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Good day,
I need help please, this is huge for me and my new role.
I was taked to be clinet facing but ot integrate AI into dashboard to translate from reportinging to Analytics
So some time back they only thing i can think of is the Auto Narratives with AI Copilot that required i think F2 license
1. Is my thinking correct, can this be automated on service scheduled refresh if manage to convince for license F2 or is this a manual refresh and publish everytime, remember my narratives must change based on a clinet slicer etc?
2. Is the F2 license for one member or must the entire org move to F2 which wont be possible so im hoping its for me only
3. What more can i do with AI Copilot+PowerBI for client & org can see the difference as we look providing more powerfull insights?
4. Could i also automate some FC using copilot or python based on existing data within powerbi but lst i checked python could not be service shed refresh or is it worth to manually refresh once a month?
5. Just looking to have as many options to build a raodmap for myself with AI/ML for reporting but via PowerBI as i have no layers
6. Also has anyone have experience with the copilot auto narratives, is it worth it does it make an impact?
I have no data storage environment hence why i am researching what all i can do with minimal resources, so the only thing i could push for is the license hoping it provides great options to make the difference & impactful with insghtful analyticsI
i started another thread where PBI could do my ETL+STORE+Shedule refresh hoping etc
Please help, and if possible to answer all 6 points and some some links to guide me
Thank You
Solved! Go to Solution.
Hi @icassiem
Great questions : let me address each one directly.
1. Can AI Narratives auto-refresh with slicers on scheduled refresh?
Yes. The Narrative visual regenerates dynamically at view-time based on slicer context - you don't need to manually refresh and republish. As of the March 2026 update, there's an Auto refresh toggle in the format pane so narratives update automatically when users change slicers. Your scheduled dataset refresh handles the underlying data; the narrative recomputes on the fly per user's slicer selection.
Ref: https://community.fabric.microsoft.com/t5/Power-BI-Updates-Blog/Power-BI-March-2026-Feature-Summary/...
2. Is F2 per-member or org-wide?
F2 is an organizational capacity (~$262/month), not a per-user license. You buy one F2 capacity, assign your workspace(s) to it, and anyone with Power BI Pro access to those workspaces gets Copilot. You do NOT need the entire org to move to F2 — just the workspace(s) you need. Individual users still need their own Pro license ($14/user/month). There is no separate Copilot license fee — it's included in the capacity.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
3. What more can you do with AI Copilot + Power BI?
Beyond narratives, Copilot enables: natural language Q&A (users type questions and get visual answers), auto-generate entire report pages from a description, generate and explain DAX measures, in-report Copilot chat on mobile, and app-scoped Copilot inside Power BI apps. Also important: Q&A is being deprecated December 2026 and Copilot is the replacement — getting ahead of this now is strategic.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-enable-power-bi
4. Can you automate forecasting with Python in Power BI?
Python in Power Query requires an on-premises Personal Gateway with Python installed for scheduled refresh — the Power BI Service cannot execute Python natively. Scripts also have a 30-minute timeout and break query folding. For monthly manual refresh it's workable but not ideal.
Better alternatives with F2: use Fabric Notebooks (Python/PySpark, no gateway needed, runs in cloud, can be scheduled). Or for simple cases, use Power BI's built-in Forecast line (Analytics pane on line charts) and Anomaly Detection — both work natively with scheduled refresh, zero infrastructure.
Ref: https://learn.microsoft.com/en-us/power-bi/connect-data/service-python-packages-support
5. AI/ML roadmap with minimal infrastructure
Phased approach:
Now (no new license): Built-in Forecast lines, Anomaly Detection, Key Influencers visual, Decomposition Tree, strong DAX time intelligence measures. These are all built-in AI visuals that work today.
With F2 (~Month 2): Copilot narratives on every client dashboard, in-report Copilot for natural language Q&A, Copilot-generated DAX and report pages.
Advanced (~Month 4+): Fabric Notebooks for Python ML/forecasting, write predictions to Lakehouse, consume in Power BI via Direct Lake. No gateway needed.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
6. Is the Copilot narrative visual worth it?
Yes, especially for client-facing dashboards. It writes paragraph-style summaries (not bullet points) covering key findings, trends, and outliers — and updates dynamically per slicer context. The April 2026 update defaults to Copilot mode and increased the character limit to 10,000 for richer prompts.
