Launching Spring 2026.
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 enter the Kill Zone—and 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. What's Inside The Book?
Not the theory. Not the vision deck. The actual playbook for the part that decides whether you’re still employed in Month 7.
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.
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.
Real adoption means doing the work and supervising the AI simultaneously. 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 every successful transformation navigates.
The ones who survive? They saw the Kill Zone coming.
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.
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.
Building the foundation introduces Janitor Agents and Protocol Engineering that turns tribal knowledge into repeatable workflows. Driving adoption tackles the Frozen Middle—the layer of middle management where AI initiatives go to die. Making the Business Case reframes ROI as capacity expansion, not headcount reduction: “We processed 30% more volume” wins board support. “We fired 10% of staff” gets you fired.
During the critical adoption window. Plan for it or get blindsided by it.
The window where most AI initiatives fail without proper executive air cover.
The ROI metric that wins board support. Not headcount reduction. Capacity expansion.
Spinning-wheel diagnostics, executive communication scripts, and a Protocol Vault with ten AI-powered document generators you can deploy Monday morning.
Sign up to receive the Pre-Launch Executive Pack (free). Four tools built for operations leaders navigating AI transformation right now:
Spinning wheel diagnostic for AI project selection. Two card types test visibility, impact, complexity, and risk. Built for 45-minute leadership conversations.
Spinning wheel diagnostic for process destruction decisions. Challenges whether the process should exist before asking how to fix it.
Three executive communication scripts (Month 0, Month 4, Month 10) for managing the board through the J-Curve.
Ten AI-powered document generators (Sales, HR, Legal, Vendor) demonstrating Protocol Engineering in practice. Coming post-launch.
Launching Spring 2026.