For years, getting answers from Power BI meant building a report, adding filters, and hoping the right visual already existed. Today, that is changing. Power BI AI agents let users ask questions in plain language, get answers backed by real data, and even build models and reports with help from AI.
The challenge is choosing the right one. Some agents are built into Microsoft’s own platform, some live inside a report as a custom visual, and others help developers write DAX and edit models. In this guide, we compare 7 of the best options, explain what each one does well, and help you decide which fits your team.
What Is a Power BI AI Agent?
A Power BI AI agent is an AI tool that connects to your Power BI data and acts on it. It can answer questions, write DAX, summarize reports, or make changes to a semantic model, usually based on a request written in plain language.
It helps to separate three ideas:
- Built-in AI features: Tools like key influencers or anomaly detection. They analyze data, but only inside one visual.
- AI chat assistants: Tools that answer questions about a report or dataset in a conversation.
- AI agents: Tools that go a step further. They plan, query data, and take actions, such as creating a measure or building a report page.
If you are new to how agents plan and use tools, our guide to the agentic framework explains the basics. In practice, many products blend these ideas, so the line between assistant and agent is not always sharp.
Built-In Power BI AI Features You Already Have
Before adding a new tool, it is worth knowing which Power BI AI features are already included:
- Copilot: Microsoft’s AI assistant for Power BI (covered in detail below).
- Smart narratives: Automatically write text summaries of visuals and reports that update as data changes.
- Key influencers: Find and rank the factors that drive a metric, such as what makes customer ratings low.
- Decomposition tree: Lets you drill into a metric across many dimensions. Its “AI splits” suggest which dimension to explore next.
- Anomaly detection: Flags unusual points in time series line charts and offers possible explanations.
One important change: Microsoft has announced that Q&A experiences are going away in December 2026 and recommends Copilot as the replacement. If your reports rely on the Q&A visual, now is a good time to plan the move.
These features bring AI in Power BI to everyday reports, but they work one visual at a time. Power BI AI agents are designed to handle broader, conversational work.
Quick Comparison of Power BI AI Agents
| Agent | Type | Works In | Best For |
|---|---|---|---|
| Copilot in Power BI | Microsoft native | Power BI Service and Desktop | Microsoft-first teams |
| Fabric Data Agent | Microsoft native | Microsoft Fabric | Questions across several data sources |
| Power BI Agentic Toolkit | Microsoft native (developer) | AI coding agents | Building models and reports with AI |
| BI Genius | Third party | Your Azure subscription | Governed, no-code business agents |
| BI Buddy | Third party | Next to Power BI Desktop | Hands-on model and DAX work |
| AI Lens | Third party (custom visual) | Inside reports | Quick chat in a single report |
| PBI AI Agent | Third party (custom visual) | Inside reports | Choosing between AI models |
7 Best Power BI AI Agents
1. Copilot in Power BI
Copilot is Microsoft’s own AI assistant, built directly into Power BI. Business users can chat with their data, ask questions, and get report summaries. A standalone, full-screen Copilot experience (in preview) can search across every report and semantic model a user has access to.
For report authors, Copilot can create report pages from a prompt, write DAX queries, add descriptions to measures, and create narrative visuals.
Key Features:
- Answers questions and summarizes reports in plain language
- Creates report pages and narrative visuals
- Writes DAX queries and measure descriptions
- Built into both Power BI Service and Desktop
Main Limit: Copilot needs a paid Fabric capacity (F2 or higher) or Power BI Premium (P1 or higher). It does not work on trial capacities or with a Premium Per User license alone. You can check the full list in Microsoft’s Copilot requirements.
Best For: Organizations already invested in Microsoft Fabric that want AI without adding another vendor.
2. Fabric Data Agent
Fabric Data Agent is Microsoft’s tool for building conversational agents over data stored in Fabric. It is generally available and goes beyond a single report.
One agent can connect to up to five data sources, including Power BI semantic models, lakehouses, warehouses, and KQL databases. It turns questions into SQL, DAX, or KQL depending on the source. It is read-only, and it uses each user’s own permissions, so row-level and column-level security still apply.
Key Features:
- Combines up to five data sources in one agent
- Respects existing RLS and CLS rules
- Can be used in Copilot in Power BI, Microsoft Teams, Microsoft 365 Copilot, and Copilot Studio
- Lets creators add example queries to improve accuracy
Main Limit: It requires F2 or higher Fabric capacity (or P1 or higher), supports English only, and returns a maximum of 25 rows by 25 columns per answer.
Best For: Companies whose data lives across Fabric, not just in one Power BI model.
3. Power BI Agentic Toolkit
This is the newest option on the list, and few comparison guides mention it yet. Microsoft’s Power BI Agentic toolkit is a bundle of agent skills and MCP servers that lets AI coding agents, such as GitHub Copilot, Claude Code, and Cursor, build and refine Power BI content.
The skills teach agents Power BI best practices, such as star schema design and DAX writing. The Power BI Authoring MCP Server lets the agent inspect schemas, run DAX, and edit semantic models.
Key Features:
- Turns natural language prompts into semantic models or reports
- Designs star schemas and writes or optimizes DAX
- Creates, formats, and validates report pages
- Can deploy models and manage permissions
Main Limit: It is a developer toolkit, not a feature for business users. It is installed as a plugin and needs GitHub Copilot CLI and Node.js 18 or later.
Best For: BI developers who want an AI agent to do real modeling and report-building work.
4. BI Genius
BI Genius, from The Reporting Hub, connects to the Power BI semantic models your organization has already published. There is no need to rebuild datasets. Users ask questions in plain language, and every answer shows the DAX the agent wrote to get there.
