The story centers on New energy vehicles teams who dispatch faults and recovery plan fast.
Overview
Background
Core collaborators include Ops lead, Maintenance engineer, Support lead, each adding context in a fast-moving thread.
Without a structured capture, decisions blur and follow-through slows.
Intervention
When the thread hits a decision point, the team triggers “@Holycrab_AI summarize charging station faults and output a dispatch plan”. Holycrab AI then Fault reports, station status, complaints, Classify faults -> prioritize -> dispatch resources, Dispatch list + recovery plan + customer notice.
The distilled output stays tied to the original context for quick review.
- Input Fault reports, station status, complaints
- Process Classify faults -> prioritize -> dispatch resources
- Output Dispatch list + recovery plan + customer notice
Deliverables & Impact
Deliverables include Dispatch list, Recovery plan, Customer notice, giving the team a clear handoff.
Impact shows up as Response time: 1 hr -> 10 min; Repair time: Shorter.
- Dispatch list Work orders and owners
- Recovery plan Fix timelines
- Customer notice Alternate station guidance
Response time1 hr -> 10 min
Repair timeShorter
ComplaintsDown
Example
Prompt: @Holycrab_AI summarize charging station faults and output a dispatch plan
Fault: charger #12 offline
Priority: P0 fix in 2 hours
Notice: suggest alternate stations