The AI Dividend in Banking book cover
Banking & Financial Services · Working Professionals

The AI Dividend in Banking

An Enterprise Transformation Guide for Banking Leaders

Austin PM · FutureCentral Press

Enterprise transformation for banking leaders.

Working ProfessionalsBook in development
Explore the bookInquire about this bookView contents
AudienceWorking Professionals
Structure20 chapters listed
StatusBook in development

About the book

Banking leaders must decide where enterprise AI transformation can create value and what their institutions need to deliver it. This developing management book brings segment strategy and investment portfolios together with operating capabilities and governance.

What you will learn

  • Set a banking AI value agenda
  • Prioritize transformation investments
  • Design organizational capabilities
  • Connect governance with enterprise delivery
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Table of contents

View all 20 chapters

The chapter structure is in development and may change.

  1. Three waves of AI in banking — and why the third wave breaks the rules
  2. The state of AI in Indian banking today
  3. Four banks, four AI agendas — the segment framing
  4. The AI dividend in banking — where the money actually is
  5. Over-hyped and under-invested — the strategic map
  6. Portfolio thinking — the AI bet allocation problem
  7. Retail and SME — the loud half of the bank
  8. Corporate, trade, and treasury — the quiet half of the bank
  9. Risk, compliance, and audit — the third line in an AI world
  10. Operations, HR, and the back office — where AI quietly pays
  11. Agentic AI in banking — the workflows that change shape
  12. The CBS reality — AI strategy meets a thirty-year-old core
  13. Data, talent, and compute — the three readiness deficits
  14. Vendor concentration and the build-buy-partner call
  15. FREE-AI — the seven sutras seen from the CEO’s chair
  16. Model risk management in a generative and agentic era
  17. The board, the three lines, and the AI accountability question
  18. Why most bank AI programmes stall at twenty-four months
  19. Capability building, culture, and the long arc
  20. The AI-era banking leader — and the CEO succession question
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