FLATTEN THE AI J-CURVE:

Your Unfair Advantage in the Race to
Enterprise Adoption.
Everyone knows AI is supposed to make you more productive.

So why do the first six months feel like walking backwards?
The consultants don't mention this part. The vendors certainly don't lead with it. But every enterprise that's actually done this—not the case studies, the real ones—knows the secret.

It gets worse first.
Your people do more work, not less. Your metrics break. Your processes expose fifteen years of duct tape and prayer. Month 4 is when most initiatives quietly die.
The difference between the companies that make it and the ones that don't? They saw the dip coming. They knew what to measure when the old numbers stopped making sense. They had a plan for the moment when the board asks, "Why are we paying for this?"
This book is that plan.
Not the theory. Not the vision deck. The actual playbook for the part that decides whether you're still employed in Month 7.
The J-Curve is real. You need to be ready for it.
Join other execs who want to be notified when the book drops (scheduled for Summer 2026).
Get the Executive Pack + 25% Off
THE REALITY CHECK
Why Your Board Is Panic-Buying the Wrong Solution
The pressure is real. Competitors are announcing. The board wants updates. Your teams are experimenting.
But pressure creates panic. And panic creates the exact conditions for the Kill Zone—the productivity collapse you’re trying to avoid.
Toy Mode is Costing You Millions
5,000 employees. All using ChatGPT.
For what? Rewriting emails. Making Slack messages sound nicer.
That's $1.8 million a year. Zero ROI. Your team feels productive. Your CFO sees an expense line that doesn't connect to revenue. Your competitors are doing something different.
The needle isn't moving because the work isn't changing. Your CFO is noticing.
The J-Curve is Inevitable
Real adoption means doing the work and supervising the AI. That’s double-keying—workloads increase 1.5x before they decrease. Productivity drops 15% before it climbs.
If you don’t warn the board now, you’ll be explaining it in Month 4 when the complaints start. This isn’t a bug. It’s the natural learning curve that every successful transformation navigates.
The ones who survive? They saw the Kill Zone coming.
Prompt Engineering is Dead
You don’t need people typing into chatbots. You need Protocol Engineering—locked-down structures that generate reliable outputs every time.

Enterprise “Mad Libs” where the inputs are standardized and the outputs are auditable.
Creative doesn’t scale. Systems do.
INSIDE THE BOOK
The Enterprise Playbook for Adoption at Scale

This isn't a book about ChatGPT tricks.
This isn’t a book about ChatGPT tricks.
It’s the manual for the operational overhaul that separates the companies still debating whether AI is real from the ones already transforming how work gets done.
Part I: The Reality Check
Before you can succeed, you need to understand exactly why most initiatives fail.
The Imagination Gap is why your board is solving the wrong problem—optimizing existing processes instead of building new capabilities. The J-Curve explains the predictable productivity collapse that hits every enterprise around Month 4, creating the Kill Zone where most initiatives die. And Stepping Stone Projects show you how to generate a visible win in four weeks to buy the political capital you’ll need to survive the dip.
These aren’t abstract concepts. They’re the specific traps that have destroyed billions in enterprise AI investments.
Part II: The Migration
The tactical playbook for moving from experimentation to enterprise-wide deployment.
The Squad Model (Chapter 4) replaces uncontrolled AI access with a tiered certification system—Gamma, Beta, Alpha—using 15-person squads that move your people from sandbox learners to autonomous agent handlers. The API Mandate (Chapter 5) is where you stop chatting with bots and start building bots that chat with each other—the shift from human-in-the-loop to human-on-the-loop that unlocks 80% of enterprise value. And Process Destruction (Chapter 6) forces the question most companies never ask: does this process need to exist at all? Eliminate, Standardize, then Automate—in that order.
This is the hard part. The part where productivity drops and boards get nervous. The path exists. You just need to see it.
Part III: Execution
Frameworks that generate visible wins and measurable ROI within quarters, not years.

