Root cause analysis in minutes, not weeks
Agents that read maintenance reports and technician notes alongside MES data to explain why lines stop.
A European manufacturing operationProblem statement
What the client was up against
When a line failed, engineers spent weeks reading maintenance reports, technician notes and MES exports to find out why. Data stewards spent most of their time cleaning data instead of using it.
Our approach
How we approached it
- Connected MES and KPI data with maintenance documents
- Trained agents on the plant's failure vocabulary
- Linked every finding to the source report
Solution we created
What we built
An EXTRCT system that fuses structured plant data with unstructured maintenance records and gives a cited root cause in plain language.
Agents in the system
The multi agent team behind it
SourcesMES, maintenance management system, KPI store
Reader agentExtracts facts from reports and notes
Pattern agentFinds recurring failure signatures
Root cause agentExplains the most likely cause with evidence
People decideReview, approve and act
Reader agentExtracts facts from reports and notes
Pattern agentFinds recurring failure signatures
Root cause agentExplains the most likely cause with evidence
MESmaintenance management systemKPI store
Results
What changed in the numbers
3 weeks to 3 mintime to root cause
+70%data steward productivity
Measured in the client's live deployment.
Client names, detailed case studies, demos and references can be shared on request.
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