Six high-value workflows for analysts and finance professionals
Finance professionals spend a disproportionate amount of their working day doing things that are important but not particularly analytical: cleaning and formatting data, writing formulas they half-remember, building the same charts for the same reports every month, and translating numbers into written commentary for stakeholders.
Microsoft 365 Copilot in Excel addresses most of these tasks directly. It does not replace financial judgment, it removes the mechanical labour that surrounds it, so you can spend more time on the analysis that actually drives decisions.
What Copilot in Excel Can Actually Do
As of 2026, Microsoft 365 Copilot in Excel can:
- Analyse data in natural language: ask questions about your data in plain English and receive answers without writing a single formula
- Generate and explain formulas: describe what you want to calculate and Copilot will suggest the appropriate Excel formula, including complex ones like nested IF statements, XLOOKUP, and SUMIFS
- Create charts and visualisations: ask for a column chart or waterfall chart and it generates one directly in your workbook
- Highlight patterns, trends, and anomalies: Copilot can scan your dataset and surface what it considers notable
- Summarise data into written commentary: ask for a narrative summary of financial data for a board report and it produces structured written commentary
- Format and clean data: standardise date formats, remove duplicates, highlight cells meeting certain criteria
- Suggest next analytical steps: after examining your data, Copilot will often prompt you to ask questions you might not have thought of
Six High-Value Finance Workflows
Workflow 1: Monthly Variance Analysis
Scenario: A spreadsheet with budget figures in one column and actuals in another, across 12 months and multiple cost categories. You need to identify the most significant variances and understand what is driving them.
Without Copilot:
You write SUMIFS formulas, calculate variance percentages, sort by absolute variance, and manually scan for the biggest movers. Then you write a narrative. This takes 60–90 minutes if the data is clean.
With Copilot:
Open the spreadsheet in Excel with Copilot enabled and enter the prompt below. Copilot returns the analysis and the narrative. Review for accuracy, adjust any figures that need context only you would know, and you have reduced a 90-minute task to a 10-minute one.
Useful follow-up prompts:
- Which cost categories are consistently over budget across three or more months?
- Create a column chart showing favourable and unfavourable variances by category
- Flag any variances greater than 15% of the budget figure
Sample prompt:
Analyse this budget vs actuals data. Identify the five largest variances by absolute dollar value, calculate the percentage variance for each, and explain whether each is favourable or unfavourable. Then write a four-sentence executive summary of the overall variance position that I can include in a management report.
Workflow 2: Generating Formulas for Complex Calculations
A common scenario: you need a formula that calculates the weighted average cost of inventory across multiple suppliers, but you cannot quite remember the SUMPRODUCT structure.
Without Copilot:
Without Copilot:
You search Google, find a Stack Overflow thread, adapt the formula, test it, debug an error, and eventually get it right. 15–30 minutes.
With Copilot:
In the Copilot pane, describe what you need in plain English:
Write an Excel formula to calculate the weighted average unit cost of inventory. Column B contains quantity purchased for each supplier and column C contains the unit cost paid. The result should weight the cost by the quantity purchased.
Copilot returns the formula and explains what each part does; which means you understand it, not just paste it. This matters when the formula needs to be audited or adjusted next quarter.
Useful formula prompts for finance teams:
- Write a formula to calculate the running total of expenses in column D, resetting at the start of each new month in column A
- Create a formula using
XLOOKUPto find the tax rate in my tax table based on the income bracket in cell B2 - Write an IF formula that marks a payment as ‘Overdue’ if the due date is more than 30 days before today
- Explain what this formula does:
=SUMPRODUCT((MONTH(A2:A500)=MONTH(TODAY()))(C2:C500>0)B2:B500)
Workflow 3: Accounts Receivable Ageing Analysis
Scenario: An export from your accounting system with invoice dates, due dates, customer names, and outstanding amounts. You need an ageing summary: current, 30 days, 60 days, 90+ days.
Sample prompt:
Using the invoice date in column B and today’s date, calculate how many days each invoice is outstanding. Then summarise the total outstanding amount in four buckets: current (0-30 days), 31-60 days, 61-90 days, and over 90 days. Show the result as a table and also as a percentage of total outstanding.
Useful follow-up prompts:
- Highlight the customers with more than $10,000 outstanding in the over-90-days category
- Write a short paragraph summarising the accounts receivable position for a weekly cash flow update
What would typically be 45 minutes of formula writing and table formatting is now a five-minute conversation.
Workflow 4: Cash Flow Forecasting Narrative
Your cash flow forecast model is built. The numbers are right. Now you need to write the commentary that goes with it for the board pack. This is where Copilot saves finance professionals significant time; not in the modelling, but in the translation of numbers into language.
Sample prompt:
Based on the cash flow data in this spreadsheet, write a three-paragraph narrative for a board report. Paragraph 1: summarise the overall cash position and net movement for the forecast period. Paragraph 2: identify the two or three most significant drivers of the forecast outcome. Paragraph 3: highlight any months where the cash position falls below $500,000 and note what that means for liquidity management. Professional tone suitable for a CFO or board audience.
