The Problem Nobody Names
40% of enterprises have agents in production this year. Most of them can't answer a simple question: What did the agent learn from that failure?
When agents run at scale, they make millions of decisions. Some are good, some are bad, some are learned patterns you never intended. The difference between a controllable agent and a rogue agent is often a well-kept audit trail—not from the model's perspective, but from the decision boundary.
This is not about observability logs (which are table-stakes). This is about behavior audit trails—detailed records of what the agent did, why it did it (reasoning), what the outcome was, and whether that outcome changed how it behaves next time.
Why This Matters Now