Deployment is a strong point. BI Genius runs inside your own Azure subscription, so both the data and the AI processing stay in your tenant. It is built on Microsoft Foundry, and a Starter tier is included with every Reporting Hub plan.
Key Features:
- No-code setup on existing semantic models
- Shows the DAX behind every answer
- Runs in your own Azure subscription
- Starter tier included with Reporting Hub plans
Main Limit: It makes the most sense for teams already using, or willing to adopt, the Reporting Hub platform.
Best For: Organizations that need governed, explainable AI answers for business users.
5. BI Buddy
BI Buddy works alongside Power BI Desktop. Instead of only giving advice, it performs real operations, such as renaming fields, writing DAX, and designing reports.
That makes it different from chat tools that produce code you must copy and paste yourself. It is aimed at the people building Power BI models rather than the people reading reports.
Key Features:
- Runs next to Power BI Desktop
- Renames columns and tables for you
- Writes and fixes DAX
- Helps design report pages
Main Limit: Its focus is development work, so it offers little for business users who only view reports.
Best For: Power BI developers who spend hours on modeling and DAX cleanup.
6. AI Lens
AI Lens is a custom visual that adds a chat window directly inside a Power BI report. Users can ask questions about the data in that report and get answers using OpenAI models, without leaving the page.
It is one of the simplest ways to add conversational AI to an existing report, and a free plan is available to try it.
Key Features:
- Chat with report data inside the report
- Uses OpenAI language models
- Simple to add as a custom visual
- Free plan available
Main Limit: It works at the report level. It is not built to manage many separate agents across an organization.
Best For: Teams that want quick AI chat on a few specific reports.
7. PBI AI Agent
PBI AI Agent is another custom visual, but its strength is model choice. It supports models from Anthropic (Claude), OpenAI (GPT), and Google (Gemini), and users can switch between them.
Users ask questions in plain language, and the visual can generate bar, line, and pie charts from the answers. It works in Power BI Desktop, the Power BI service, and Power BI Report Server.
Key Features:
- Supports Claude, GPT, and Gemini models
- Generates charts from natural language questions
- Keeps chat history and shows token usage per query
- Uses your own API keys, entered in the visual’s settings
Main Limit: Like AI Lens, it is centered on a single report. A free plan includes a limited number of queries per month.
Best For: Teams that want to compare AI models or avoid being tied to one provider.
How to Choose the Right Power BI AI Agent
The best AI for Power BI depends on who will use it and where your data lives:
- Business users asking questions: Start with Copilot if you have Fabric capacity, or consider BI Genius for more control and visible DAX.
- Data across many sources: Fabric Data Agent is the strongest fit.
- Developers building models: Look at the Power BI Agentic toolkit or BI Buddy.
- Quick wins on a few reports: A custom visual like AI Lens or PBI AI Agent is easy to test.
Also think about governance, since some Power BI AI tools send questions and data to an outside AI provider. Check where data is sent, whether security rules carry over, and who pays for AI usage. If you plan to connect agents to wider processes, our guide to AI automation workflows covers how to design them safely.
Prepare Your Semantic Model First
Even the best AI tools in Power BI depend on the quality of the semantic model behind them. Microsoft warns that when data is unstructured or ambiguous, AI outputs “might be generic, inaccurate, or even misleading.”
To help, Power BI offers Prep data for AI (currently in preview). It includes three tools:
- AI data schemas: Choose which tables and fields AI should focus on.
- Verified answers: Set approved answers for common questions.
- AI instructions: Give Copilot business context, such as what “active customer” means.
Clear table names, well-defined measures, and correct relationships will improve results from almost any agent on this list.
Final Thoughts
Power BI AI agents are moving analytics from “find the right report” to “ask the right question.” Microsoft-first teams can start with Copilot and Fabric Data Agent, developers can speed up their work with the Agentic toolkit or BI Buddy, and teams that want governed answers or model choice have strong third-party options.
Whichever you pick, start small, prepare your semantic model, and always check the DAX or data behind an AI answer before acting on it.
Frequently Asked Questions (FAQs)
Is Power BI AI-based?
Power BI is a business intelligence tool, not an AI tool at its core, though it includes AI features like Copilot and key influencers. For teams looking beyond Power BI’s ecosystem entirely, dedicated platforms for AI for business intelligence — such as WisdomAI — offer an alternative approach, enabling business users to query complex datasets in natural language and surface insights on demand without building or maintaining dashboards manually.
Does Microsoft have its own Power BI AI agent?
Yes. Microsoft offers Copilot in Power BI and Fabric Data Agent for users, plus the Power BI Agentic toolkit for developers working with AI coding agents.
Do I need Fabric capacity to use Copilot in Power BI?
Yes. Copilot needs a paid Fabric capacity (F2 or higher) or Power BI Premium (P1 or higher). A Pro or Premium Per User license alone is not enough.
Can a Power BI AI agent write DAX?
Yes. Copilot can write DAX queries, Fabric Data Agent turns questions into DAX for semantic models, and tools like BI Genius, BI Buddy, and the Agentic toolkit also write DAX.
What is replacing Power BI Q&A?
Microsoft has announced that Q&A experiences are going away in December 2026. It recommends Copilot for Power BI as the replacement for asking questions in natural language.
What is the best AI for Power BI?
There is no single best option. Copilot suits Microsoft-first teams, Fabric Data Agent suits multi-source data, and BI Genius suits governed business use. Developers may prefer the Agentic toolkit or BI Buddy.