Building the Foundation (Chapter 7) introduces Janitor Agents—small, cheap AI models that clean your data before the main models hallucinate—and Protocol Engineering that turns tribal knowledge into repeatable, auditable workflows. Driving Adoption (Chapter 8) tackles the Frozen Middle—the layer of middle management where AI initiatives go to die—with the behavioral science behind making transformation stick. And Making the Business Case (Chapter 9) reframes ROI as capacity expansion, not headcount reduction: “We processed 30% more volume” wins board support. “We fired 10% of staff” gets you fired.
Proven. Repeatable. Built from what actually worked when the consultants left and the real work began.
EXCLUSIVE BONUSES
Join the Waitlist & Get Early Access Assets
Sign up now to receive the Pre-Launch Executive Pack (Free).
These aren’t generic templates. They’re the exact frameworks being used by operations leaders to navigate their AI transformations right now. Download them today and start applying the tools before the book even launches.
The J-Curve Prediction Model (Excel)
Input your team size and project scope to generate customized forecasts that show your board exactly when productivity will dip—and when it will recover. The conversation changes when you can show them the curve before they experience it.
The "Existential Threat" Audit
A 1-page diagnostic with eight critical questions that reveal whether your competitor is about to make your operating model obsolete.

Most companies don’t see it coming. You will.
The Business AI Disruptor Job Description
The exact template to identify or assign the person who will own AI transformation in your business units—not IT, the business.

Includes competencies, reporting structure, and success metrics. This role is the difference between transformation and expensive pilot programs.

Ready to Lead Through the J-Curve?
Enter your work email below to receive the Executive Pack immediately and join the waitlist for early access to the book.
You'll also receive weekly insights on enterprise AI strategy—the same frameworks being used by VPs at companies you compete against.
What Makes This Different
The market is flooded with AI hype.
This book cuts through the noise with operational reality. No philosophical debates about AGI. No breathless predictions about the future. Just the frameworks that companies are deploying right now to transform operations, satisfy boards, and build competitive moats.
15%
Expected Productivity Dip
During the critical adoption window—plan for it or get blindsided by it.
The dip is real. Your board needs to hear about it before Month 4.
4-6
The Kill Zone
The window where most AI initiatives fail without proper executive air cover. This is where funding gets pulled. Where sponsors get reassigned. Where “promising pilots” become cautionary tales.
30%
Capacity Increase
The ROI metric that wins board support and secures ongoing funding. Not headcount reduction. Not time saved. Capacity expansion. Same efficiency gain. Different conversation. Different outcome.
9
Frameworks + Digital Assets
  • Every chapter delivers a downloadable tool—Excel calculators, implementation templates, diagnostic checklists—you can deploy Monday morning. This isn’t a book you read. It’s a book you use..
ABOUT THE AUTHOR
David Luria
Business Operations Expert. Lean Six Sigma Black Belt. Software Adoption Guru.
I don’t write theory. I write about what happens when capital meets execution.
In my first book, "The Failure of I.T. Project Management, Why It's Broken and How to Fix It," I pushed business owners to stop abdicating their responsibility for adoption on I.T. The premise that "the most expensive software is the one that never gets used…or gets built twice" is truer now than ever before.
Flatten the AI J-Curve is the next chapter of that argument. AI doesn’t fail because of the technology. It fails because organizations can’t imagine what’s possible beyond their current processes, can’t navigate the inevitable productivity dip, and can’t tell the right story to their boards when the numbers get ugly.
For over twenty years, I’ve been embedded in the operational reality of enterprise transformation—the last decade specifically in financial services. I’ve watched billions get allocated to initiatives that should have worked. The pattern became clear: the winners saw the dip coming. They built different metrics. They told a different story.
This book distills those lessons into actionable frameworks.
No fluff. No hype. Just the operational playbook for leaders who need to deliver results in a world where AI competence is table stakes.
Don't Wait Until Your Competitor Figures This Out First
Right now, someone at your biggest competitor is solving the J-Curve. They’re building the organizational muscle that will let them operate at scale while you’re still stuck in Toy Mode.
Every month without a systematic adoption framework is a month you’re burning budget without building capability.
Get the Executive Pack
Three immediately actionable tools to start navigating the J-Curve today—before the book even launches.
Join the Waitlist
Early access to the complete playbook, plus insights on enterprise AI strategy from the frontlines.
Get Ahead Now
While your competitors are still figuring out prompts, you'll be building systematic competitive advantage.
© 2026 Corso & Alexander, LLC Publisher. All Rights Reserved.
Privacy Policy: We don't sell data. Ever.