Available with: Microsoft Copilot Studio
Manufacturing scenario: Maintenance prediction agent
Scenario
Use Copilot Studio to create a maintenance prediction agent
Predicts equipment failures in advance by analyzing sensor data and machine logs to enable proactive maintenance and reduce unplanned downtime.
Collects real-time equipment data and historical logs to monitor asset health continuously.

AI Agent
Benefit: Ingests sensor data to enable early pattern detection across machines.
Applies statistical and AI models to detect early signs of equipment wear and tear.

AI Agent
Benefit: Detects anomaly & degradation to prevent failures through early warning signals.
Predicts equipment failure using regression and survival models.

AI Agent
Benefit: Forecasts equipment failure to improve machine uptime and avoids unplanned repairs.
Automatically notifies planners about equipment maintenance need tasks with spare part and timing recommendations.

AI Agent
Benefit: Notifies planner to streamline repair workflows and ensures spare part readiness.
1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.
2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.
3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
What's next
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