Caveat: quality depends heavily on your semantic model metadata. Add descriptions to measures, tables, and columns — Copilot reads these to generate better narratives. Poor metadata = generic or inaccurate output.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-smart-narrative
The pitch for F2: one capacity (~$262/month) serves the whole team, Q&A is being retired Dec 2026 so Copilot is mandatory soon, it unlocks Fabric Notebooks for Python with zero infrastructure, and clients see the analytics difference from day one.
Thanks
If you found this helpful, please consider giving it a kudo and marking it as the accepted solution — it goes a long way in helping others facing the same issue.
For more Power BI tips and discussions, let’s connect on LinkedIn:
https://www.linkedin.com/in/natarajan-manivasagan
Cheers!
@icassiem Hi! I'll try to answer to your six points:
Your thinking is mostly correct. Smart Narratives / Copilot update dynamically with slicers and will reflect scheduled refresh in the Service, so you don’t need to manually republish each time.
This part has evolved recently. Copilot is still not a pure per-user feature, but it’s also more flexible than before. It requires a paid Fabric or Premium capacity (starting from F2/P1) in Microsoft Fabric and cannot be enabled with just Pro/PPU alone. With newer updates, usage can be assigned to a Copilot capacity, so it’s centrally managed rather than tied to a single user, but it still requires an organisational setup.
With Copilot + Power BI you can enable natural language Q&A, generate summaries, and help users explore data more easily. It’s useful to move from static reporting to more guided insights, but it doesn’t replace solid data modelling.
Copilot is not designed for forecasting. Python can help in Desktop, but it’s still limited for reliable scheduled refresh in the Service. A manual monthly refresh can work for simple cases, otherwise you’d need an external tool or platform.
Even without a data platform, you can build a roadmap using Power BI itself: Power Query for ingestion, Dataflows as a lightweight storage layer, and then Copilot/narratives on top. It’s a good starting point with minimal resources.
Auto narratives can add value, especially for client-facing dashboards, because they summarise key insights quickly. That said, they work best as a supporting layer rather than the main analytical component.
BBF
Hi @icassiem
1) Roadmap + Q&A: why use it if I’m not sharing the solution?
Value of Q&A in Power BI is not just for end users where it helps us move from static reporting to exploratory analytics. Even if the client is not directly using Q&A you can use it to validate trends and generate business questions like why did sales drop in region X? which you then convert into visuals or narratives. It reduces development time and improves the quality of insights you present which is what clients care about.
Link - https://learn.microsoft.com/power-bi/natural-language/q-and-a-intro
2) F2 Capacity: can I store data, schedule ETL, and use Copilot?
Yes, with F2 assigned to a workspace we can store data in Lakehouse or Warehous, perform ETL using Dataflows Gen2 or pipelines, can do schedule refresh and transformations, and enable Copilot features if the tenant allows it. So instead of just building reports you get a mini end to end data platform inside Fabric with ingestion, storage, transformation, and analytics.
Link - https://learn.microsoft.com/fabric/fundamentals/fabric-overview
Link -https://learn.microsoft.com/fabric/fundamentals/copilot-enable-fabric
Hi @icassiem
1) Is my thinking correct, and can Auto Narratives with Copilot be automated with scheduled refresh (and respond to slicers)?
Yes, in Power BI smart narratives update automatically with dataset refresh and dynamically respond to slicers and filters, so you do not need to manually republish each time. However, Copilot-generated narratives are not fully automated background text generation where they function within visuals and reflect the current report context
Link - https://learn.microsoft.com/power-bi/visuals/power-bi-visualization-smart-narrative
Link - https://learn.microsoft.com/fabric/fundamentals/copilot-enable-fabric
2) Is the F2 license for one user or the entire organization?
It is part of Microsoft Fabric capacity and not a per user license. Assigned at the workspace or capacity level and shared across users who consume content from that capacity. You do not need entire organization to move to F2 and only the relevant workspace needs to be on that capacity
Link -
https://learn.microsoft.com/en-us/fabric/enterprise/licenses
3) What more can I do with Copilot + Power BI for clients and the organization?
Copilot in Power BI can help generate DAX, summarize reports, enable natural language querying, and assist users in exploring data interactively. It enhances productivity and helps transition from static reporting to more insight driven analytics where it still relies on a data model
Link - https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
Link - https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-integration
4) Can I automate forecasting using Copilot or Python in Power BI Service?
