AndonEAM automates your entire RCM analysis — from asset documentation to approved maintenance strategies — in hours, not months.
Experience & Scale
Explore a real RCM analysis workflow, then select the plan that scales with your ambition.
Initiate a fresh RCM study. You can add technical documentation and define the study scope in the next step.
RECENT DRAFTS & AI TASKS
For reliability teams scaling AI across their critical asset portfolio.
The Problem
Engineering teams spend months manually reviewing documents, interviewing experts, and filling spreadsheets — only to produce strategies that are already outdated by the time they're approved.
AndonEAM changes everything. Feed in your asset documentation. Get a complete, expert-validated RCM strategy in hours.
Learn MoreWhy AndonEAM
Everything your reliability team needs. Nothing it doesn't.
Ingest manuals and P&IDs to generate comprehensive Reliability Centered Maintenance strategies in mere moments.
Learn moreReal-time telemetry and predictive AI converge to give you an unprecedented pulse on every machine.
Learn moreTurn insights into flawless execution with dynamically generated, continuously optimized maintenance schedules.
Learn moreEverything you need to know about AndonEAM before getting started.
Most analyses that traditionally take 3–6 months of workshops complete in 4–8 hours with AndonEAM. The AI ingests your documentation, generates FMEA and maintenance strategies overnight, and your engineers review and approve — not build from scratch.
No. AndonEAM uses a foundation model pre-trained on millions of equipment records, failure modes, and maintenance standards across industries. You simply upload your asset documentation — manuals, P&IDs, maintenance history — and the AI adapts its analysis to your specific context automatically.
Absolutely. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your documents and analysis outputs are isolated to your tenant and never used to train shared models.
Yes. Approved maintenance strategies are automatically exported as structured work orders compatible with leading CMMS platforms including SAP PM, Maximo, Infor EAM, and Oracle eAM. We also offer a REST API and webhook support for custom integrations.
AndonEAM accepts PDF, Word (.docx), Excel (.xlsx), images of P&IDs, and plain text files. The AI can parse scanned documents via OCR, structured datasheets, and unstructured maintenance logs. There is no required template — upload what you already have.
Your engineers do. Every AI output goes through a Human-in-the-Loop review stage before any strategy is finalized. Engineers can edit individual failure modes, task types, intervals, and rationale. Nothing advances to an approved state without explicit sign-off from a qualified reviewer.