Most companies don't have an AI strategy problem. They have a coordination problem — and they're about to hand it to a system that can finally act on its own.
By 2026, roughly seven in ten enterprises have deployed some form of agentic AI into production. Six in ten of them have no formal governance for it. That gap — between what these systems can now do and what most organizations are prepared to responsibly let them do — is where AI initiatives quietly fail, and where this book begins.
The Agentic AI Playbook teaches you to spot real opportunities for agentic AI, design a pilot worth funding, and scale it without losing control — not through abstract frameworks, but by working the entire arc through one company, start to finish.
Meet Meridian Insurance Group: a regional insurer with 85,000 claims a year, a legacy policy system with no API, six underwriters drowning in manual review, and — like most real organizations — one unsanctioned AI pilot already sitting in its recent past as a cautionary tale. Every chapter puts you to work on Meridian's real bottlenecks: you'll audit a workflow for what a reactive chatbot can't do that an autonomous agent can, choose the right orchestration pattern for a high-stakes fraud referral, design a governed pilot with a real kill-switch, and build a four-phase scaling strategy a board could actually approve. Then, immediately after each exercise, you'll see a fully worked model answer — so you always know what "good" looks like before you move on.
You'll walk away knowing how to:
Written for business leaders, product and operations executives, and technology strategists who are done reading about agentic AI in the abstract and ready to actually build with it — The Agentic AI Playbook is the closest thing to sitting in the room while a real initiative gets designed, piloted, and scaled.
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