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.

1. Ingest sensor data

Collects real-time equipment data and historical logs to monitor asset health continuously.

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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.

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AI Agent

Benefit: Detects anomaly & degradation to prevent failures through early warning signals.

Predicts equipment failure using regression and survival models.

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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.

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AI Agent

Benefit: Notifies planner to streamline repair workflows and ensures spare part readiness.

KPIs

Opportunity to impact key functional area KPIs

How Microsoft Copilot can help improve product time to market

Use Copilot capture customer needs and then support coordination of product development activities.
Boost productivity
  • Rapidly find information
  • Diagnose problems faster
  • Check for similar issues and resolutions
  • Quickly send follow-up communications

How Microsoft Copilot can help employee turnover rates

Retain critical plant and headquarters staff by improving the work/life balance of all workers by simplifying overhead tasks. Improve skilling to provide more growth opportunities and increase internal hiring.​
Improve quality of internal materials and processes
  • Improve job descriptions for further role clarity
  • Improve company meetings with summarization and recap
  • Completely focus during the meeting

How Microsoft Copilot can help customer satisfaction

Improve customer service performance with tailored LLMs for higher first-time call resolution. Improve customer communications whether through improved writing or improved call scripts.​
Incorporate feedback
  • Rapidly analyze customer feedback
  • Quickly create recommendations
  • Swiftly update scripts and processes
  • Create communications to socialize the changes

How Microsoft Copilot can help minimize scrap rate

Quickly identify quality issues by accessing and analyzing quality logs. Reduce the cost of any recall programs that are required with effective management and tailored responses.​
Speed problem resolution​
  • Rapidly find information​
  • Diagnose problems faster​
  • Check for similar issues and resolutions​
  • Quickly send follow-up communications​

How Microsoft Copilot can help supply chain performance

Use AI to generate evaluation criteria for new materials and suppliers. Review contracts to make the most effective deals and use AI analysis to evaluate supplier performance.
Speed data analysis and reporting​
  • Quickly analyze trends​
  • Generate informative charts​
  • Create strategy presentations ​

How Microsoft Copilot can help minimize production downtime

Use Copilot to analyze information from manufacturers apps to predict and prevent equipment failures, manage inventory levels and identify training that can help staff keep machines operating. 
Speed problem resolution​
  • Rapidly find information​
  • Diagnose problems faster​
  • Check for similar issues and resolutions​
  • Quickly send follow-up communications​

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.