The story centers on Manufacturing & supply chain teams who turn complaint threads into CAPA plan and validation.
Overview
Background
Core collaborators include Quality manager, Process 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 quality complaints and output a CAPA plan”. Holycrab AI then Complaint records, inspection reports, remedies, Root cause -> corrective/preventive -> verify, CAPA plan + validation nodes + customer reply.
The distilled output stays tied to the original context for quick review.
- Input Complaint records, inspection reports, remedies
- Process Root cause -> corrective/preventive -> verify
- Output CAPA plan + validation nodes + customer reply
Deliverables & Impact
Deliverables include CAPA plan, Validation nodes, Customer reply, giving the team a clear handoff.
Impact shows up as Response time: 1 day -> 2 hrs; Repeat complaints: Down.
- CAPA plan Corrective and preventive actions
- Validation nodes Effect checks and timeline
- Customer reply External response
Response time1 day -> 2 hrs
Repeat complaintsDown
ClosureTrackable
Example
Prompt: @Holycrab_AI summarize quality complaints and output a CAPA plan
Issue: coating peel rate rising
Correction: switch batch + add checks
Verify: track yield 2 weeks