Every autonomous AI decision, logged and reviewable.
AI that runs in operations only works if the operator trusts it. Trust comes from being able to see what the AI decided, why it decided it, and what to do when it gets one wrong. Keelway's agent log captures every classification, every drafted reply, every rate-con extraction, every remittance match — with one-click Good / Bad / Undo per row.
Input, output, confidence, timestamp
Three buttons that matter
By type, state, time, mailbox
Feedback closes back into the model
Frequently asked questions
What does the agent log capture?+
Every autonomous AI decision the platform makes — email classifications (priority tier and category), drafted replies (the proposed text), rate-con extractions (the parsed load record), remittance extractions (the proposed invoice match), pre-filter decisions (the noise the AI suppressed). Each entry carries the input, the output, the model confidence, and the timestamp.
What's the feedback loop?+
Three buttons per row: Good (the AI got it right; reinforce), Bad (the AI got it wrong; mark for tuning), Undo (revert the AI's action). The Good/Bad signal feeds an internal review queue that drives prompt and classifier updates. Undo lets the operator immediately reverse an AI mistake without waiting for a fix.
Can I filter the log?+
Yes. By agent type (Classify, Pre-filter, Drafts, Status replies, Rate cons, Remittances), by feedback state (no feedback yet, marked Good, marked Bad, Undone), by time window, by mailbox account. Useful for periodic AI quality reviews — typically a 15-minute Friday cadence at most carriers.
Why expose this to the operator?+
Trust. AI in operations only works when the operator can audit it. The agent log is the explainability layer — every decision is visible, the reasoning is traceable, and the feedback closes the loop without requiring an engineering ticket. Carriers that deploy AI without this transparency lose trust and turn the AI off; the agent log keeps it on.