Use Excel Copilot for Close Analysis and GL Summarization
What This Does
Excel Copilot can summarize general ledger data, build variance analysis formulas, identify unusual transactions, and generate pivot-style summaries from plain-language questions, without manually building pivot tables. For a Controller, this means faster analysis of close data and faster identification of items requiring management attention.
Before You Start
- You have Microsoft 365 (Business or Enterprise plan with Copilot enabled)
- Your GL data is in Excel (exported from your ERP system)
- Data is in a table format with column headers (Account, Amount, Department, Date, etc.)
- You're signed into your Microsoft account
Steps
1. Open Copilot in Excel
With your GL export open, go to the Home tab and click the Copilot button (sparkle icon) on the right end of the ribbon.
What you should see: A Copilot panel opens on the right side of your screen with a text input box. Troubleshooting: If the button is grayed out, your Microsoft 365 plan may not include Copilot. Check with your IT administrator.
2. Summarize spending by category
In the Copilot panel, ask a plain-language question about your data:
Type: "Summarize total spending by department for the current month. Rank from highest to lowest."
What you should see: Copilot creates a summary table showing spending by department without you having to build a pivot table manually.
3. Identify large or unusual transactions
Type: "Show me all transactions over $50,000 in the SG&A category this month."
What you should see: A filtered view or new table showing only those transactions, useful for close review and variance explanation.
4. Build a variance formula
For variance analysis, use Copilot to write the formula instead of building it yourself:
Type: "In column G, write a formula that calculates the variance between actual (column D) and budget (column E), and flags 'REVIEW' if the variance is greater than $10,000 or greater than 5% of budget. Otherwise flag 'OK'."
What you should see: Copilot writes the formula, explains what it does, and inserts it in column G.
5. Highlight outliers for review
Type: "Highlight all rows where the amount is more than 2 standard deviations from the average for that account code."
What you should see: Copilot applies conditional formatting or creates a filtered view of statistical outliers, useful for fraud detection and unusual accrual identification.
Real Example
Scenario: It's day 3 of month-end close and you have 2,000 rows of GL detail exported from your ERP. You need to quickly identify what's driving an SG&A overage before the 4pm status call with the CFO.
What you do: Open the GL in Excel, open Copilot, ask: "What are the top 10 largest SG&A transactions this month? Show the vendor/description, amount, and GL account code."
What you get: An instant table of the 10 largest transactions, with no pivot table or SUMIF required. You can walk into the CFO call with the specific vendors driving the overage.
Tips
- Make sure your GL export has clean, consistent column headers. Copilot needs to know what each column means.
- Ask follow-up questions in the same session: after getting a summary, ask "Now show me the same summary for last month" for a quick comparison
- For sensitive variance explanations, always verify the numbers Copilot surfaces against the source ERP. Copilot reads your Excel data, so accuracy depends on data quality.
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