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Industry use cases · adaptive AI in the wild

Pick an industry. See what reshapes.

Every industry has a different "wrong-screen-for-the-wrong-person" tax. Below is a working list, with concrete adaptive patterns and a way forward to implementation. Not theoretical — ready to scope.

bfsi · adaptive AI applications

Banking & Financial Services

Where the same screen serves a CFO, a college student, and a small-business owner; and all three deserve different.

Retail banking apps are designed for an averaged-out user who does not exist. As a result, the average user finds them mildly hostile.

Concrete use cases

Each entry is something we have either shipped or scoped. Not a vision document.

Onboarding

Adaptive KYC journeys

Reshape the journey based on inferred persona: salaried users see income proof shortcuts; small-business owners see GST integration; senior citizens see larger forms and assistance prompts.

4 weeks · pilot in one channel
Lending

Risk narrative that fits the borrower

Same underwriting model. Three different explanations: prime borrowers see speed messaging, near-prime see what improves their offer, declined applicants see why and what to do next.

6 weeks · with risk team
Wealth

Advisor dashboards that reshape per client

When the advisor opens a client file, the screen is already organised around that client’s last conversation, life events, and the next-best action — not a generic CRM grid.

8 weeks · RM-co-designed
Servicing

Self-service that hides what you cannot do

The "things you can do" menu is rendered live based on product holdings, KYC status, and channel. No more error pages from disallowed actions.

3 weeks · per product line
Compliance

AML alerts ranked by analyst seniority

Junior analysts see fewer, well-explained alerts. Senior analysts see the long tail, with rationale chains and counter-evidence pre-fetched.

10 weeks · with compliance
Insurance

Claims forms that ask less

Adapt the claims form by claim type, policy data already known, and customer history. Cut average fields completed by 60% without losing data quality.

5 weeks · per LOB
Way forward · implementation

How we would start with you

Begin with one customer-facing journey (typically onboarding or servicing) and one internal surface (typically the underwriter or RM screen). Twelve weeks. We will instrument signals, build the inference contract, ship two adaptive surfaces, and prove the lift with a clean A/B before scaling further.

Scope a Banking pilot