Solutions
Conversational analytics
Plain-English questions on your Power BI or Fabric semantic model, with model prep, descriptions, security, and guardrails so answers match certified measures.
Path to trusted answers
Plain-English questions land on certified measures, not inventing numbers from a chat log.
Semantic model
Power BI or Fabric measures you already trust.
Descriptions & RLS
Naming, relationships, and who can see what.
Guarded Q&A
Refuse, cite, or escalate when the model is unsure.
Leader review
Pilot question patterns leadership actually asks.
What we build
- Model prep: naming, descriptions, relationships, measure clarity.
- Security: row-level security and role scopes.
- Guardrails: what the agent may answer, refuse, or escalate.
- A pilot set of question patterns leadership actually asks.
What it needs
A Power BI or Fabric semantic model (or a clear path to one), workspace access, and owners for certified measures. If the model is not ready, we say so and sequence that work first.
Next step
Start with an Assessment
Get a ranked Automation Opportunity Map of where AI pays off in your operations, then build the first wins.