Agents & workflows / PROPOSED CONCEPT
Maintenance evidence agent.
Asset evidence assembly. Anomaly context review.
The opportunity
A real need.
A considered response.
An anomaly becomes actionable only when operating conditions, maintenance history and failure evidence can be examined together. An agent can prepare an investigation without pretending to know the failure cause.
DESIGNED AROUND
Reliability engineers and maintenance planners.
What would this look like for you?
Ask the architect to connect this concept to your systems, or challenge its assumptions.
The experience
What this could make possible.
Anomaly context review
Runbook-linked inspection plans
Planner approval queue
01
Validate the alert
→02
Read asset history
→03
Prepare competing explanations
→04
Review the inspection plan
Under the surface
The engineering
behind the experience.
Architecture is a starting hypothesis. Discovery and representative tests decide what belongs in the first build.
POTENTIAL CONNECTIONSHistorianCMMSAsset registerApproved maintenance manuals
01Architecture to explore+
- Time-series quality checks and baseline detectors
- CMMS and runbook retrieval
- Evidence-linked hypothesis generation
- Read-only tooling and work-order approval
02Integration dependencies+
Historian, CMMS, Asset register, Approved maintenance manuals. Confirm access, data ownership, update frequency and failure behaviour during discovery.
03Validation and human control+
Check missed events, false alarms, unsupported root-cause claims and inspection usefulness. No automatic machine control, safety bypasses or assurance that equipment is safe to run.
A useful first step
Start small.
Learn something real.
One asset class and historical events with confirmed inspection outcomes.
Evidence to look for
Check missed events, false alarms, unsupported root-cause claims and inspection usefulness.
A boundary to design for
No automatic machine control, safety bypasses or assurance that equipment is safe to run.
Proposed scope, not a delivery commitment. Data, permissions, operational constraints and sector requirements need review before implementation.
Connected capabilities
AI Agents & Workflow AutomationKnowledge & Document AIBackend, API & Integration EngineeringResearch behind the direction
NISTMaintenance costs and advanced maintenance techniques ↗AnthropicBuilding effective agents ↗AnthropicDemystifying evals for AI agents ↗These sources inform technical possibilities. They do not demonstrate a Tomatrix deployment or endorse this proposed product.
From possibility to a conversation
Make this
your starting point.
Add a little context. Preview a practical brief, then keep it for a conversation with Tomatrix.
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Preview your concept brief
PRODUCT EXPLORATION: Maintenance evidence agent Status: Proposed concept — scope and feasibility to be agreed. Our context: To be discussed. Who this could help: Reliability engineers and maintenance planners. A useful first pilot: One asset class and historical events with confirmed inspection outcomes. What to evaluate: Check missed events, false alarms, unsupported root-cause claims and inspection usefulness. Important boundary: No automatic machine control, safety bypasses or assurance that equipment is safe to run. Integrations to explore: Historian, CMMS, Asset register, Approved maintenance manuals Concept reference: /products/maintenance-triage
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