The Question No One Can Answer
Picture this: a bank deployed an AI agent to help with transaction approvals. Three weeks later a regulator shows up and asks a simple question: "On June 3rd your agent approved transaction #8492 for $47,000 — why?"
The bank goes to check the logs. The logs say "approved." But they don't say why. The agent's reasoning is gone, the context is lost, and the logs live on the same server where the agent runs. There's no way to prove to an external auditor that the decision was correct without asking them to trust the bank's own infrastructure.
This is not a hypothetical problem. Banks right now are starting to use AI agents for real things — moving money, making decisions, talking to customers — and the question of "how do I prove what my agent did last week?" is one that most of them cannot answer today.
I know because I've been researching this for months. And I built something that tries to fix it.
