AI is the next operating leverage in BFSI.
Efficiency. Unit economics. Margin. The three levers AI moves on a BFSI P&L. A claim hits the adjuster's desk with the decision already drafted. An underwriter's morning starts with four files that need them, not forty. Judgement that needed a hire now happens with AI.
Find the one that's loudest.
Efficiency
Decisions arrive pre-drafted. The team reviews where they used to build. Underwriting, credit, claims triage, fraud, reporting. Same team, more decisions a day.
Unit economics
The pipes that used to need people now run as software inside your perimeter. Claims, FNOL, KYC, AML, collections. Whole queues close. Cost-to-serve drops where headcount used to be the only knob. Savings show up as margin, and the people stay on the work that needs them.
Margin
The next best move for every customer, drawn from what your top performers already do. Average RMs and advisors operate at top-tier outputs. Cross-sell rates lift. Revenue per customer climbs quarter on quarter.
Four ways we come in.
AI Strategy
When the question is what to build. We help you locate the agent worth building, name the lever it moves, and put the 12-month plan on a page. Your board approves the build, not the abstraction.
AI Pilot
Strategy plus build. When you know the agent (or want help finding it), we put it into production inside your environment. Fixed price against a business result.
AI Governance
When your team is already building and you want oversight from people who have done this in BFSI before. We review architecture, model risk, deployment gates, and the regulator-facing artefacts. Your AI team learns at our pace.
AI Scale Up
When AI is working in pockets across business units, different teams, different patterns. We unify the foundation, port the wins, turn silos into a portfolio. Every next build runs on a foundation that is already standing.
Explore. Prove. Scale.
How any engagement runs, whichever one you are in.
Explore
Your team and ours in one room. Your data, your constraint, your P&L on the table. The agent worth building is named here, along with the lever it moves and the number to land on.
Prove
A small build, in production, in your environment. The lever moves where it is loudest. Done before your next review, with payment tied to the outcome you said you wanted.
Scale
The pattern from the build becomes a portfolio. Adjacent levers move next. Every new build runs faster because the foundation already exists.
The foundation is already standing.
Five planes under every BFSI AI build, already built, already running. A library of BFSI builds lives on top of it, live in production. You inherit both. Your build starts warm.
Data plane
Real-time pipelines from core banking, policy admin, claims, CRM, contact centre. Full lineage. PII masking. Tenant separation across business units. Your data is ready to drive an agent on day one, not after a six-month integration.
AI plane
Vector and structured knowledge bases. MCP tool layers. Memory. Multi-agent orchestration. Your agents have the substrate the best AI teams use today, so the build keeps pace as the frontier moves.
Control plane
The AI gateway every LLM call passes through. Routing, audit log, kill switch, RBAC, FinOps. Eval as a deployment gate. Your CTO has the controls before the first model goes live. Your CFO has FinOps before the first invoice.
Regulatory plane
AIBOM. DPIA. Model risk register. Audit trail per decision. Bias testing per geography. Mapped to SEBI, RBI, IRDAI, DPDP. Your regulator-facing artefacts exist before the regulator asks.
Consumption plane
Copilots, briefs, dashboards. Confidence-based handoff mid-conversation. Your AI knows when to answer and when to hand to a human, so the customer never gets a bluff.
Already built. Already live.
Each one runs in production inside a regulated BFSI environment somewhere. You inherit the build. We configure it for your stack.
Claims Triage & FNOL
Claims close in hours, not days. Customers feel it. Fraud surfaces itself.
Documents read themselves. The right hands get the right claim. Every decision has a trail. Your team focuses on the calls that move customer trust.
Underwriting Decision Support
Underwriters decide in hours. Loss ratio improves with them.
Policy and risk docs sit in retrieval. Scoring runs under human review. Your underwriters spend their day on judgement calls, not paperwork. Throughput goes up, with the same team.
Policy Issuance
Quote to bound policy in minutes. Every clause traceable.
Application data flows through to bind without a manual hop. Lineage on every clause. Your customers get the policy faster. Your reviewers get a clean line from quote to bind.
KYC & AML Automation
Onboarding from days to minutes. The customer feels the speed.
Document review, identity verification, watchlist screening, risk scoring. All in one pipeline. Edge cases route to a human with the reason already drafted. Your AML team focuses on the cases that need their brain.
Credit Underwriting
More approvals at the same risk. Decisions in seconds.
Document spread automation. Decisioning under human review. Adverse action notices already drafted, reasons mapped to policy. Your team approves more, faster, with cleaner paperwork on every decision.
Field Force & Advisor Productivity
Mid-tier advisors operating at top-tier outputs.
The next best move for every agent and broker, drawn from what your best performers already do. Bias-tested across regions and languages. Your bottom tier becomes mid-tier. Your top tier scales without burning out.
Customer 360 for AI
Personalisation that lifts cross-sell and LTV.
One view of the customer across every system. Real-time. The foundation every AI agent in your stack runs on. Your customers feel like you know them, because you do.
Customer Financial Coaching
Customers get advice they can actually act on.
Every reply checked twice before the customer sees it. Compliance built in, invisible to the user. Engagement goes up. So do the assets your customers trust you with.
And many more in the library.
Eight is a sample. If yours is not on this page, it is probably already in the library. The problem on your desk has likely been built before.
When AI lands in your firm.
Why Wednesday
BFSI specialist.
We have sat across the table from your regulators, your compliance leads, and your back-office. We do not need a briefing on what KYC does or why FNOL has to be perfect. The first meeting starts where it would with a colleague who has been in your firm for a decade.
Foundation pre-built.
Data plane, AI plane, control plane, regulatory plane, consumption plane. All five are running. Your engagement is configuration into your environment plus a thin layer on top. The pre-built foundation is the unfair advantage you are paying for.
Paid on outcome.
Fixed price against a business result. We bet that we will move efficiency, unit economics, or margin. Our paycheque rides on yours.
A sample of the work.
12 pages from a previous BFSI Discovery Sprint. The kind of artefact the work produces when it lands. Read it as a peer would.
Begin the shift.
30 minutes. Your firm. The loudest lever. The next move.
Pre-filled topic: