Assess the documents, records, permissions, and freshness needed to answer a defined set of business questions.
Connect approved sources through Azure AI Search and suitable Microsoft services. Test retrieval quality, source citations, missing information, and access boundaries before embedding answers in a workflow.
A source inventory, retrieval design, evaluation set, integration plan, and clear ownership for keeping the information current. Deliverables, timing, and support are agreed for the engagement.
We compare quality, current effort, implementation costs, and ongoing operation before recommending expansion. Important actions retain agreed approvals and a recovery path. Explore our related service, Microsoft technology stack, and delivery methodology, or discuss your workflow with WTA.
A source inventory, retrieval design, evaluation set, integration plan, and clear ownership for keeping the information current. The scope defines ownership, prerequisites, and acceptance criteria before delivery begins.
We agree on approved data, user permissions, and tool access before implementation. Important changes retain human approval where needed. Testing covers unusual requests, failed integrations, recovery, and attempts to exceed permissions. The business and technical owners remain responsible for the deployed workflow.
Compare pilot evidence with the current process and agreed acceptance measures. Review task quality, completion time, errors, and the full cost of operation, including human review and support. Expand only when results justify it, with clear ownership and a practical recovery plan.
.svg){kind=small}
.png)
