INDUSTRIAL MANUFACTURING
Governed actions from IT service management into ERP for an industrial manufacturer
Service-desk agents were sending write requests straight into the ERP with no limits, rehearsal or approval, on data refreshed every four hours. Wexa put a governed context layer between them: live ERP context, and four gates on every action.
- ERP writes passing a policy gate
- context tokens per query
- ERP context freshness
- mean time to repair (target)
- CLIENT
- Industrial manufacturer ($1.85B revenue, six plants)
- REGION
- US
- WHEN
- 2026
- ENGAGEMENT
- Solution build
- WEXA COMPONENTS
- Wexa · live ERP context · four-gate action policy · approvals · audit
01Case 17
The challenge
- Agent write requests reached the ERP uncapped and unapproved
- Four-hourly batch sync meant decisions on stale data
- Technicians re-keying between the service desk and ERP
What Wexa built
- Live ERP and ITSM context in one graph, replacing the batch sync
- Four-gate action flow: policy check, rehearsal (dry run), human approval, governed write
- Caps and allow-lists per action type; every write traced to a requester and approver
- KPIs tracked: MTTR, PO cycle time (54 h → 24 h target), OEE (76.4% → 85% target)
02Case 17
How it runs on Wexa
03Case 17
Results
| Measure | Before / without Wexa | With Wexa |
|---|---|---|
Technician hours re-keying between service desk and ERP (120 technicians, six plants) | 480 hours a week | 120 hours a week |
Annual cost of the process | $1M | $259K |
Purchase-order cycle time | 54 hours | 24 hours |
Time to implement the AI solution | 6 months | 6 weeks |
AI build cost (one-time) | $480K | $44K |
AI operating cost per year (models, infrastructure, upkeep, platform) | $312K | $149K |
Total AI cost in year 1 | $792K | $193K |
With Wexa
net annual value to the client after Wexa's own operating cost
faster to implement
lower AI operating cost
less AI spend in year 1
Baseline figures were measured on the client scenario; targets are programme goals.
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