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Copilot in Power BI logo

Copilot in Power BI

$260/mo

AI assistant for faster, smarter data analysis and report creation in Power BI

Copilot in Power BI is an AI-powered assistant built into Microsoft Power BI that enables natural-language queries, automated report generation, narrative summaries, and DAX formula generation. It helps both business users and data professionals analyze data, create visualizations, and build reports faster with AI-assisted content suggestions and insights discovery. The tool integrates generative AI capabilities powered by Azure OpenAI to streamline BI workflows.

Who it's for

Data analystsBusiness intelligence professionalsExecutive stakeholdersOrganizations with heavy data analysis needsEnterprise teams requiring AI-assisted analytics

Pricing · enterprise

checked Jul 20, 2026
PlanPriceIncludes
Microsoft Fabric F2 Capacity$260 /moEntry-level Fabric capacity for Copilot access · Pay-as-you-go or reserved instance options · Token-metered usage billing ($0.22 per CU/hour for pay-as-you-go)
Microsoft Fabric F64 Capacity$5,259 /moRecommended for organizations with 290+ Power BI users · Reserved capacity with significant cost savings (41% discount with 1-year commitment) · Full Copilot features across workspaces
Power BI Premium Per User (PPU)$24 /moPer-user licensing alternative to capacity-based pricing · Includes some Copilot functionality (limited features) · Paid annually at $24/user/month
Power BI Pro$14 /moStandard Power BI licensing · Copilot features not available at this tier · Basic BI and report creation

AI-researched pricing — verify on the official site before subscribing.

Use it for

  • — Natural-language data querying and analysis
  • — Automated report generation from data descriptions
  • — Creating DAX formulas and calculated measures from plain language
  • — Generating narrative summaries of key insights
  • — Exploratory data analysis and visualization suggestions
  • — Building Power BI reports faster with AI assistance
  • — Semantic model optimization with AI guidance

Get the most out of it

  1. 01Ensure proper data model preparation with clear column names, measure descriptions, and correct relationships—Copilot accuracy depends heavily on data quality and schema design.
  2. 02Enable Copilot at the tenant level in the Power BI Admin Portal and assign workspaces to F2+ Fabric capacity or Premium capacity; both the tenant setting AND workspace capacity assignment are required.
  3. 03Start with Microsoft Fabric F2 capacity (~$260/month) for pilots or use reserved Fabric instances (F64) to achieve 31-41% cost reductions on committed workloads.
  4. 04Use the Fabric Capacity Metrics app to monitor actual token consumption and CU usage in your organization—estimated benchmarks in Microsoft docs often differ from real production usage.
  5. 05Ensure your organization uses Microsoft Entra ID (not personal Microsoft accounts) and verify Copilot is available in your geographic region, as some sovereign cloud regions have delayed or limited support.
Visit Copilot in Power BI

Stacks featuring Copilot in Power BI

For Corporate legal counsel managing AI deployment risk

AI-Powered Legal Compliance Shield

anonymizer-nerVulnHuntergsc-mcp-serverGemini AgentCopilot in Power BI

A defensive stack that monitors AI system outputs, detects potential regulatory violations, and auto-generates compliance documentation before regulators come knocking. Combines real-time content analysis with automated anonymization and audit trails.

How the workflow runs
  1. 01anonymizer-ner — Automatically detect and redact PII from all AI-generated outputs before storage or distribution
  2. 02vulnhunter — Scan AI system prompts and responses for potential safety vulnerabilities or jailbreak attempts
  3. 03gemini-agent — Generate compliance reports and flag potential regulatory issues across enterprise AI deployments
  4. 04gsc-mcp-server — Track public-facing AI content performance and detect reputational risks
  5. 05copilot-in-power-bi — Build real-time compliance dashboards showing AI usage patterns and risk metrics

As eight states sue OpenAI and regulatory scrutiny intensifies, this stack creates an automated compliance moat. Legal teams can demonstrate proactive governance, and enterprises can deploy AI with confidence knowing every interaction is logged, sanitized, and auditable. The combination of NER anonymization with vulnerability scanning catches issues before they become lawsuits.

Total (5 tools)$260/mo
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