AI in Business Intelligence Consulting: Making Copilot Answer From Numbers You Trust
Someone asked Copilot for last quarter's margin and got a confident answer that matched no report in the company. The AI was working as designed. The data model underneath it was not ready.
AI in business intelligence consulting is the work of getting the AI features in your BI platform to give correct, consistent answers: preparing the data model, switching on the right features, setting guardrails and testing the results with the people who will rely on them. Lightray Solutions does this for companies on Power BI and Microsoft Fabric, and Edward Pinela, MBA, does the work himself.
The features are real and useful. Copilot can summarize a report, answer a question about the numbers, draft a report page or write a DAX query. But Microsoft's own documentation warns that without preparation, Copilot can misinterpret the data and return generic or inaccurate results. Preparation is most of the job.
The first step is a free 30-minute strategy call; you hear back within 4 business hours. Projects are quoted at a fixed price after a short discovery.
What can AI in Power BI actually do today?
More than it could a year ago, and less than the demos suggest. Copilot in Power BI handles three jobs well: summarizing what a report shows, answering questions from a semantic model, and helping authors build pages and measures. Some experiences are generally available, others still in preview, and older AI features keep working alongside it. Here is the October 2026 picture from Microsoft Learn:
- Copilot pane on reports (generally available). Summarizes the open report and answers questions about it.
- Standalone Copilot and Copilot in apps (preview). Finds and answers questions across the reports and models a user can already access; app authors can add verified answers.
- Copilot for authors. Drafts report pages, writes DAX queries, adds a narrative summary visual and writes descriptions for measures.
- Anomaly detection and forecasting. Built into line charts through the Analytics pane; they flag unexpected spikes and dips on a single series over a continuous date axis.
- Q&A. The older natural-language box. Microsoft says it is going away in February 2027 and points users to Copilot.
Why does Copilot give wrong or generic answers?
Because it can only be as clear as the model it reads. Columns named Amt2, three measures that all look like revenue, no descriptions and no relationships leave Copilot guessing. Microsoft's answer is a feature set called Prep data for AI: an AI data schema that limits what Copilot looks at, verified answers tied to trigger phrases, and written AI instructions with business context.
Once a model passes testing, its owner can mark it Approved for Copilot, which removes the caution Microsoft applies to unapproved content in the standalone experience. The table lists the readiness checks we run before any of that, because each failure shows up as a wrong answer later.
| Check | What goes wrong without it | Fix |
|---|---|---|
| Plain, business names for tables, columns and measures | Copilot picks the wrong field or asks which one you meant | Rename in the model; hide technical columns |
| One definition per key figure | Two 'revenue' measures produce two different answers | Consolidate measures and document each in its description |
| Relationships and a proper date table | Totals by month, region or customer come back wrong or empty | Star-schema model with a marked date table |
| Row-level security tested | Users see summaries of data they should not see | Roles tested per user group before Copilot is switched on |
| AI instructions and verified answers | Generic answers that ignore your fiscal year or terminology | Prep data for AI, tested in the Copilot pane |
What licensing does AI in Power BI need?
Paid capacity, not just user licenses. Copilot requires the content to sit on Microsoft Fabric F2 or higher, or Power BI Premium P1 or higher; Microsoft states that a Pro or Premium Per User license alone is not sufficient, and trial capacities don't qualify. Your admin must also leave the Copilot tenant setting on, and the capacity must be in a supported region.
Copilot then consumes capacity units as people use it, billed by tokens, so a busy small capacity can slow other work. Which SKU to buy and how to keep the bill predictable is covered in detail on our Power BI Copilot licensing requirements page.
What does an AI-in-BI engagement include?
Five steps, run on one semantic model and one team first, so the result is measured before it spreads. All of it is remote, by video and inside your own Microsoft tenant, and the work stays with you as documented settings in the model.
- Readiness review. Naming, measures, relationships, row-level security and the capacity and tenant settings Copilot depends on.
- Model fixes. Clear names, one definition per measure, descriptions on every field a business user will ask about.
- Prep data for AI. The AI data schema, AI instructions in your vocabulary, and verified answers for the ten questions people ask most.
- A pilot with real questions. The team's own questions, answers checked against existing reports, misses fixed, then the model approved for Copilot.
- Guardrails. Who may use Copilot on which content, how capacity use is monitored, and what replaces any Q&A visuals before February 2027.
What does it cost to get started?
If you are still deciding whether AI belongs in your reporting at all, the AI Readiness Sprint is a short fixed-fee assessment, quoted per engagement. For hands-on Power BI work, Power BI Flex Support runs from $2,500 for 20 hours, at $100 to $125 an hour, and the hours never expire. Larger model rebuilds are quoted at a fixed price after discovery.
Power BI engagements come with a simple promise: if you aren't happy working with us during the first 4 hours, we refund you. Behind it are 20+ years of business and data work, 200+ delivered projects and a 4.9★ rating from Lightray's Google reviewers. For AI beyond reporting, such as document workflows or agents, see AI consulting; for Copilot across Word, Outlook and Teams, see Copilot rollout for small business.
Further reading: Microsoft Learn — Copilot for Power BI overview.
Want to know whether your Power BI data is ready for Copilot?
Book a free 30-minute call with Edward Pinela, MBA. You get an honest read on what to fix first — and if we are not the right fit, you will hear that on the call.
Frequently asked questions
We only have Power BI Pro licenses. Can we use Copilot?
Not on Pro alone. Microsoft requires the content to be on paid Fabric capacity at F2 or higher, or Premium P1 or higher. A small F2 capacity can be added for the workspaces where Copilot is wanted; the readiness work on the model is worth doing either way, because it also makes the reports clearer for people.
Will Copilot show people data they are not allowed to see?
Copilot works within each user's existing access: the standalone experience searches only items a person can already open, and app-scoped Copilot is limited to the app's content and the user's permissions. That makes your workspace roles and row-level security the real control, which is why we test them before switching Copilot on.
We use Q&A visuals today. What happens to them?
Microsoft says Q&A experiences go away in February 2027, and existing Q&A visuals will stop working. The replacement is Copilot, which needs capacity, or report pages and bookmarks designed around the questions people were typing. We inventory where Q&A is used and plan the switch.
How long does it take to get a model ready for Copilot?
For a single, reasonably built semantic model, the readiness review, fixes and a pilot usually take a few weeks of part-time work. A model with years of accumulated measures and no documentation takes longer. Discovery gives you the scope and a fixed quote before work starts.
You Won’t Get Handed Off to Junior Staff.
At most consulting firms, the senior person who sold you shows up for the kickoff — then you get handed to a team of juniors learning on your dime. That’s not how we work.
When you hire Lightray Solutions, you work directly with Edward Pinela, MBA — a principal consultant with 20+ years of experience across Power BI, web development, SEO, and CRM systems. Edward architects every engagement personally, stays involved through delivery, and answers his own phone.
Read Edward’s Full Bio“Mid-market companies deserve senior-level expertise without paying enterprise-agency prices. That’s the gap Lightray fills.”
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