The documented Work IQ architecture is centered on reasoning over Microsoft 365 data and context, not on documented native direct connectors to Jira, Confluence, ServiceNow, or GitHub.
Supported data called out for Work IQ includes:
- Email messages
- Meetings and calendar data
- Documents in OneDrive and SharePoint
- Microsoft Teams messages
- People and organizational context
- Microsoft Planner plans
- Enterprise search results
What is documented:
- Work IQ is a workplace intelligence layer that combines Microsoft 365 data with contextual understanding.
- It exposes access through A2A, MCP, and REST.
- Requests run in the context of the signed-in user.
- Access is permission-trimmed, policy-enforced, and remains within the Microsoft 365 trust boundary.
- Work IQ can also build semantic understanding across Microsoft 365 and external systems.
What is not documented in the provided material:
- Native Work IQ connectors for Jira, Confluence, ServiceNow, or GitHub
- A direct Work IQ-to-third-party connection model
- Whether third-party content is copied into Microsoft Graph
- Whether Work IQ stores indexes, metadata, or embeddings for third-party systems
- A documented RBAC mapping flow for Jira or Confluence permissions inside Work IQ
For storage, the only explicit statement provided is that Work IQ CLI says Work IQ doesn’t store Microsoft 365 data and retrieves information on-demand when queries are made. That statement is specific to Microsoft 365 data in that context. The provided material does not define storage or indexing behavior for third-party data.
For permissions and governance, the documented model is:
- Work IQ respects the signed-in user’s Microsoft 365 permissions.
- Actions are user-scoped.
- A policy engine evaluates requests using factors such as resource paths, request methods, user identity, and data content.
- Every tool invocation is logged and evaluated for auditability, analytics, rate limiting, and compliance enforcement.
The closest documented statement about external systems is that Work IQ “continuously builds a semantic understanding across Microsoft 365 and external systems,” but the provided material does not explain the ingestion architecture, connector model, storage location, or indexing mechanics for those external systems.
So, based on the available documentation, the safe conclusion is:
- Work IQ is clearly documented for Microsoft 365-grounded reasoning.
- External-system support is mentioned at a high level, but the implementation details for systems like Jira and Confluence are not described here.
- No supported conclusion can be made from the provided material about whether the architecture is connector-based into Microsoft 365, direct from Work IQ, or hybrid.
- No supported conclusion can be made here about where third-party data is stored or indexed.
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