Copilot does not automate forecasting pipelines and Python scripts in Power BI as it has limitations with scheduled refresh in the service. For production use, it’s better to use built in forecasting features or precompute forecasts externally and refresh periodically
Link - https://learn.microsoft.com/power-bi/connect-data/desktop-python-scripts
5) What roadmap can I follow for AI/ML using Power BI with minimal resources?
You can start with built in features like Smart Narratives, Q&A, and Copilot for insights then Microsoft Fabric like F2 capacity for centralized storage
6) Is Copilot auto narrative worth it and does it make an impact?
Smart Narratives are valuable for generating quick summaries and improving client facing storytelling in Power BI. Add value for executives and they are not a standalone AI solution.
@icassiem Hi! I'll try to answer to your six points:
Your thinking is mostly correct. Smart Narratives / Copilot update dynamically with slicers and will reflect scheduled refresh in the Service, so you don’t need to manually republish each time.
This part has evolved recently. Copilot is still not a pure per-user feature, but it’s also more flexible than before. It requires a paid Fabric or Premium capacity (starting from F2/P1) in Microsoft Fabric and cannot be enabled with just Pro/PPU alone. With newer updates, usage can be assigned to a Copilot capacity, so it’s centrally managed rather than tied to a single user, but it still requires an organisational setup.
With Copilot + Power BI you can enable natural language Q&A, generate summaries, and help users explore data more easily. It’s useful to move from static reporting to more guided insights, but it doesn’t replace solid data modelling.
Copilot is not designed for forecasting. Python can help in Desktop, but it’s still limited for reliable scheduled refresh in the Service. A manual monthly refresh can work for simple cases, otherwise you’d need an external tool or platform.
Even without a data platform, you can build a roadmap using Power BI itself: Power Query for ingestion, Dataflows as a lightweight storage layer, and then Copilot/narratives on top. It’s a good starting point with minimal resources.
Auto narratives can add value, especially for client-facing dashboards, because they summarise key insights quickly. That said, they work best as a supporting layer rather than the main analytical component.
BBF
Hi @icassiem
Great questions : let me address each one directly.
1. Can AI Narratives auto-refresh with slicers on scheduled refresh?
Yes. The Narrative visual regenerates dynamically at view-time based on slicer context - you don't need to manually refresh and republish. As of the March 2026 update, there's an Auto refresh toggle in the format pane so narratives update automatically when users change slicers. Your scheduled dataset refresh handles the underlying data; the narrative recomputes on the fly per user's slicer selection.
Ref: https://community.fabric.microsoft.com/t5/Power-BI-Updates-Blog/Power-BI-March-2026-Feature-Summary/...
2. Is F2 per-member or org-wide?
F2 is an organizational capacity (~$262/month), not a per-user license. You buy one F2 capacity, assign your workspace(s) to it, and anyone with Power BI Pro access to those workspaces gets Copilot. You do NOT need the entire org to move to F2 — just the workspace(s) you need. Individual users still need their own Pro license ($14/user/month). There is no separate Copilot license fee — it's included in the capacity.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
3. What more can you do with AI Copilot + Power BI?
Beyond narratives, Copilot enables: natural language Q&A (users type questions and get visual answers), auto-generate entire report pages from a description, generate and explain DAX measures, in-report Copilot chat on mobile, and app-scoped Copilot inside Power BI apps. Also important: Q&A is being deprecated December 2026 and Copilot is the replacement — getting ahead of this now is strategic.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-enable-power-bi
4. Can you automate forecasting with Python in Power BI?
Python in Power Query requires an on-premises Personal Gateway with Python installed for scheduled refresh — the Power BI Service cannot execute Python natively. Scripts also have a 30-minute timeout and break query folding. For monthly manual refresh it's workable but not ideal.
Better alternatives with F2: use Fabric Notebooks (Python/PySpark, no gateway needed, runs in cloud, can be scheduled). Or for simple cases, use Power BI's built-in Forecast line (Analytics pane on line charts) and Anomaly Detection — both work natively with scheduled refresh, zero infrastructure.
Ref: https://learn.microsoft.com/en-us/power-bi/connect-data/service-python-packages-support
5. AI/ML roadmap with minimal infrastructure
Phased approach:
Now (no new license): Built-in Forecast lines, Anomaly Detection, Key Influencers visual, Decomposition Tree, strong DAX time intelligence measures. These are all built-in AI visuals that work today.
With F2 (~Month 2): Copilot narratives on every client dashboard, in-report Copilot for natural language Q&A, Copilot-generated DAX and report pages.
