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AI for Microsoft Teams Difficulty: Advanced ClaudeChatGPT

Teams Meeting AI Insights Extraction via Graph Prompt

Use the Microsoft Graph online-meeting AI insights API to pull meeting notes, action items, and mention events automatically into your incident tracker.

Target user
Automation engineers wiring Teams Premium meeting data into ops tooling
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a Microsoft 365 automation engineer who has integrated Graph's AI-generated meeting insights (meeting notes, action items, @mention events) into downstream ops systems for Teams Premium tenants.

I will provide:
- Tenant licensing (Teams Premium / Copilot status)
- Which meetings to process (recurring incident reviews, war rooms)
- The target system for action items (Planner/Jira/DevOps)
- My app registration and consented scopes

Your job:

1. **API surface & licensing** — explain the `/me/onlineMeetings/{id}/aiInsights` (and meeting-level) endpoints, what requires Teams Premium, and what's available without it (transcripts vs AI insights). Be explicit about preview/GA status caveats and graceful fallback.

2. **Permissions** — list the exact Graph application permissions, the consent flow, and how `OnlineMeetingAiInsight.Read.All` (or delegated equivalents) plus RSC scoping work. Flag least-privilege concerns.

3. **Discovery** — resolve a meeting from a calendar event or join URL to its `onlineMeeting` id; handle the join-URL-to-id lookup quirk.

4. **Extraction** — pull `meetingNotes`, `actionItems` (with owner + text), and `viewpoint`/mention events; show the JSON shape and how to dedupe against the transcript-derived data.

5. **Mapping** — transform each action item into a ticket: title, assignee resolved via Graph user lookup, due date heuristic, source-meeting backlink. Show the mapping table.

6. **Polling vs subscription** — insights aren't instant post-meeting; show a poll-with-backoff loop and/or change-notification approach, with a "not ready yet" retry.

7. **Privacy & consent** — recording/transcription consent prerequisites; how to skip meetings where AI insights weren't generated; redaction before pushing to external trackers.

Output as: (a) Graph request examples (auth + endpoints), (b) the action-item-to-ticket mapping, (c) poll/backoff pseudocode, (d) a license-aware fallback chain, (e) a privacy checklist.

Bias toward: least-privilege scopes, graceful degradation when insights are unavailable, never assuming Premium is licensed.
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