Implementing AI Agents in Your Company.
A practical, hype-free playbook for the managers and operators who have to turn AI agents into business outcomes. Eleven chapters with the frameworks, examples and decisions you can use on Monday morning.
"Where do I even start?" A book-length answer.
For the past year I have been building with what we now call AI agents. The question I kept hearing from leaders was almost always the same: "I understand AI is powerful, but where do I even start?" I started to write an answer as a blog post. A few paragraphs in, it was obviously a book.
It is written for managers and operators, not machine learning researchers. It covers how to spot a good use case, build a credible business case, run a proof of concept, and manage the messy human side of adoption.
One idea runs through all of it. Successful adoption is rarely about the technology. It is about alignment between what is possible, what is valuable, and what your team is actually ready for.
Dr. Hitesh Sarda, founder of 256 Technologies
Who it is for
- Managers who have been asked "so what is our AI strategy?" and need an answer they can stand behind.
- Operators and decision-makers who are still accountable once the demo is over.
- Leaders who want to move from experimenting to delivering measurable results.
"If you want to stop experimenting and start delivering real business results with this technology, this is where you start."
Shammik Gupta, CEO, INSORCE
From the first use case to an enterprise capability.
The Foundation
What the agentic shift really is, what agents are and are not, and where to find your first high-value use case.
- The Agentic Era and Why Managers Should Care
- Defining AI Agents: Beyond Scripts and Assistants
- Where to Apply AI Agents: Finding the First Step
The Playbook
Redesigning workflows, the build-versus-buy decision, guardrails, and getting people and data ready.
- Redesigning Workflows for an Agentic World
- Build or Buy: Strategies for the AI Era
- Trust, Safety, and Ethics: The Guardrails of Autonomy
- People, Teams, and Culture: The Human OS
- Data and Technical Foundation: The Fuel and the Engine
The Future
Scaling from one pilot to an enterprise capability, what leadership looks like now, and what comes next.
- Scaling Agents: From Pilot to Production
- Leading with AI Agents: The CEO's Agenda
- Future Trends: What's Next for Agents?
If you would like help applying it, that is our day job.
Start with one workflow in a free advisory session. We work through which workflows belong to an agent, build or buy, permissions and audit trails, and a pilot with a baseline and a named owner.