11 Ways to Use Microsoft Copilot in Excel

As artificial intelligence continues to reshape how professionals work with data, tools like Copilot in Excel are redefining what’s possible inside a spreadsheet. Instead of manually building formulas, analyzing rows and columns, or creating charts, users can now rely on AI to streamline complex tasks and deliver real-time insights.

With the integration of Microsoft 365 Copilot, Microsoft Excel has evolved into a powerful AI-driven platform that helps users analyze, generate, and summarize spreadsheet data faster than ever before.

Before getting started, it’s important to understand licensing requirements. Copilot in Excel is available through Microsoft 365 Copilot, which currently requires a paid Copilot add-on license. As of April 2026, users with free Copilot Chat access can no longer use Copilot directly inside Excel desktop applications.

Organizations evaluating Copilot should confirm licensing availability before deploying AI-powered Excel features across teams.

How to Use Copilot in Excel

Understanding how to use Copilot in Excel starts with knowing where to find it and how it interacts with your workbook.

In Microsoft Excel, the Copilot icon is on the Home tab, giving users direct access to AI-powered features. Once selected, Copilot lets you enter a prompt that tells the AI what you want to accomplish with your data.

To begin, ensure your spreadsheet is structured in a proper table format, as this allows the Copilot function to interpret your dataset correctly. From there, you can ask Copilot to analyze data, generate formulas, create charts, or even build full reports.

11 Ways to Use Microsoft Copilot in Excel

1. Use Copilot for Advanced Data Analysis

One of the most powerful applications of Copilot in Excel is performing advanced data analysis. Instead of manually sorting through rows, columns, and cells, users can ask Copilot to evaluate datasets and uncover meaningful trends.

For example, you can prompt Copilot to analyze sales data and identify patterns in Column C, helping you quickly identify trends and anomalies. This eliminates hours of manual work and ensures more accurate analysis of complex data.

Example Prompt:

Analyze this sales table and identify which products have the highest growth rate compared to the previous quarter. Or identify any unusual spikes or declines in revenue and explain possible causes.

2. Use Copilot in Excel to Generate Formulas Faster

Writing complex formulas in Excel can be time-consuming, especially when working with nested functions, lookup formulas, and conditional logic. With Copilot in Excel, users can describe the outcome they want in plain language and receive formula recommendations instantly.

For example, you might ask:

Example Prompt:

Create a formula that calculates profit margin using Revenue in Column B and Cost in Column C. Or generate an XLOOKUP formula that matches Product IDs from Sheet2.

Copilot can generate formulas, explain how they work, and help users troubleshoot errors, making it easier to work with advanced Excel functions even if you’re not an expert.

3. Use the =COPILOT() Worksheet Function

One of the biggest recent developments in Excel AI is the introduction of the =COPILOT() worksheet function. Unlike Copilot in Excel’s chat pane, the worksheet function allows users to place AI-powered prompts directly into cells.

The function uses natural language instructions and updates dynamically when underlying source data changes, making it useful for ongoing analysis and reporting.

Example Prompt:

=COPILOT(“Summarize the sales trends in this table”). Or =COPILOT(“Identify unusual transactions and explain why they stand out”)

This enables users to generate summaries, insights, classifications, and explanations directly inside worksheets without leaving the spreadsheet.

4. Create Pivot Tables Without Manual Setup

Building pivot tables is one of the most powerful features in Microsoft Excel, but it can also be intimidating.

With Excel Copilot, you can request a summary of your data, and the AI will automatically create pivot tables based on your dataset. This allows users to quickly summarize values, compare rows and columns, and generate insights without manually configuring settings.

By automating pivot tables, Copilot in Excel makes advanced data analysis far more user-friendly.

If you want to build a stronger foundation before relying on AI, check out our guide on the 7 Best Excel Courses for Data Analysis in 2025, where we break down how to master pivot tables, data analysis, and real-world Excel workflows.

Example Prompt:

Create a pivot table that shows revenue by region and sort the regions from highest to lowest sales. Or create a pivot table showing monthly sales totals by product category.

5. Use Copilot to Create Charts and Graphs

Visualization is critical for understanding data, and Copilot in Excel makes it easier than ever to create charts and graphs.

Users can prompt the Copilot chat pane to build visualizations such as pie charts, bar graphs, or trend lines. For example, you can ask Copilot to create a pie chart showing the distribution of categories in your dataset.

These charts and graphs transform raw spreadsheet data into visual insights, helping teams make better decisions faster.

Example Prompt:

Create a chart that compares quarterly revenue across all sales regions. Or build a visualization that highlights month-over-month growth trends.

6. Summarize Data and Generate Reports

Another powerful use of Copilot in Excel is summarizing large datasets and generating professional reports.

Instead of manually reviewing thousands of rows, the Copilot chat pane can generate text summaries that highlight key findings, patterns, and trends. This is especially useful for stakeholders who need quick, digestible insights.

