RCM analysis that used to take months. Now done in hours.
AndonEAM's state-of-the-art AI model ingests your unstructured asset documentation and outputs a complete, ISO-14224-compliant Reliability Centered Maintenance strategy — before your next morning standup.
The Problem
Every reliability engineer knows this feeling: you have done everything right — the workshops, the analysis, the documentation — and still end up with a strategy that took six months to build and is already outdated by the time it is deployed. The methodology is sound. The process around it deserves better.
External consultants, workshop logistics, and months of senior engineering time — before a single strategy is approved.
3–6 months is the industry norm for a single critical asset class.
External facilitators, workshop logistics, and senior engineering time compound fast.
Thousands of rows, no version control, no single source of truth — and no way to scale.
Asset modifications and new failure data accumulate faster than any document can reflect.
How It Works
AndonEAM is engineered to remove every point of friction between raw engineering data and an executed, optimized maintenance programme.
Drop in your manufacturer manuals, P&IDs, historical maintenance logs, and datasheets. AndonEAM accepts PDF, DOCX, XLSX, scanned images, and plain text. No templates. No reformatting required.
Powered by state-of-the-art AI and tailored with millions of engineering records, our proprietary engine transforms fragmented maintenance data into a dynamic asset ontology. It automatically reads, understands, and structures equipment hierarchies, component functions, and historical failure modes—turning static records into proactive reliability strategies.
The AI applies ISO 14224 and SAE JA1011 methodology to generate a complete Failure Modes and Effects Analysis matrix, with task type, interval, and maintenance rationale for every single failure mode. Fully cited.
Accelerate validation with a purpose-built, card-based approval UI. We’ve turned complex human-in-the-loop workflows into a frictionless experience where your engineers can rapidly review, edit, or approve outputs.
Approved strategies push directly to SAP PM, IBM Maximo, Hexagon EAM, or your custom system via REST API — as structured, ready-to-execute work orders with parts lists attached.
Capabilities
Parses completely unstructured engineering documents — including scanned P&IDs and handwritten maintenance logs — with industry-leading OCR and semantic understanding.
Our AI doesn't just retrieve data; it synthesizes it like a reliability engineer. By grounding our models in strict RCM principles and your historical operating context, we actively minimize hallucinations. The result is technically sound, highly accurate failure mode generation that makes sense to your experts.
Enforces ISO 14224 and SAE JA1011 methodology at every step. No configuration required.
Nothing advances without your engineers' explicit sign-off. Review entire failure matrices, edit individual task intervals, challenge AI reasoning, and approve with a full audit trail that's export-ready for regulators.
Built For
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Join engineering teams transforming their reliability programs with AndonEAM. No consultants. No integration project. Just results.