AIO Dashboard — 2026-06-25
The AI-in-One (AIO) Dashboard is a Power BI report that brings Microsoft Copilot, Copilot Chat, and Agent adoption signals together into a single, fast-loading view — built to help AI and business leaders track adoption, optimize licensing, and plan enablement.
This is our first packaged GitHub release. The dashboard ships in two editions, both built on the same pre-processed "rollup" file format and showing the exact same pages, visuals, and numbers. They differ only in where they read input files from and whether the Power BI Service can refresh them on a schedule.
📦 What's in this release
| Asset | What it is |
|---|---|
| AIO Dashboard - Rollup Edition - 2026-06-25.pbit | The 3-in-1 (auto-detect) edition — reads input files from a local path, SharePoint, or OneLake/Fabric, auto-detected per parameter. Best for Power BI Desktop analysis and manual refresh. |
| AIO Dashboard - Rollup Edition - PBI-SharePoint - 2026-06-25.pbit | The SharePoint-only edition — reads inputs from SharePoint URLs only and supports automatic scheduled refresh in the Power BI Service (no Gateway required). |
| AIO Dashboard - Interpretation Guide.pdf | A guide to reading and interpreting the dashboard's pages and metrics. |
| AIO Dashboard - Storyboard.pptx | A storyboard deck that walks through the dashboard's narrative and key views. |
Not sure which edition to pick? Use the PBI-SharePoint edition if you want the report to refresh itself on a schedule in the Power BI Service and your files live on SharePoint. Use the 3-in-1 edition for everything else (Desktop analysis, local files, or OneLake/Fabric).
🔍 What it shows
- Active Copilot users and interaction volume over time
- Surface breakdown — which apps (Teams, Word, Outlook, BizChat, and more) users engage with
- Agent adoption — which agents are used, by how many users, on which surfaces
- AI model distribution across interactions
- Licensed vs. unlicensed Copilot usage patterns
- Session depth and prompt volume per user cohort
- Third-party and custom AI app usage alongside M365 Copilot
⚡ Why it's fast
All of the heavy data preparation happens once, upstream — before Power BI ever opens the file — typically delivering an 80%+ reduction in load times versus earlier versions, with reliable refresh even on large tenants.
▶️ Getting started
- Download the edition that fits your scenario (see the table above).
- Produce your input files with PAX using the
-Rollupswitch — or use the standalone processor in the repository'sscripts/folder. - Open the
.pbitin Power BI Desktop, fill in the three parameters, and click Load.
Full setup, scheduled-refresh, and troubleshooting instructions are in the repository README.
Note: These templates require pre-processed rollup files produced by PAX (or the standalone processor). They cannot read raw Microsoft Purview or Entra exports directly.