Tier9AI
Auto Services and Repair

Reduce phone-tag and speed estimate approvals without adding admin load.

For service advisors and shop managers balancing estimate approvals, parts updates, and front-desk interruptions.

Top operational pain points

Pending estimates that stall bays

Manual parts status updates and repeated inbound calls

Fragmented service communication between teams

Three starter workflows

Estimate approval velocity

Trigger: Estimate remains pending

Potential outcome: Faster approvals and improved bay throughput

Typical timeline: 6-10 days

Parts status automation

Trigger: Parts status change event

Potential outcome: Lower status-call volume and better transparency

Typical timeline: 7-11 days

Service update lane

Trigger: Repair stage changes

Potential outcome: Cleaner handoffs between advisor, tech, and customer

Typical timeline: 7-12 days

Planning note

These workflows are directional starting points. Final scope and KPI targets are confirmed during kickoff based on your actual stack, team capacity, and baseline data.