Available with: Copilot Studio
Customer Service scenario: Knowledge metadata agent
Scenario
Using AI Agents to create a knowledge metadata agent
Streamline knowledge management with automated document classification, metadata tagging, and version tracking.
Scans existing content structured and unstructured (e.g., SharePoint, CRM notes, ticket histories) to pick up topics, types, metadata, etc.

Copilot Studio Agent
Quickly identifies key topics, metadata, and content types across both structured and unstructured sources.
Automatically generates relevant metadata tags (e.g. topic, product, issue type, owner, version, creation date) that align to org taxonomy.

Copilot Studio Agent
Saves time by auto-tagging documents with consistent, taxonomy-aligned metadata.
Indexes metadata tags for easy and accurate retrieval.

Copilot Studio Agent
Enables fast, accurate document retrieval through smart indexing.
Tracks and compares document versions to avoid duplication.

Copilot Studio Agent
Prevents duplication by comparing document versions and surfacing the most current.
Continuously monitors and automatically updates version of documents and uses version control to make sure latest articles are used for search.

Copilot Studio Agent
Ensures users always access the latest versions by auto-updating tagged content.
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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