Available with: Copilot Studio
Information Technology scenario: Root cause analysis agent
Scenario
Using AI Agents to create a root cause analysis agent
Automatically identify root causes of IT issues and provide proactive solutions.
Connects to external IT platforms to access system data, logs, and tickets.

Copilot Studio Agent
Streamlines access to logs and tickets for faster root cause detection.
Collects and analyzes data real-time from various sources of the platforms (tickets, logs, monitoring tools).

Copilot Studio Agent
Accelerates troubleshooting by pulling and analyzing data in real time.
Detects and links related incidents across tools to uncover root event clusters.

Copilot Studio Agent
Uncovers hidden patterns by linking incidents across tools.
Provides ticket lifecycle updates and follows up with teams on open items.

Copilot Studio Agent
Enables quick resolution with suggested fixes and team follow-ups.
Uses AI to pinpoint the most probable cause of failure or disruption.

Copilot Studio Agent
Pinpoints the actual cause of failure with high accuracy.
Recommends specific resolution steps using knowledge base.

Copilot Studio Agent
Delivers actionable, knowledge-backed fixes to prevent recurrence.
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.
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