Conversational reporting
Make room for better questions about your data.
Prepare reporting models and business definitions for supported Copilot questions and summaries.
Discuss your projectCopilot readiness · Semantic models · Answer validation
START WITH THE REAL PROBLEM
A useful outcome.
A clear way to get there.
An everyday question can hide several different meanings. “How are we doing?” needs an agreed period, measure, comparison, and audience. A useful conversational reporting project starts with those definitions and tests the answers.
What we can build together
- A readiness review of your environment, access, data model, and reporting questions.
- Clearer measure names, business definitions, and model preparation for supported AI features.
- A set of representative questions and checks against the underlying reports.
AN EXAMPLE OF THE WORK
A team might ask which programs changed most compared with last quarter, then review the relevant measures and supporting records. This is an example of a potential workflow, not a promise of an available feature in every environment.
Illustrative scenario, not a client case study.Bring the question. We’ll plan the work.
Bring a few questions people ask repeatedly, the reports that should answer them, and an administrator who can confirm licensing and tenant settings. We review whether the requested experience is supported before proposing a build.