AI Guided Troubleshooting
About the Product
Functionality
- Real-time alarm code interpretation
- Pattern matching across historical resolution data
- Automatic retrieval of relevant maintenance procedures
- Step-by-step resolution guidance with equipment-specific context
Use Cases
Line 3 throws error E401 - AI retrieves last 8 similar cases, identifies loose sensor cable as root cause in 6 of them, provides cable inspection checklist
New maintenance technician faces unfamiliar alarm - AI walks them through the exact sequence a senior tech used to resolve it last month
Integration Requirements
- Machine data feed via OPC UA, MQTT, or REST API for alarm codes
- Access to equipment documentation repository (PDFs, manuals)
- Optional: ERP/CMMS integration (e.g., SAP, Infor EAM, IBM Maximo)
Typical challenges
- Machine downtime is extended because technicians waste time searching through manuals and previous tickets
- Junior technicians depend entirely on senior experts for troubleshooting, creating bottlenecks during critical failures
- Inconsistent troubleshooting approaches across shifts lead to recurring issues and inefficient problem resolution
- Tribal knowledge from experienced operators is lost when they retire or leave, taking years of expertise with them
Business impact
- 60% faster mean time to resolution (MTTR)
- Reduced dependency on senior technicians for common issues
- Consistent troubleshooting approach across shifts
Purchase Product
Contact us to learn more about deployment options and how to purchase this product.
CONTACT USProduct Specs
Created:
February 14, 2026
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Product features
Diagnoses production issues by analyzing machine alarms against historical patterns, maintenance records, and equipment documentation to recommend proven solutions.
Real-time alarm code interpretation
Automatic retrieval of relevant maintenance procedures
Pattern matching across historical resolution data
Step-by-step resolution guidance with equipment-specific context