The output will be a structured draft you review, fact-check, and refine; not a finished document, but an excellent starting point that removes the blank-page problem entirely.
Workflow 5: Cleaning Messy Data from External Systems
Scenario: A CSV export from a supplier or legacy system with inconsistent date formats, trailing spaces in account codes, and duplicate rows.
This data has several quality issues. Please: (1) identify and remove duplicate rows, (2) standardise all dates in column C to DD/MM/YYYY format, (3) remove leading and trailing spaces from the Account Code column, and (4) flag any rows where the Amount column is blank or contains text instead of a number.
Copilot will execute most of these tasks directly in Excel and flag what it cannot do automatically, a significant time saving before any actual analysis begins.
Workflow 6: Building a Financial Summary Dashboard
Turn a raw data sheet into a visual summary dashboard for a monthly management meeting by building charts one at a time:
Create a clustered bar chart comparing revenue and cost of goods sold by month for the current financial year. Label the axes clearly and add a title: ‘Revenue vs COGS — FY2025’
Create a line chart showing the gross margin percentage trend across the same period. Add a dotted reference line at 35% to show our target margin.
Create a pie chart showing the proportion of total expenses by cost category for the most recent quarter.
Each chart is generated and inserted into the workbook. You then arrange them on a new sheet and add your branding. A task that previously required advanced Excel skills or a separate BI tool is now accessible to any finance professional.
What Copilot in Excel Cannot Do (Yet)
Honest limitations matter for finance professionals who cannot afford to rely on tools that fail silently.
- It cannot access external data sources directly: Copilot works with data in your open workbook, not live feeds from your ERP or accounting system
- It can make errors with very large or complex datasets: always verify outputs against your own checks
- It does not apply professional accounting judgment: Copilot will calculate a variance and describe it, but will not tell you whether it represents an operational problem or a timing difference in accruals
- Formula suggestions should be tested: usually correct but not always optimal; test against known outputs before using in reports or models
- Cross-sheet and cross-workbook analyses are better handled via Power Query or Power BI
Getting the Best Results: Prompt Principles for Finance Users
- Be specific about the data structure: tell Copilot where your data is: ‘The invoice amounts are in column D’
- Specify the output audience: ‘Write this for a CFO’ produces very different language from ‘Write this for the operations team’
- Ask for explanations as well as results: ‘Explain what this formula does’ helps you learn from Copilot and catch its mistakes
- Iterate in the same session: do not close the Copilot pane between prompts; build on previous outputs
- Keep your data in a proper Excel table: Copilot performs significantly better when data is formatted as an Excel Table (Insert → Table)
Frequently Asked Questions
No, and this is important. Copilot is significantly more useful to people who already understand Excel well, because they can evaluate whether formula suggestions are correct and complete. We recommend pairing Copilot training with foundational or intermediate Excel training for team members who are not yet confident in Excel.
Copilot can help you write M code for Power Query and DAX for Power Pivot if you describe what you are trying to do in plain English. It meaningfully lowers the barrier to working with these tools, though it is not a full replacement for Power Query or Power BI expertise.
Yes, once data is in Excel, Copilot can work with it regardless of where it originated. The most common workflow is to export from your accounting system (Xero, MYOB, SAP, etc.) to CSV or Excel, open it, and then use Copilot to analyse and summarise it.
Yes. Microsoft 365 Copilot is available in Excel on Mac, subject to your organisation’s Microsoft 365 Copilot licence. The feature set is broadly consistent with the Windows version.
Absolutely. Even if your source-of-truth accounting data lives in Xero or MYOB, finance teams invariably work with Excel for modelling, reporting, scenario planning, and management pack preparation. Copilot adds value in all of these activities.
A focused half-day of hands-on training is enough to become confident with the core capabilities; data analysis, formula generation, chart creation, and narrative writing. A full day covers additional workflows and prompt engineering techniques that significantly improve output quality.
Learn Copilot in Excel With Finance-Focused Training
Dynamic Web Training offers Microsoft Copilot training courses designed for business professionals, including dedicated content on using Copilot in Excel for data analysis, financial reporting, and management commentary.
Our courses are delivered by Microsoft-certified trainers in small groups — in Sydney, Melbourne, and Online Live for participants anywhere in Australia. Every session includes hands-on exercises using realistic financial datasets.
Ready to learn Microsoft Copilot?
Instructor-led courses in Sydney, Melbourne & Online Live
→ View course dates & book online
View Copilot course dates: dynamicwebtraining.com.au/microsoft-copilot-training-courses
Also see our Microsoft Excel Training Courses — ideal for finance teams who want to strengthen their Excel foundation alongside their Copilot skills.
Call 1300 888 724 (Monday to Friday, 8:30am–5:00pm AEST) to discuss your team’s training requirements.
