CONTEXT

Artificial intelligence is becoming widely available. Context is not. Every organization has a hidden operating system: the decisions it has made, the exceptions its experts recognize, the commitments it has kept, and the lessons it has earned the hard way. Most of that context is scattered across people, systems, meetings, inboxes, policies, and unspoken routines. It disappears just when a leader, or an AI agent, needs it most. In CONTEXT, enterprise AI and transformation leader Kevin Duffy argues that context is the hidden infrastructure of judgment. It determines how people interpret information, how organizations learn across time, and whether AI agents become useful operating partners or merely fluent interfaces. Duffy introduces the Context Moat: a practical leadership model for turning organizational experience into enduring advantage. Capture. Structure. Compound. Through a human-to-machine timeline, composite enterprise cases, and practical tools, you will learn how to identify the context that changes consequential decisions; preserve expert judgment without reducing it to a document dump; distinguish a model's general capability from your organization's actual business context; design agentic systems with purpose, evidence, memory, authority, boundaries, and feedback; govern what an agent can know, do, and remember; and build a system that turns outcomes and corrections into better future judgment. This is not a book about better prompts. It is a book about building the organization that AI can responsibly serve.