AI on your data
Ask the question in plain language. Get the right number.
AI is only as good as your data. We prepare your governed semantic models so AI answers them correctly, then run focused proofs of concept: a plain-language assistant for one domain, agents for repetitive tasks. You see what works before investing further.
Sound familiar?
- “Our managers wait for analysts for every question.”
- “Copilot answers, but we don't know if its numbers are right.”
- “We want AI, but our data isn't ready.”
- “Our teams spend hours on exports, documentation and repetitive checks.”
- “We don't know where to start without launching a big project.”
AI on your data
What we deliver
AI-ready models
Governed semantic models, named and documented, so Copilot, Fabric data agents or an LLM query them correctly.
A plain-language assistant (proof of concept)
For one business domain, with a set of reference questions and answers checked against the certified numbers.
Agents for data tasks
Exports, quality checks, documentation and releases automated, with human validation.
AI-assisted BI development
Reports and models (PBIR, TMDL) generated and reviewed with agents, within your standards.
AI on your data
How we work
Pick the right use case
One domain, real questions, a clear success criterion.
Prepare the model
Naming, descriptions, metric definitions and security: AI only sees what it should see.
Build the proof of concept
A working assistant or agent in a few weeks.
Test the answers
A set of reference questions, checked against the certified numbers, before anything reaches users.
Decide
Scale up, adjust or stop, based on measured results.
- Typical durations
- Talk to your data (proof of concept)2 to 3 weeks
- Data Agents1 to 3 weeks per use case
- Data & AI Assessment2 weeks
- Technologies
- Fabric data agents
- Copilot for Power BI
- LLM
- Power BI semantic models
- TMDL / PBIR
- AI agents
AI on your data
Demo on request
See an assistant answer business questions on a governed model.
Request a demoAI on your data
Related services
- Build
Talk to your dataDemo in progress
A plain-language assistant for one business domain, on a governed model, with tested answers.
Typical duration :2 to 3 weeks (proof of concept) - Build
Data Agents
Agents for exports, quality checks, documentation and releases.
Typical duration :1 to 3 weeks per use case - Assess
Data & AI Assessment
In two weeks, a clear picture of where you stand and a costed roadmap.
Typical duration :2 weeksWhere to start
AI on your data
Frequently asked questions
Why start with a proof of concept?
Because answer quality depends on your data and your questions. A 2- to 3-week proof of concept on one domain shows concretely what AI does well, what it does badly, and what to fix before going further.
How do we know the answers are right?
We build, with your teams, a set of reference questions and their expected answers, taken from the certified numbers. Every version of the assistant is tested against it before use.
Does our data go to a third party?
We favour services built into your environment, such as Microsoft Fabric and Copilot, and rely on the security already in place on your models. The tool is chosen with your security teams.
Do you train custom AI models?
No. We connect existing AI models to your governed data and automate tasks with agents. For custom data science, we will point you to specialists.
Do we need Microsoft Fabric?
It is not required, but Fabric data agents and Copilot are often the simplest route if your BI runs on Power BI. We can also connect an LLM to your semantic model.
Contact
Is your data ready for AI?
The assessment evaluates your AI maturity and identifies the first use case to test.