Over the past eight months, I have had the opportunity to speak with senior technology professionals at Fortune 500 companies while evangelizing agentic AI solutions. What I realized surprised me: many of them were not doing agentic AI right. Not because of lack of talent or budget, but because they lacked a clear definition of what agentic AI actually is and a structured path for the journey ahead.
That realization led me to develop my Agentic AI Definition and the Five-Stage Agentic AI Roadmap — Prompted, Piloted, Governed, Assured, Autonomous. I have written extensively about both on agenticaiarch.com and in my Agentic AI Architect newsletter on LinkedIn.
My new book, “Intent In, Outcomes Out: A Practitioner’s Field Guide to Agentic AI for the Enterprise,” is the result. It explains what agentic AI is, lays out the roadmap, and shows you how to get it right the first time — without costly mistakes.
It could not have come one day sooner. My analysis of 498 global agentic AI case studies shows just how early the enterprise journey is: not a single case at Prompted (0, 0%), 248 cases at Piloted (49.8%), 247 at Governed (49.6%), only 3 at Assured (0.6%), and none at Autonomous (0, 0%). In other words, more than 99% of enterprise agentic AI deployments are stuck at Stage 2 or 3, and virtually no one has reached Stage 4 or 5.
This book will help you build agentic AI solutions the right way, avoid the pitfalls that derail most initiatives, and move your organization from Piloted and Governed through Assured to the ultimate goal: Autonomous.
The Kindle edition is available globally on Amazon today: https://mybook.to/AgenticAI
If you are leading an agentic AI initiative — or about to — I wrote this book for you.
© Dr. Harish Kotadia, Ph.D., All Rights Reserved, 2026
Dr. Harish Kotadia, Ph.D., is an Enterprise AI Architect with 20+ years of IT consulting experience serving Fortune 100 clients, specializing in agentic AI systems built on Anthropic Claude, AWS Bedrock, and Google Vertex AI.
Disclaimer: This blog post is based on recent events and news items drawn from reputed media sources and vendor websites available in the public domain and quoted above. This post is intended for educational purposes, to help the enterprise agentic AI community learn from public information on the application and use of agentic AI tools and technology in Fortune 500 companies. Views and opinions expressed here are my own and do not represent those of any employer or client, past or present. The analysis presented is my independent interpretation of published news reports quoted above and does not constitute legal, financial, or consulting advice of any kind.