Microsoft AI and Copilot
Real value from Power BI Copilot and Fabric AI. We prepare your semantic model so plain-English questions return answers your team can actually trust.
Why it matters
Copilot is only as good as the model it sits on
Most of the work in making Copilot useful is not in the tool - it is in the semantic model underneath it. An unprepared model gives confident wrong answers. Skip this and the first confident wrong answer loses trust for good.
When the model is right - clear names, described measures, correct relationships, row-level security - people can ask in plain English and act on the answer without queuing for a report.
That is the outcome: plain-English answers your team can rely on.
Without model preparation
- Copilot picks the wrong measure
- Answers look right but are not
- Trust is lost quickly and hard to rebuild
- Team reverts to manual reports
With proper model preparation
- Plain-English questions return trusted answers
- Every query resolves to the same governed measure
- Team adopts Copilot and uses it daily
- Reports on demand, without waiting
What we do
Getting your model ready for Copilot
Five steps, done in the right order, so Copilot returns answers you can act on.
01
Model review
We assess your current semantic model against Copilot readiness criteria.
02
Naming and descriptions
Measures, columns and tables named clearly with synonyms and descriptions Copilot can use.
03
Switch on and configure
Copilot and Fabric AI features enabled with guardrails set for reliable answers.
04
Governance and security
Row-level security and access controls reviewed and applied.
05
Training and adoption
Your team trained on how to use Copilot well - and what to check when they are not sure.
Also explore
Power BI Consulting
Governed Power BI delivery - semantic models, clear ownership, and structured adoption.
ServiceMicrosoft Fabric
The unified platform that powers Copilot AI for larger datasets and more complex queries.
AIAI-Ready Data Foundations
The data layer that must be right before Copilot will return answers you can trust.
ServiceAnalytics Acceleration Programme
The structured programme that governs delivery - and ensures Copilot adoption is built in, not bolted on.
BlogNatural language analytics and the model it needs
Why Copilot only works when the semantic model underneath is right.
ToolAI Data Readiness Checker
8 questions to find out whether your data is ready for AI - and what to do if it is not.
Common questions
Questions about Copilot
Can we just switch Copilot on?
You can, but on an unprepared model it gives confident wrong answers - and once your team gets a wrong answer from Copilot, they stop trusting it. That trust is very hard to rebuild. The work is in preparing the model, not flipping the switch.
Do we need Fabric for this?
Power BI Copilot works without Fabric. Fabric adds more - particularly for more complex queries, larger datasets and the full Microsoft AI feature set. We will tell you which applies to your situation.
How do we stop it giving wrong answers?
Clear naming, documented measures, proper relationships, governance, guardrails and training. The model needs to be unambiguous - if there are multiple ways to interpret a question, Copilot will pick one, and it may not be the right one. We make the model explicit so there is only one right answer.
How long does it take to get Copilot working properly?
It depends on the state of your current semantic model. If you have a well-structured model already, it can be a matter of weeks. If the model needs significant work - naming, documentation, measures, relationships - it takes longer. We assess your model and give you a realistic timeline on the first call.
Get your model ready for Copilot
Book a free analytics audit. We will assess your current semantic model and tell you honestly what needs to change before Copilot will work as intended.
Book a free analytics audit