PM and CMMS content
Task lists, job plans, intervals, routes, craft, duration, triggers and asset assignment.
AI-powered Maintenance Strategy
Stop paying for PMs that prevent nothing.
AI exposes the waste and the gaps. An engineer turns it into CMMS-ready changes.
Inputs
Bring together the strategy, the failure knowledge and what the plant has learned.
A PM plan should reflect real duty, not the document it was copied from.
Risk and modes
Functions, functional failures, modes, mechanisms, consequences, criticality and existing controls.
History and constraints
Failures, findings, task effectiveness, OEM guidance, standards, operating context and resource constraints.
AI-connected rationale
Make every task answer for the risk it controls.
Each task linked to its failure mode, consequence and evidence. Unsupported intervals become obvious.
FunctionFailure modeConsequenceControlTaskFrequencyEvidence
FunctionDeliver required flow at operating duty
ModeBearing degrades before functional failure
EffectVibration and temperature increase
ControlOn-condition vibration route
RationaleInterval set below observed P–F window
Workflow
From thousands of PM lines to a justified maintenance package.
Target one system, one asset class, or whatever a case already flagged.
AI maps coverage
Link existing tasks to assets, functions, modes and consequences.
Find gaps and waste
Expose uncovered risk, duplication, vague tasks and unsupported intervals.
Optimize content
Define the right control, method, acceptance criteria and frequency.
Engineer review
Validate technical feasibility, risk coverage and operating constraints.
Package for CMMS
Deliver structured add, delete, merge and change recommendations.
Deliverables
Engineering rationale and implementation-ready content.
From review to execution, without losing why each change was made.
- Failure-mode-to-task coverage matrix
- Task register with method and acceptance criteria
- Frequency and trigger recommendations with rationale
- Add, delete, merge and modify decisions
- Data-gap and implementation dependency register
- Structured CMMS-ready change package
What remains connected
The strategy remains connected to the evidence that shaped it.
The reviewed rationale stays in Factory Brain. When reality changes, you update instead of rebuilding.
- Functions and failure modes
- Risk and consequence links
- Task-control relationships
- Frequency rationale
- Source evidence and assumptions
- Approval and change history
Human validation
Recommendations become operational only after engineering review.
We prepare the change package. Safety, compliance and CMMS execution stay with your team.
R//Safe
Never trains a public model
Source-linked outputs
Engineer-validated
You keep the knowledge
Reduce maintenance waste
Spend less on ineffective work. Protect the risks that matter.
Start with one system, one asset class, or one recommendation.
Review a strategy scope