The problem

“Managers wait for analysts for every question.”

Deliverables

  • Semantic model prepared for AI: naming, descriptions, security
  • Plain-language assistant for one business domain
  • Reference questions and answer reliability tests
  • Proof-of-concept review and recommendations

How it works

  1. Pick the domain

    Real questions, asked by real users.

  2. Prepare the model

    Naming, descriptions and metric definitions AI can read.

  3. Build the assistant

    A Fabric data agent, Copilot or an LLM connected to the semantic model.

  4. Test and decide

    Answers checked against the certified numbers, then a decision to scale or not.

Contact

What if your managers could just ask?

Let's pick the domain where a proof of concept will have the most impact.