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Your enterprise is spending billions on AI.
Getting millions back.
Here is why.

The AI-Native Enterprise is the definitive guide for CXOs, CDOs, and senior leaders who are done with AI theatre and ready to build systems that actually deliver. Be first to read it.

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Readers at 200+ global enterprises
Endorsed by Marie Curie, and growing
The AI-Native Enterprise — by Prasad Prabhakaran
85%
of enterprise AI projects fail to scale
13
chapters. One complete system.
6
new frameworks for AI leaders
200+
enterprises represented by readers
$2.5T
The world is spending trillions on enterprise AI.
Most of it is not working.

Not because the models are bad. Not because the data is messy. Because organisations are treating AI as a feature when it requires an entirely new operating model. Prasad Prabhakaran has spent years inside the world's largest enterprises watching this play out — and has written the book to fix it.

"The problem isn't that AI doesn't work. The problem is that enterprises are using 21st-century technology with 20th-century operating models."
The Big Ideas

Six concepts that will change
how you lead AI.

CONCEPT 01
Executive Theater

Why the AI demos in your boardroom look nothing like what is happening on the ground — and the dangerous gap this creates between perception and reality.

Part I — The Intelligence Gap
CONCEPT 02
Toasters vs. Washing Machines

The critical difference between an AI feature and an AI operating model. One plugs in and runs. The other transforms how work gets done. Your organisation is building the wrong one.

Part I — The Intelligence Gap
CONCEPT 03
Semantic Debt

The invisible cost that accumulates every time AI is deployed without a shared language for what it means, what it does, and who is responsible when it fails.

Part I — The Intelligence Gap
CONCEPT 04
Phantom Hours

The productivity gains that appear in reports but never show up in outcomes. Understanding why AI efficiency claims collapse under scrutiny — and what to measure instead.

Part II — The Silent Collapse
CONCEPT 05
Ghostware

AI systems that are technically live but practically abandoned. The quiet ROI killer that no one puts on slides, and the trust erosion pattern that causes even successful pilots to stall.

Part II — The Silent Collapse
CONCEPT 06
The AI Factory

The architecture of industrialised intelligence — moving from heroic one-off deployments to a repeatable, governed, continuously improving AI delivery system.

Part III — The Architecture of Trust
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Inside the Book

Four parts. One complete system
for the AI-Native Enterprise.

I

The Intelligence Gap

Why we are spending billions and getting millions in return. The AI Hype Trap, the difference between AI features and operating models, and why the hallucination debate is a red herring while systemic risks quietly destroy value.

II

The Silent Collapse

The gritty reality of enterprise AI delivery that nobody puts on slides. The Outcomes Gap, the Dirty Hands of real delivery, and the Trust Erosion pattern that turns promising pilots into Ghostware.

III

The Architecture of Trust

How serious organisations make AI dependable. Moving from heroic efforts to industrialised intelligence with The AI Factory, from prompts to agents, and governance as infrastructure — not an afterthought.

IV

The Human Operating Model

AI does not transform organisations. Leaders do. The new leadership behaviours, workforce dynamics, and cultural shifts required to build an enterprise where human and machine intelligence genuinely compound.

What Leaders Are Saying

From the people in the room
where it actually happens.

"

The AI‑Native Enterprise focuses on the gap between what AI is capable of today and how organisations put it into practice. Despite widespread discussion about AI's potential, most organisations are not yet set up to convert that capability into real operational benefit. This book addresses that gap.

M
Mark Lumby
Head of Fundraising Analytics, Marie Curie
"

This is the book I wish existed when we started our AI transformation four years ago. The AI Factory framework finally gives us a common language across engineering, data, and the business.

R
Raj Krishnamurthy
CTO, Fortune 500 Manufacturing
"

The framing of Executive Theater is uncomfortably accurate. I have been in those boardrooms. Prasad writes with the authority of someone who has been in the same rooms — and survived them.

M
Maria Okonkwo
MD, Global Consulting Practice
Prasad Prabhakaran — Author of The AI-Native Enterprise
PP
About the Author

Prasad Prabhakaran

AI Leader  ·  AI Product & Platform Builder  ·  AI Operating Models

Prasad Prabhakaran helps organisations move from AI pilots to trusted production systems that change how decisions are made. With more than 20 years of experience — including senior roles at Microsoft and Samsung and deep work across insurance, financial services, and other regulated industries — he builds the AI products, platforms, and operating models that survive contact with reality.

Much of his work sits where the stakes are highest: AI systems that automate risk ingestion from complex broker submissions, support underwriting decisions, and drive operational efficiency in industries where AI failures have real consequences. He works with C-suite leaders on enterprise AI strategy, scales AI engineering teams, and designs the governance and operating frameworks that allow AI to be trusted at scale — not just demonstrated in a pilot. This book is the system he has spent 20 years building.

20+
Years in enterprise AI
38+
Countries reached
Microsoft
Samsung
Career background
Connect on LinkedIn
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