internal-workiq-scoping

Scoping broad M365 retrieval queries requires bounding requests with explicit time windows, entity mappings, and source types. This process converts unstructured asks into actionable retrieval plans to minimize noise and prevent boundary breaches across meetings, chats, email, and SharePoint.

Preventing cross-customer data leakage during WorkIQ retrieval requires applying safety guardrails and boundary checks. Entity resolution against customer mappings ensures results are attributed correctly, maintaining strict compliance with data boundaries across M365 sources.

Two-pass discovery retrieval for SharePoint and OneDrive works by executing an initial discovery phase followed by deep retrieval. Applying explicit time boundaries and entity resolution during both phases ensures targeted, relevant results while avoiding unbounded access across content libraries.

Entity resolution with CRM integrations attributes M365 search results accurately by mapping retrieved items to specific customers. Applying vault or CRM mappings during retrieval planning ensures that communications across chats, meetings, and email are correctly associated with customer entities.

Unbounded WorkIQ requests across multiple workstreams often produce excessive noise and risk boundary breaches. Without explicit time windows, defined source types, and entity resolution, retrieval lacks the necessary constraints to generate targeted results from meetings, chats, and SharePoint.

Specifying time windows and source types is required to generate a WorkIQ retrieval plan. Bounding requests with explicit constraints for people, time, and M365 sources like email and SharePoint ensures the retrieval planning produces targeted, actionable results.