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AI Playbooks

Action plans generated from fleet patterns. Each one is a ranked sequence of steps with effort and impact.

View target → Austin West (shop-07)
1

Estimator workshop — supplement reduction

Target the 52% supplement rate. Two estimators show 60% of the filings; focused training + OEM guide review expected to cut supplement frequency by 15 points.

effort: lowimpact: highhorizon 14d
2

Parts availability audit

Validate that top-5 supplier SLAs match fleet norms; Austin has a 2.3-day longer parts wait vs. peers.

effort: mediumimpact: mediumhorizon 30d
3

Reassign Jordan Rivera as floor coach

Rivera's 30-day trajectory (-27% cycle) suggests strong coaching instinct. Temporary redeploy to mentor 3 lagging techs.

effort: lowimpact: highhorizon 60d
4

Weekly cycle-time review with manager

Stand up a Monday 15-min review with Lily Chen using the WIP Command Center. Measure week-over-week delta.

effort: lowimpact: mediumhorizon 90d
5

Incentive adjustment

Shift a portion of tech bonus from volume to cycle-time adherence — align incentives to the target behavior.

effort: mediumimpact: highhorizon 90d
6

Follow-up audit at day 90

Verify cycle <8d, supplement rate <42%, CSI ≥85. Escalate to regional if targets missed.

effort: lowimpact: mediumhorizon 90d
Expected outcome

Bringing cycle to 8d within 90 days unlocks ~$340K/yr additional revenue and restores CSI above 85.