Advanced (~Month 4+): Fabric Notebooks for Python ML/forecasting, write predictions to Lakehouse, consume in Power BI via Direct Lake. No gateway needed.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
6. Is the Copilot narrative visual worth it?
Yes, especially for client-facing dashboards. It writes paragraph-style summaries (not bullet points) covering key findings, trends, and outliers — and updates dynamically per slicer context. The April 2026 update defaults to Copilot mode and increased the character limit to 10,000 for richer prompts.
Caveat: quality depends heavily on your semantic model metadata. Add descriptions to measures, tables, and columns — Copilot reads these to generate better narratives. Poor metadata = generic or inaccurate output.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-smart-narrative
The pitch for F2: one capacity (~$262/month) serves the whole team, Q&A is being retired Dec 2026 so Copilot is mandatory soon, it unlocks Fabric Notebooks for Python with zero infrastructure, and clients see the analytics difference from day one.
Thanks
If you found this helpful, please consider giving it a kudo and marking it as the accepted solution — it goes a long way in helping others facing the same issue.
For more Power BI tips and discussions, let’s connect on LinkedIn:
https://www.linkedin.com/in/natarajan-manivasagan
Cheers!
Thank You, jeez you guyz are smart
The license is clear, only a total cost of $262 for a workspace meaning I could have a few reports in the workspace making use of the copilot ai features
@BeaBF
- can you elaborate more on this "Power Query for ingestion, Dataflows as a lightweight storage layer, and then Copilot/narratives on top" does this mean I can use it to ingest API multiple loops and store in dataflows in powerpi or how - does the api loops call not have limitations and the dataflows storage - is this service tables and I can just overwrite or append?
- 3. generate summaries is this the auto narr in powerbi or a additional custom visual, remember I only have powerbi?
- the roadmap, how and why use Q&A what benefit does it do if im not sharing the solution?
- the F2 capacity, in the workspace I can store data end schedule etl and copilot?
@Natarajan_M
- so the copilot use/ai narr can be automated meaning part of the service schedule the narr also updates and is up to date when viewing dashboard in service?
- "F2: use Fabric Notebooks (Python/PySpark, no gateway needed, runs in cloud, can be scheduled). Or for simple cases, use Power BI's built-in" i could possibly use PBI for client less complex fc use the analytics pane and schedule use in report and perhaps for consulting from nestuite openair use the fabric notebook to write python?
- with F2 do i get a "Lakehouse" for storage from powerbi ingest and to consume, how would i automate the notebooks/lakehouse from PBI - would it be source from lakehouse + python + output lakehouse and then reuse?
Is there a difference between the default smart narr visuals and copilot ai narr, is it worth the license, $260 = 5K zar will be difficult to justify?
I will be presenting a dynamic dashboard with client slicer selection, and provide service of exporting a pdf version for clients so I need rich insight narratives on additional to the visuals story telling. What im trying to say, does the F2 license only benefit the Auto narratives for me presenting/passing analysis to clients - thought I could do more but is the narratives strong in detail meaning, quarterly it could generate a page or essay is this in my control as on visuals I want highlight summary narrative but in sharing performance I can frwd essay like reports as this will be strong motivation for cost?
Hi @icassiem
1) Roadmap + Q&A: why use it if I’m not sharing the solution?
Value of Q&A in Power BI is not just for end users where it helps us move from static reporting to exploratory analytics. Even if the client is not directly using Q&A you can use it to validate trends and generate business questions like why did sales drop in region X? which you then convert into visuals or narratives. It reduces development time and improves the quality of insights you present which is what clients care about.
Link - https://learn.microsoft.com/power-bi/natural-language/q-and-a-intro
2) F2 Capacity: can I store data, schedule ETL, and use Copilot?
Yes, with F2 assigned to a workspace we can store data in Lakehouse or Warehous, perform ETL using Dataflows Gen2 or pipelines, can do schedule refresh and transformations, and enable Copilot features if the tenant allows it. So instead of just building reports you get a mini end to end data platform inside Fabric with ingestion, storage, transformation, and analytics.
Link - https://learn.microsoft.com/fabric/fundamentals/fabric-overview
Link -https://learn.microsoft.com/fabric/fundamentals/copilot-enable-fabric
@Natarajan_M ; @krishnakanth240 ; @BeaBF Thank You very much
I wish i could accept all as answers
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