Explore the AI Delivery Dashboard prototype
AI Delivery Dashboard is an interactive prototype for exploring how a team might manage AI work. It uses built-in synthetic records. This guide helps you evaluate the interface and workflow without interpreting the sample numbers as customer results.
Start with the operating overview
Open the prototype and choose Overview. Inspect the adoption, review, and delivery indicators together. Ask whether this arrangement would help your team decide what needs attention. The role selector changes a demonstration perspective; it is not a production access-control system.
Inspect adoption and review work
Select AI adoption to explore the sample usage and team signals. Then move to Governance and inspect the review records. Try a simulated review decision and consider whether the displayed ownership and status give you enough context. These interactions affect the demo in your browser; they do not approve a real business action.
Connect delivery to reporting
Choose Delivery to review sample initiative health and milestones. In Reporting, compare the summary with the operating information you have just explored. Consider which additional context a real team would need before relying on such a report.
Understand the current boundary
The prototype does not call AI models, connect to Microsoft Foundry, authenticate customer tenants, or store customer records. It demonstrates the management of AI work rather than generating AI output. Planned product capabilities are described separately from the current demo.
Open the synthetic-data prototype
Read current capabilities, limitations, and product updates
Useful feedback describes a specific decision, missing input, or workflow step. Include your role and the question you were trying to answer when contacting us. Do not include customer records or confidential information.