII stripped · only decision-relevant fields reach the model
Risk flag → routed to human review queue
Repayment history triggers a sign-off. The model drafts; an officer decides.
AUDIT TRAIL · req #A1F9 · 2026-06-24 14:32 IST
input      redacted · 3 PII fields removed
model      draft recommendation only
risk_flag  repayment_history
routed_to  human review queue
status     awaiting officer sign-off
✓ Explainable ✓ Logged ✓ Human-supervised

WHAT YOUR AUDIT TRAIL INCLUDES

Every decision made with AI assistance can be reviewed.

We help your team gather the supporting data for each AI output so that decisions can be verified, clarified and exported as required.

  • Model utilised and version
  • Prompt and response record
  • References to the source documen
  • PII redaction status
  • User, timestamp, and workflow step
  • Human reviewer and approval outcome
  • Notes on exceptions and overriding reasons
  • Exportable audit record

What we build

Three things, built to sit on the stack you already run.

No rip-and-replace. We cover the AI workflows, models, and tools your teams currently use.

01

Governance layer over your present AI

Every model call is reviewable, recorded, and redacted without taking the place of your current stack.

02

Document & claims intelligence with provenance

Extract and answer from your papers, with a reference behind every word.

03

Custom AI engineering on infrastructure

You own Production AI inside your VPC, ensuring that client data remains inside your boundaries.

Who it’s for

Built for the people who answer for the AI.

BFSI capability centres focus on

AI, data and risk leaders at the India GCCs of global and Gulf banks and insurers.

→Your global parent wants AI; your regulator wants to control it.
→The need to ship fast without creating a compliance mess.
→AI is spreading across teams with no single audit trail.

Fintechs, NBFCs & digital lenders

Founders, CTOs and risk heads shipping AI into regulated workflows.

→You should be able to explain AI in credit and operations decisions. Customer data going to models: DPDP + RBI exposure. Lean team — no time for building governance from scratch.

Book a walkthrough

Get full control over your AI application

Ten minutes, using a real walkthrough of the governance layer on a request like yours. No slideware.

  • One AI workflow, not a broad governance overhaul
  • Clear governance recommendation ahead of any build
  • Data, risk, audit, and human-review requirements factored in
  • Pilot scope, timeline, architecture, and next steps

AI governance review

    No generic AI pitch. We’ll respond with a practical next-step recommendation for your workflow.