Dataracity
Power BI · AI / Copilot Integration

Power BI Copilot is only as smart as your semantic model.

Copilot doesn't understand your business on its own—it learns from your semantic model. We prepare your model so Copilot produces accurate summaries, answers, and report suggestions.

Copilot over a raw model"amt_2" and "flag_x" mean nothing to it. It guesses, phrases the guess fluently, and someone quotes it in a meeting.
Copilot over a prepared modelDescribed tables, synonyms, verified answers for the questions that matter — grounded responses people can check.
The work

Most of a Copilot rollout is model preparation

Turning the feature on takes an afternoon. Making it trustworthy is data work — the same work that makes reports trustworthy, which is why it pays off twice.

Describe the model for a reader

Business-language names, descriptions on tables and measures, and synonyms for the terms people actually use. Copilot reads exactly this.

Verified answers for key questions

The questions leadership asks most get curated, verified responses — so the highest-stakes queries are the least improvised ones.

Security that carries over

Copilot respects row-level security — answers scope to what the asker may see. We test that boundary explicitly before rollout.

Capacity & rollout control

Copilot consumes Fabric capacity. We enable it workspace by workspace, watch the meter, and train users on what to trust — and what to verify.

Next step

Start with a Copilot-readiness review of one model.

We'll show you what Copilot sees in your semantic model today — that usually settles whether to prepare first or enable first.