Agent Definition translates the solution strategy into a clear behavioral model for the AI capability. It establishes what the AI is responsible for, how it should interpret the business concepts and evidence relevant to its work, and what it must produce in response.

The outcome is a shared definition of expected AI behavior that can be translated into detailed requirements and evaluated throughout development.

What's Included:

• Responsibilities

• Operating Logic

• Outputs

Agent Definition turns product intent into sufficiently explicit AI behavior for detailed requirements to begin. The team defines the responsibilities of the AI, the operating logic that guides how it performs them, and the structure and requirements of its outputs. Operating logic captures the business definitions, rules, criteria, evidence standards, decision principles, and exception conditions the capability needs to interpret its work consistently and within its intended boundaries. These definitions provide the foundation for decomposing AI behavior into scenarios, business rules, user stories, acceptance criteria, and edge cases.