Copilot rollout that doesn't roll back.
Copilot expertise grounded in governance.
What buyers ask before they engage
Often paired with Copilot Consulting
Ready to enable Copilot without the rollback?
Capacity decision (Premium vs Fabric F64+)
Semantic model certification
Sensitivity label propagation
DAX assistance enablement for analyst teams
Tenant-level Copilot policy
Copilot in Fabric (notebooks, Warehouse, KQL)
Both ends of the BI AI stack
Governance before toggle
Capacity-aware, not capacity-pushy
Fabric-fluent for cross-workload Copilot
Start here when
Consider another path when
The person who owns this is not always the person who signs.
Copilot in Power BI requires a Power BI Premium capacity (P-sku) or a Microsoft Fabric capacity F64 or above. There's no per-user Copilot license. Practical floor: an F64 capacity is roughly $5,000 per month list price, so Copilot is gated to mid-market and enterprise. PPU ($24 per user per month) doesn't include Copilot in 2026.
Three core capabilities: (1) build a report or dashboard from a natural-language prompt; (2) explain or generate DAX measures; (3) answer ad-hoc questions about a semantic model in plain English. The DAX assistance is the productivity feature most analyst teams notice within a week.
What governance has to be in place before Copilot goes live?
Three things: a certified semantic model (so Copilot generates from a model that produces correct numbers), sensitivity label propagation (so restricted data doesn't surface to users who shouldn't see it), and a clear data classification scheme. Most enterprises that skip these roll Copilot back within 90 days.
Adopt now if you've Premium or Fabric F64+ AND the governance prerequisites in place. The DAX productivity gain is real and immediate. Wait if you would be enabling Copilot on an ungoverned semantic model , you'll spend more on rollback than on enablement.
P-sku Premium gets you Copilot in Power BI. Fabric F64+ adds Copilot across notebooks, Data Factory, and Real-Time Intelligence. We do the ROI math at your user count.
Copilot is only as good as the model it queries. We certify the top 10-20 semantic models, document measure definitions, and prepare them for natural-language Q&A.
Microsoft Information Protection labels need to flow from source to semantic model to Copilot output. We design the propagation so restricted data doesn't leak through Copilot.
The highest-ROI Copilot use case. We onboard analyst teams on Copilot for DAX writing and explaining, and measure the productivity lift.
Which workspaces enable Copilot, which audiences get natural-language Q&A, what gets logged, what gets blocked. The policy framework before the rollout.
If you're on Fabric, Copilot extends beyond Power BI. We enable the cross-workload Copilot pattern for data engineering, warehousing, and Real-Time Intelligence.
We ship Power BI Copilot AND Tableau Pulse. The decision framework is in our published comparison.
Most Copilot rollbacks happen at month two when oversharing surfaces. We ship the governance work before the Copilot UI gets enabled.
Sometimes the answer is 'wait until your governance is ready.' We say so. Your Microsoft seller probably won't.
Copilot in notebooks, Data Factory, Real-Time Intelligence. The full Fabric Copilot pattern is what makes the F-sku investment pencil out.
The capacity tier and OneLake architecture that gates Copilot enablement.
The Tableau equivalent. We ship both depending on your platform.
Power BI Copilot consulting: capacity decision (Premium P-sku vs Fabric F64+), semantic model certification, sensitivity label propagation, DAX productivity enablement. Governance before toggle.
Power BI Copilot consulting is the engagement-based work of enabling Copilot in Power BI (and the broader Copilot in Fabric stack) at enterprise scale. It covers capacity decision (Premium vs Fabric F64+), semantic model certification, sensitivity label propagation, tenant-level Copilot policy, DAX productivity enablement for analyst teams, and the governance work that prevents the 90-day rollback pattern.
Capacity decision (P-sku Premium vs Fabric F-sku) with ROI math.
A Microsoft sales motion. We don't take Microsoft commissions.
A capacity upsell. Sometimes the answer is wait until governance is ready.
Copilot reasons on your semantic models, so model readiness drives the work. These are the factors that move the effort.
Copilot reasons on your Power BI semantic models; weak models need work first.
Row-level security and access controls so Copilot answers safely add setup.
Getting people to trust and use Copilot answers is more than enabling the feature.
You run Power BI and want Copilot to give trustworthy answers.
You want governed, safe Copilot use, not a guessing assistant.
Your semantic models are weak: start with Semantic Layer Engineering or Power BI Consulting.
You want a full agentic question layer: see Agentic BI Implementation.
Copilot needs a $5K/month capacity floor and a certified semantic model to be safe. Most rollbacks happen at month two when oversharing or wrong DAX surfaces to leadership. We ship the governance, sensitivity labels, and capacity sizing first , then turn the toggle on.
Power BI Copilot consulting enables Copilot in Power BI at enterprise scale: the capacity decision, semantic-model certification, sensitivity-label propagation, tenant Copilot policy, and DAX enablement. Copilot needs a certified model to be safe, and most rollbacks happen at month two when oversharing surfaces to leadership. Thinklytics ships the governance and sizing first, then turns the toggle on.
Start with a 30-day Truth Audit. We assess capacity, semantic model certification, sensitivity label propagation, and a 90-day Copilot enablement plan that doesn't become a 90-day rollback.
$5K/mo: F64 capacity floor for Copilot.
30%: Typical analyst time-saved on DAX work.
Under 90 days: Most rollbacks happen this fast (without governance).
The people who normally own this problem are CFO, FP&A director, COO. They are the ones who start the search, and they are not always the person who signs for the work.
A buyer usually describes the situation this way: My team spends days assembling the monthly pack, and most of it is reconciliation rather than analysis.
The spend is normally gated by the CFO or executive sponsor, whose question is: Is the improvement worth the investment? What that person needs to approve it is a business case with stated assumptions and measurable outcomes.