When an AI agent says it completed a task, how do you actually verify what happened?

That question led me to build Factebra, an AI activity evidence and accountability tool designed to help businesses understand what their AI actually did.

AI activity records can contain requests, actions, system evidence, AI claims, failures, and missing information all mixed together. Factebra turns those records into clear, manager-ready evidence reports that show what the AI was asked to do, what can be independently verified, what failed, what evidence is missing, and what still needs human review.

As businesses use more AI agents and automated AI workflows, having a clear AI audit trail and a practical way to verify AI actions is becoming increasingly important.