Worked example
An agent that clears the routine in a review queue and surfaces only the exceptions — so your expert's time goes to the calls that need judgement.
Illustrative — a representative problem and how we'd approach it, not a past client engagement.
Scenario. An expert's review queue mixes routine items with the few that need real judgement — and everything waits behind everything.
The solution. A Build, run as Augmentation — the expert owns the routine/exception threshold; we'd calibrate it on your real queue before anything runs on the routine tier.
- Mixed review queue
- Triage agent — clears routine, surfaces exceptions
- Routine/exception threshold (expert-owned)
- Expert decides the exceptions; owns the threshold
- Routine cleared · exceptions surfaced
The outcome we’d target. The outcome we'd target: the expert spending their time on the exceptions, not the routine — the routine/exception threshold owned by your expert and calibrated on your real queue before anything runs on the routine tier.
This worked example applies the AI Fluency framework — how we frame which door fits