Five books, long-form articles, and a small shelf of talks worth an hour.

A practitioner's guide for fraud and risk leaders in banking.

How financial institutions modernize customer onboarding by combining digital workflows, automation, AI and trust-first design: reducing friction, improving compliance, strengthening identity verification, and creating faster, more personalized onboarding.

With Shivam Patralekh. A practical guide for banking technologists, product leaders and transformation executives on how generative AI is reshaping customer onboarding, personalization, fraud detection, compliance, data governance and platform modernization.

In an era where generative AI is transforming industries, the role of the CTO is undergoing a monumental shift.

Insurance looks like one industry from outside. It is a chain of very different businesses, and only some of them lose money when a claim arrives.

Your credit union adopted AI one browser tab at a time. Why the perimeter held while member data left anyway, why a ban fails, and a 90-day path from shadow AI to governed AI..

The first AI employee a bank hires should be an internal auditor. This is the build: an evidence contract, a deterministic policy replay layer, declarative population monitors, an investigation agent that cites its sources, and guardrails that do not negotiate..

Most audit trails in banking are write-only memory, read first by the examiner. How an evidence readiness assessment before the vendor contract and an auto-audit layer after go-live catch onboarding irregularities at the first occurrence..

Why the safest place to start with agentic AI in banking is the internal audit seat: read-only tools, retrieval-grounded findings, a human review queue, and an autonomy ladder you can defend in front of an examiner..