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Rethinking Capital Project Delivery

The Owner's Guide to Al-Native Delivery

Rethinking Capital Project Delivery

AI is making engineering work dramatically faster, yet most capital projects still take as long to reach first value as they did before. Only about one megaproject in two hundred delivers on budget, on time and with the benefits promised. The delivery model was built for a different era, and adding AI to the same stages and gates won’t change that.

Rethinking Capital Project Delivery: The Owner’s Guide to AI-Native Delivery shows owners how to move from retrofit to reinvention. It sets out a clear definition of AI-native delivery and a simple test for any AI programme. It also lays out a practical path to bring value forward safely, drawing on lessons from energy, aerospace, automotive and technology.

For executives and project leaders ready to lead the change. Buy once and every future update is yours.

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About

About

About the Book

AI is making engineering work dramatically faster. Yet on most capital projects, the time from new data to a decision, and from a decision to first value, has barely moved.

Capital projects don’t fail for lack of effort. They fail because the delivery model was built for a world that no longer exists. Only about one megaproject in two hundred delivers on budget, on time and with the benefits promised. Decades of new tools and refreshed frameworks have barely moved that number. Adding AI to the same stages, gates and approvals won’t move it either.

Rethinking Capital Project Delivery: The Owner’s Guide to AI-Native Delivery shows owners how to make the shift from retrofit to reinvention. In AI-native delivery, work is organised around outcomes. Agents carry much of the analysis, on authority they earn, and people own the decisions that matter. Done well, it brings value forward far sooner without lowering the bar on engineering discipline, safety or accountability.

The book draws on more than twenty years inside capital projects with energy majors, and on lessons from aerospace, automotive, manufacturing and technology.

What you’ll discover

  • Why most AI programmes make steps faster but leave the result unchanged, and a quick test of whether yours is a retrofit
  • A clear definition of AI-native delivery, and three questions to ask of any programme: who decides, what is controlled and where authority sits
  • How a field development plan can change from a study that takes months into a living system that keeps working as new data arrives
  • Why projects lock in their biggest mistakes early, and the warning signs to watch for
  • How companies such as SpaceX, Tesla, Siemens, Haier and SAAB deliver complex systems in short cycles that learn as they go
  • How design reuse and asset aligned teams helped bring Shell’s Whale platform to first oil just seven and a half years after discovery
  • The leadership, culture and data foundations that make the change stick, and practical frameworks for choosing the right delivery model for each challenge

Who it’s for

The book is written first for owners and executives in energy and other capital intensive industries. It’s also for programme directors, investors and policymakers who know the current model isn’t working and are ready to lead the change. It avoids technical hype. Instead, it offers clear thinking, real examples and questions you can put to work straight away.

It includes forewords by Dr Jeff Sutherland, co-creator of Scrum, and Sanchay Roy of Shell.

A book that practises what it preaches

This is a living book. Like the delivery model it describes, it improves in short releases, shaped by readers’ feedback.

Release 2.0 (November 2026) begins the second edition:

  • a new subtitle and cover
  • two new chapters: Retrofit or Reinvention, and What AI-Native Delivery Means
  • redesigned case studies, redrawn figures and references at the end of every chapter

Coming in later releases: steering by outcomes, governing AI-native delivery and leading change inside an established organisation.

Buy once and every future update is yours.

Start with the free sample: both forewords and Chapter 1.

Author

About the Author

Edward Abramowich

Edward Abramowich is Founder and Principal of Straits Consulting in Singapore. For almost twenty years he has worked alongside energy majors, national oil companies, asset owners and their contractors on five continents. His work spans refineries to offshore megaprojects, often embedded in their teams.

He knows where projects are won and lost: late decisions, rework, broken handoffs and slow feedback between engineering and the yard. He has built lean and agile ways of working inside large energy organisations. He has coached executive teams and helped operating assets across Asia and the Middle East turn improvement initiatives into daily execution discipline.

Today he helps owners and leading consulting firms move beyond adding AI to old processes, towards AI-native ways of delivering capital projects. He speaks at conferences, runs executive workshops and writes the monthly LinkedIn newsletter Rethinking Capital Projects.

His approach to change is simple: think big, start small, learn fast.

Connect: straitsconsulting.com · linkedin.com/in/leancoaching

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Contents

Table of Contents

  • Foreword by Jeff Sutherland v
  • Foreword by Sanchay Roy ix
  • Part I: A Changing Reality 1
    • 1. The Capital Project Delivery Revolution 3
    • 2. My Journey in Transformation 9
    • 3. For Those Ready to Build the Future 15
    • 4. The 99.5% Failure Rate 21
    • 5. Mega Projects Fail Early 27
    • 6. AI and the Future of Project Delivery 35
    • 7. The Limits of Control: Why Legacy Models Stall 43
    • 8. Beyond Front End Loading 53
    • 9. Will You Spot the Early Warning Signs? 63
  • Part II: The Root Causes of Underperformance 71
    • 10. Why Projects Fail - Again and Again 73
    • 11. Think Your Project Is Unique? Think Again 87
    • 12. The End of ‘One and Done’ 97
    • 13. The Rigidity Trap 111
    • 14. Fast and Adaptable Construction 125
    • 15. Retrofit or Reinvention 137
  • Part III: Building the Future Delivery Model 149
    • 16. What AI-Native Delivery Means 151
    • 17. From Linear to Adaptive Processes 167
    • 18. Leadership at the Edge 191
    • 19. Vision That Inspires, Relentless Focus on Value 209
    • 20. Modularity as a Model for Adaptive Delivery 227
    • 21. Agentic Pods: The Future of Project Teams 241
    • 22. Iteration Over Perfection 267
    • 23. Engineering Cultures That Accelerate Innovation 281
    • 24. Data: The Delivery Engine 299
    • 25. From Supply Chains to Value Ecosystems 315
    • 26. Reinventing Delivery, Powering the Future 329
  • Appendix 1: Right Model for the Challenge 333
  • Appendix 2: Agentic AI in Traditional Delivery 345
  • Glossary of Terms 359
  • Further Reading 363
  • Index 369
  • About the Author 371

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