What is AI agent compliance documentation?
AI agent compliance documentation refers to the technical documentation, risk-management records, and evidence trails required to demonstrate that an autonomous AI agent's behavior meets applicable regulatory requirements — under the EU AI Act, principally Annex IV.
Why agents are harder to document than static models
A static model produces the same type of output for a given input, which makes its behavior relatively easy to characterize once. An autonomous agent takes actions — calling tools, making decisions across multiple steps, sometimes escalating to a human — and its behavior can change as the agent, its tools, or its deployment evolve. Documentation that's accurate on day one can be stale within weeks.
Evidence-based documentation
The most defensible approach ties each documentation claim back to a specific piece of evidence — a tool call, a model call, a human intervention, an error — rather than a general narrative description written from memory. This is the specific gap Attestly is built to close: reading an agent's own operational traces and mapping them directly against EU AI Act requirements, with every generated section linked back to the exact events that justify it.