3:23Manufacturing
Machine Health Monitoring
Learns a baseline for each machine, flags anomalies in telemetry and explains them through a diagnostics assistant.
- Anomaly detection (Isolation Forest)
- Microsoft Copilot Studio
ML Model + assistant · Manufacturing · Asset operations
Machine Health Monitoring
Spot abnormal machine behaviour early and give maintenance teams the context to act.
Validated POC
Anomaly model and assistant tested on sample equipment telemetry.
Outcome
An anomaly detection model watches equipment telemetry. An assistant explains what changed and drafts a maintenance request for a planner to approve.
- Intended user
- Maintenance planners and reliability engineers.
- Status
- Validated POC
- Inputs
- Sensor and machine telemetry
- Asset register and maintenance history
- Normal operating ranges per asset
Workflow
Today, and with the agent.
Current workflow
- Telemetry sits in historians and spreadsheets
- Problems are found when something breaks
- Work orders are raised by hand after the event
Assisted workflow
- Abnormal readings are flagged as they appear
- Planners see what changed and why it matters
- A draft work order is ready for approval
Capabilities
What the agent does.
- Learns normal operating patterns for each asset
- Flags readings that drift from those patterns
- Explains the change in plain language in Microsoft Copilot Studio
- Drafts a work order for the maintenance system
What it does not do
- Stop, start or change settings on equipment
- Write to the maintenance system without planner approval
- Replace safety systems or alarms already in place
Architecture
How information moves.
Inputs are read with scoped access. The agent prepares the work. A person decides before anything is written back.
Inputs
Sensor and machine telemetry
Agent
Learns normal operating patterns for each asset
Human decision
Work order approval
Systems
Anomaly detection, Microsoft Copilot Studio
Human oversight
Where a person decides.
These decision points are part of the design, not an optional setting.
Work order approval
Maintenance planner
The write-back to the maintenance system is held until a planner approves it.
Threshold changes
Reliability engineer
Changes to what counts as abnormal are reviewed by an engineer.
Security, evaluation and deployment
Security controls
- Read-only connection to telemetry sources
- Approval control on maintenance system write-back
- Model and threshold changes logged
Evaluation measures
- Alerts confirmed as real by engineers
- Lead time between alert and failure on test data
- Draft work orders accepted without changes
Deployment options
- Client cloud account
- Edge plus cloud
- Managed service
Technologies
Built with, and connects to.
Tested means used in the proof of concept. Designed for means the connection is designed but not yet tested with live data.
Platforms
- CMMS write-backDesigned for
AI
- Anomaly detectionTested
- Microsoft Copilot StudioTested
Demo
See Machine Health Monitoring work.
From the POC Library
3:23FAQ
Common questions.
What data do you need to start?
Several months of telemetry for the assets in scope, plus their maintenance history. We assess data quality in the first sprint.
Does it control equipment?
No. It reads telemetry and drafts requests. People decide what happens on the floor.
Request an Agent Pilot
Pilot Machine Health Monitoring on your workflow.
Tell us about your systems and timeline. We will scope a pilot with agreed measures and the human decision points above.
More agents
Related agents.
Validated POC
Solution Accelerator
Chemical-Document Interpretation
- Problem
- Engineers read long documents to find a few values.
- How it works
- Reads chemical and technical documents, extracts the fields engineering and quality teams need and shows the source for every value.
- Industry fit
- Manufacturing · Quality & engineering
- Document AI