By automating summaries, Copilot reduces the time spent on repetitive tasks and improves overall productivity.

Example Prompt:

Summarize key findings from this dataset and create an executive-ready report.

7. Perform Data Cleaning Automatically

Clean data is essential for accurate analysis, and data cleaning is one of the most time-consuming aspects of spreadsheet work.

With Copilot in Excel, users can automate tasks such as removing duplicates, fixing formatting issues, and standardizing values across columns. This ensures that your data is consistent and ready for deeper analysis.

Proper data cleaning improves the accuracy of formulas, pivot tables, and charts, making it a foundational step in any workflow.

For a deeper look at preparing clean, structured datasets before using Copilot in Excel, read Top Excel Hacks for Data Cleaning and Preparation, which covers expert techniques to improve data quality and analysis accuracy.

Example Prompt:

Find duplicate customer records and remove them while keeping the most recent entry. Or standardize all date formats to MM/DD/YYYY and identify any invalid dates.

8. Add New Columns and Transform Data

Copilot in Excel can also help you create and populate new columns based on existing data.

For example, you can ask the Copilot chat pane to extract information, categorize entries, or perform calculations that automatically populate new columns. This is particularly useful when working with complex data that requires transformation before analysis.

This capability reduces manual effort and significantly speeds up data preparation.

Example Prompt:

Create a new column that categorizes customers as Small, Medium, or Enterprise based on annual revenue. Or extract the state abbreviation from each customer address and place it in a new column.

9. Analyze Current Data in Real Time

With Microsoft 365 Copilot in Excel, users can analyze current data in real time without rebuilding reports or manually refreshing dashboards.

Recent updates to Microsoft 365 Copilot allow users to work with AI-generated insights that update as workbook data changes. Combined with features such as the =COPILOT() function, users can create dynamic summaries and analyses that evolve as new information is added.

Example Prompt:

Analyze newly added transactions and identify any unusual spikes in spending, declining sales trends, or potential data anomalies.

10. Understand and Explain Formulas

One of the most underrated features of using Copilot in Excel is its ability to help users understand formulas.

Instead of guessing how a formula works, you can ask Copilot to explain it in plain language. This is especially helpful for beginners or professionals working with unfamiliar datasets.

By improving your ability to understand formulas, Copilot turns Excel into both a learning tool and a productivity platform.

Example Prompt:

Explain what this nested IF and XLOOKUP formula is doing in plain English. Or identify potential errors in this formula and suggest a simpler alternative.

11. Automate Complex Tasks Across Your Spreadsheet

Beyond individual actions, Copilot in Excel can automate entire workflows.

Newer Copilot capabilities, such as Agent Mode, Plan Mode, and Python in Edit with Copilot, further extend Excel automation. These features allow users to perform multi-step analysis, generate execution plans, run advanced Python-based data analysis, and automate workflows that previously required significant manual effort.

Users can ask Copilot to perform multi-step operations, such as analyzing data, generating summaries, creating visualizations, and building reports, all in a single request. These complex tasks would typically require multiple tools and manual steps.

By combining AI tools with Excel’s core functionality, Copilot transforms how professionals handle spreadsheet work.

Example Prompt:

Analyze this sales dataset, identify top-performing products, create a revenue trend chart, and generate an executive summary.

Advanced Copilot Features in Excel

The most impactful advanced Copilot features go beyond basic automation.

These include:

• Context-aware analysis
• Intelligent chart recommendations
• Automated reporting
• Natural language data interaction
• Agent Mode for multi-step workflows
• Plan Mode for guided task execution
• Python in Edit with Copilot for advanced analytics
• Dynamic worksheet AI using =COPILOT()

These features enable users to move from raw data to deep insights without needing advanced technical skills.

Best Practices for Using Copilot in Excel

To get the most out of Copilot in Excel, users should focus on properly structuring their data. This includes organizing information into a clean table format, ensuring consistent row and column formatting, and validating values before analysis.

It’s also important to write clear and specific prompts. The more context you provide, the better Copilot can generate accurate results, whether you’re asking it to create charts, build pivot tables, or perform analysis.

Finally, combining Copilot with your existing Excel knowledge allows you to maximize both speed and accuracy, leading to better outcomes across all tasks.

If you’re ready to take your Excel and AI skills to the next level, explore the Best Excel Courses for 2025 and start building real-world expertise in Microsoft Excel, data analysis, and Microsoft 365 Copilot.

Final Thoughts

The introduction of Copilot in Excel marks a major shift in how professionals interact with data.

Instead of manually building formulas, analyzing spreadsheet data, and creating charts, users can now rely on AI to handle these processes efficiently. Whether you’re performing complex calculations, generating reports, or conducting advanced data analysis, Copilot enables faster, smarter workflows.

For professionals looking to stay competitive, mastering Microsoft 365 Copilot is no longer