Trust earned in stages.
Partly's JD calls it out: "automation must earn user trust progressively rather than replace all at once." Drag the slider — the workflow morphs as confidence accrues.
Repairer manually transcribes from BMS into estimating tool.
Job auto-syncs from BMS via Partly integration — zero retyping.
Estimator searches catalogues, cross-references diagrams by hand.
Partly Interpreter suggests exact-VIN-matched parts inline.
Phone-and-email back-and-forth across multiple suppliers.
Auto-RFQ to preferred network; rank-by-availability + price.
Insurer kicks back wrong parts days later — rework.
Validation runs upfront; repairer learns of mismatch in seconds.
Invoice mismatches reconciled manually at month-end.
Agentic recon: exceptions surface; repairer approves with a tap.
At IAG we automated 75% of average handling time on digital claim lodgements — but only after the rules engine had earned trust on the low-risk flows first. Same principle here: ship the invisible wins, prove the model, then climb the ladder.