How COPILOT in Excel is changing FP&A modeling

Ver el perfil de Carl Seidman, CSP, CPA

Helping finance professionals master FP&A, Excel, data, and CFO advisory services through learning experiences, masterminds, training + community | Adjunct Professor in Data Analytics | Microsoft MVP

Hello to the new COPILOT function in Excel. This is going to change the way we use Excel and FP&A modeling in a major way. Here's some of what to expect: (1) Generating Summaries: COPILOT will examine large data sets and summarize them into clear, concise narratives. It will help you identify trends that you may not have spotted otherwise. (2) Creating lists and dynamic tables: The COPILOT function can create lists and dynamic data tables that can drive financial models. While Power Query is still a go-to option for connecting Excel to back-end data, this offers a new way to tee up financials for use in forecasting and analysis. (3) Classifying data: You can use COPILOT as a function to categorize non-financial data such as written feedback or survey responses into useable formats. This allows seamless work within Excel, instead of needing to leave the software or use half-baked add-ins that don’t work very well. Suggestions for getting the most from the Excel COPILOT function: (A) Be concise: Like with any generative AI tool, how you write your prompts makes a huge difference. Be objective, be clear, and be contextual. The better your instructions, the better your outputs. Treat Copilot like it's a child who may not know what you're talking about. We're not yet at a stage where Copilot can read our minds and our work habits. (B) Be direct: Use instructions like "rank" or "summarize" or "categorize" to instruct COPILOT to perform those commands. Being vague is not a good strategy for getting the most from the tool. (C) Be easy to work with: COPILOT (the function) only uses data available within the LLM itself. If you need the COPILOT function to analyze workbook data, first import that data into your file before referencing it. Like with any AI-generated results, especially in finance, outputs should be reviewed and validated for accuracy. These are great tools, but they aren't fool-proof. -------------------- When I developed the first Copilot in Excel for FP&A course for LinkedIn Learning, I knew that it was only the beginning of AI-powered FP&A within the most widely-used finance tool on the planet. It's been interesting witnessing the development and rollout of this tool. Now we get to see one small step with a function but a giant leap forward for capability.

  • graphical user interface, application, table, Excel

Great summary, Carl! Thank you for sharing

Sarah S.

Senior Director of Finance | 18+ Years Driving M&A, VC-Backed Expansion & System Overhauls | Building Forecasting Engines That Turn Chaos Into Predictable Cashflow

2 meses

Copilot won’t replace finance brains—it’ll expose which ones were hiding behind manual grind. Summaries and classifications are helpful, but the edge stays with leaders who can turn AI’s shortcuts into sharper, faster decisions.

Salvador Allan T.

Empowering businesses, individuals, & real estate professionals with expert bookkeeping and accounting solutions that drive financial clarity, compliance, and operational efficiency.

2 meses

Love this, Carl

Carl Seidman, CSP, CPA The data classification piece could be huge for variance analysis instead of manually coding dozens of budget vs actual explanations, COPILOT could categorize them by theme (volume, pricing, timing, etc.). This would make monthly commentary much more systematic and help identify recurring drivers across departments.

Md. Omar Faruq ACMA

Finance Manager | ACMA | Costing & Budgeting | IFRS & IAS | TAX & VAT Compliance | ERP QBO XERO | Open to UAE/Qatar relocation

2 meses

Thanks for sharing, Carl

Tamer Salem Shabib .

Senior Cost Accountant and Data Analyst using power BI & Power Query & Power Pivot and Pivot Table &Excel (Microsoft Office 365)

2 meses
Umair Hameed CPA, CGA, FCCA

Strategic Finance Leader | M&A | SaaS | Finance Business Partner | Controller | Constellation Software (TSX: CSU)

2 meses

Really interesting update Carl! I’m still a new learner with Copilot in Excel and have been experimenting with how it can fit into FP&A workflows. I am also exploring how AI copilots can support finance processes more broadly specifically in the FP&A space. If anyone here has been pushing the limits with Copilot in Excel, I would love to connect and learn from your experience.

Dimitri Tsoumpas, MBA

Financial Clarity for Small Business Leaders 🔎 Unsure about your numbers? Check out my Featured.

1 mes

Great post, Carl Seidman, CSP, CPA! One of the best things I've learned to do recently is to describe the use case and then to ask the LLM to generate the best prompt, I'll then tweak the methodology from there; for instance the suggested prompt may contain something I didn't think of, and I can take things one step further, or the prompt is structured in a way that won't make the result quite right and it'll require a bit of a revision, either way I say I tend to get quicker and better results this way.

Adil Abid

CA FINALIST (20/21) | Career In FP&A |Ex-QCO | Advisory & Audit Supervisor | Senior Associate Internal and External Audit | Financial Analyst

2 meses

Thanks for sharing, Carl

Kiran Naik

Senior Manager Corporate FP&A (Immediate Joiner) 23+ Years of Rich Progressive Experience (Product Based as well as Service Based)

2 meses

Thanks for sharing, Carl. Interesting. I am Yet to Start this.

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