Copilot available across all paid Microsoft Fabric SKUs

More than a feature, this is a platform capability

The most interesting part of this change is not just that smaller capacities can now access Copilot. It is that more organisations can now start using the same AI-assisted experiences across the Fabric estate much earlier in their maturity journey. Instead of waiting until Fabric adoption is large enough to justify a major capacity step-up, teams can start experimenting with practical AI use cases while still on smaller paid capacities.

Microsoft Power BI

In Microsoft Power BI, Copilot can help both report consumers and report authors. For consumers, it can summarise reports, answer questions about the data, and help users explore information conversationally. For authors, it can assist with creating report content, generating or refining DAX, and improving model usability through descriptions and semantic enhancements. This is where Copilot often feels most visible, because it brings natural language directly into the reporting experience.

Data Factory

In Data Factory, Copilot is more about productivity in build and orchestration. Microsoft highlights capabilities such as generating queries and transformations from natural language, explaining existing logic, creating and summarising pipelines, and helping troubleshoot pipeline errors. For teams delivering data integration work, that can reduce the time spent on repetitive setup and make handovers easier to manage.

Data Warehouse

In Data Warehouse, Copilot is aimed at SQL productivity. It can generate T-SQL from natural language prompts, explain existing SQL, suggest corrections, and support developers working against warehouse metadata. That is particularly useful where analysts understand the business question but are less familiar with the physical schema, or where engineering teams want to speed up development and debugging.

Real-Time Intelligence

In notebooks and broader data engineering experiences, Copilot helps with writing, explaining, and improving code. It can also help accelerating data preparation and analysis. In Real-Time Intelligence, it can help users generate KQL queries from plain English, lowering the barrier to exploring streaming and event-based data. Taken together, this makes Copilot far more than a reporting feature. It is increasingly part of how Microsoft wants users to interact with the whole Fabric platform.

Where the real use cases are

The best use cases are not flashy. They are practical.

Business users

For business users, Copilot can reduce the gap between opening a report and getting to a first answer. Instead of relying on an analyst for every follow-up question, users can ask for a summary, drill into a trend, or explore a report using natural language. That is especially useful in executive reporting, sales analysis, operational dashboards, and finance packs where people often want quick interpretation before deeper analysis.

BI teams

For report authors and BI teams, the value is in acceleration. Copilot can help build out report content, improve the usability of models, and reduce the time spent on repetitive design and development tasks. It is not a replacement for good report design or strong modelling, but it can remove a lot of the friction around getting from idea to working first draft.

Data engineers

For data engineers and warehouse teams, the use cases are even more tangible. Generating SQL, explaining transformations, creating pipeline scaffolding, and troubleshooting existing logic are all areas where AI assistance can save real time. In many projects, that is where the productivity gain will be felt first. So much effort is spent on translation between business intent and technical implementation.

Organisations

For organisations trying to widen access to analytics, that may be the bigger story. Smaller paid Fabric capacities can now expose AI-assisted experiences to a broader set of users without forcing an early jump to a much larger SKU. That makes experimentation more realistic, but it also puts more pressure on governance and setup to ensure the experience is actually useful.

Availability does not mean readiness

This is the point that often gets missed. Just because Copilot is now available from F2 upward does not mean it is automatically ready to work well in every environment. Microsoft’s setup guidance is clear that there are still several conditions that need to be in place before Copilot can be used effectively. Organisations need a paid Fabric capacity from F2 or a Power BI Premium P1 capacity. The capacity must be in a supported region, the right tenant settings must be enabled, and users need access to the right workspace environment. Trial capacities are not supported.

There is also an important nuance around Pro and PPU workspaces. Microsoft states that these workspaces do not directly support Copilot features on their own. If organisations want to use Copilot in those scenarios, including from Power BI Desktop, they need to enable a Fabric Copilot capacity and assign the workspace accordingly. That means the SKU barrier is lower than it used to be. However, there is still architectural thinking required if you want to support a broader Power BI user base cleanly.

Security and rollout planning matter too. Microsoft recommends controlling access through security groups rather than simply enabling Copilot for everyone on day one. That is sensible. In practice, most organisations will want to introduce it first to a pilot group. There they can prove where it adds value, and then expand usage once governance, training, and support are in place.

Good Copilot starts with good data

This is probably the most important part of the whole conversation. Copilot works best when the underlying Fabric environment is well prepared. That means clean semantic models, sensible naming, meaningful metadata, well-structured measures, and trusted governed data. AI can make a good analytics environment easier to use, but it does not fix a weak one. If the model is confusing, inconsistent, or poorly described, the Copilot experience will reflect that. Microsoft’s Fabric documentation positions Copilot as an assistive layer across the platform, not a substitute for strong data foundations.

The same is true from a governance perspective. Microsoft’s guidance also highlights region and processing considerations. Data processed by Copilot stays within the capacity’s geographic region unless admins explicitly allow otherwise. This means compliance and residency decisions still sit firmly with the organisation. That is another reminder that successful Copilot adoption is as much about platform readiness as it is about turning on a feature.