Every major bank in the world is racing to become AI-first. Most will fail. Not because AI doesn't work — but because they're applying a transformational technology with a maintenance mindset. The technology isn't the problem. The leadership, governance, and change capability is.
This book is the playbook I wish had existed when I started. Drawing on 15+ years across Citi, PwC, TCS, and global banking — and real experience leading AI programs in one of the world's most complex regulated environments — it delivers the practical, unvarnished guide that enterprise executives need to act, not just understand.
No pilot theater. No consultancy jargon. No theoretical frameworks that dissolve on contact with reality. Just what actually works at scale — and the honest account of what doesn't.
Early waitlist members get access to pre-release chapters, a private Q&A briefing with Shama, and a discounted launch price.
Nine chapters covering every dimension of enterprise AI transformation — from strategy to governance to culture.
Why most banks aren't ready for AI — and a rigorous diagnostic framework to find out exactly where you stand.
The governance model that takes AI from a promising prototype to an enterprise-wide capability that actually delivers.
How leading banks are turning regulatory compliance from a bottleneck into a competitive moat for AI adoption.
The human and organizational design decisions that determine whether AI transformation succeeds or stalls at middle management.
How to run transformation programs that move fast enough for AI — without sacrificing the discipline that banking requires.
Applying DMAIC methodology to AI implementation — eliminating waste, reducing variation, and creating precision at scale.
Waitlist members get early access, pre-release chapters, and a private briefing. Join 300+ transformation leaders already on the list.
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