Why Your AI Agent’s Logs Aren’t Earning Trust

When you are triaging an incident at 2 AM, caused by what your agent did, the only thing that matters at that moment is whether you can understand why the agent did what they did. 

Eighteen months into the agentic AI wave, the gap between what an agent logs and what a human needs is the bottleneck most teams are facing. It’s easy to answer “what the agent did,” but not “why the agent did it.”