From notification to work order. Zero planner bottleneck.
AndonEAM bridges the gap between identifying a defect and executing the fix. Notifications and Defects are automatically converted into fully structured, ready-to-execute work orders — with operations, materials, and task descriptions pre-populated by AI.
The Problem
A defect is flagged, but the real delay is just beginning. Your planners are reliability experts, not search engines—yet they are forced into hours of manual administration. They spend their days hunting for equipment history, verifying parts, and writing work orders from scratch. While they dig for data, critical repairs stay stuck in the backlog.
Multiply by hundreds of notifications per week. Your most experienced planners are spending their days on data entry instead of engineering judgement.
The average notification sits in a planner's queue for 14–21 days before a work order is even created.
Missing materials, vague task descriptions, no safety procedures — technicians waste time figuring out what to do on-site.
Experienced planners are a scarce resource. Every hour spent on repetitive work order creation is an hour not spent on critical analysis.
When planning can't keep up with notifications, the backlog grows silently until it becomes a safety and compliance risk.
How It Works
AndonEAM is engineered to remove every point of friction between raw engineering data and an executed, optimized maintenance programme.
A technician, operator, or monitoring system identifies a defect and raises a notification. It could be a condition-based alert, an inspection finding, or a manual observation — AndonEAM captures them all.
The AI reads the notification context — equipment type, failure mode, historical maintenance records, and manufacturer documentation — to determine exactly what work needs to be done, what parts are needed, and what safety procedures apply.
A fully structured work order is generated with pre-populated operations, task descriptions, estimated durations, required materials with stock availability, and relevant safety/isolation procedures — ready for review.
Your maintenance planner reviews the AI-generated work order in a purpose-built approval interface. Every field is editable. The planner adds engineering judgement where needed, approves, and releases — in minutes instead of hours.
Approved work orders push directly into SAP PM, IBM Maximo, or your target CMMS as native, structured records — with operations, materials, safety notices, and cost estimates pre-populated and audit-ready.
Capabilities
AI reads the notification, cross-references equipment history, manufacturer documentation, and your maintenance library to auto-generate complete work orders with operations, materials, duration estimates, and safety procedures.
Automatically identifies required spare parts from equipment BOMs and checks real-time stock availability before the work order is released.
Approved work orders push directly to SAP PM, IBM Maximo, Hexagon EAM, and Oracle eAM as native, structured records with full audit trails.
Every planner edit teaches the AI. When a planner adjusts a duration, adds a step, or swaps a material, the model learns — improving future work order accuracy for that equipment class with every approval cycle.
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Join engineering teams transforming their reliability programs with AndonEAM. No consultants. No integration project. Just results.