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Microsoft Copilot in Excel can now handle more of your finance work with reusable skills and data connectors
Live financial data now flows straight into your spreadsheet. Microsoft just gave Copilot in Excel a serious upgrade for anyone who spends their day buried in spreadsheets. The update centers on three things finance teams actually care about: reusable workflows, live data straight from trusted
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Microsoft's Copilot in Excel adds skills and data connectors for finance work By Investing.com
Investing.com - Microsoft (NASDAQ:MSFT) announced Thursday new updates to Copilot in Excel designed for financial professionals, including skills for repeatable workflows, additional financial data connectors, and improved traceability features. The company introduced skills that allow teams to
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Microsoft rolled out major updates to Copilot in Excel aimed at finance professionals, introducing reusable skills for automating repeatable workflows like DCF modeling and variance analysis. The update includes new live data connectors from providers like FactSet, S&P Global, PitchBook, and Morningstar, plus enhanced traceability features that track every AI-generated change in spreadsheets.
Microsoft announced significant updates to Copilot in Excel designed specifically for finance professionals, addressing long-standing needs around workflow automation and data integration
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. The centerpiece of these AI-driven features is a new capability called Skills, which allows teams to define exactly how Copilot should handle repeatable finance workflows like building a DCF, closing books, refreshing monthly reporting models, or preparing variance analysis2
.Instead of typing detailed prompts repeatedly, users can now save a SKILL.md file in OneDrive, and Microsoft Copilot in Excel will follow those exact steps, formatting, and structure automatically
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. Microsoft provides a library of sample finance skills, and users can build custom skills using an open-standard markdown file2
. Looking ahead, partners including LSEG, Ramp, Rogo, and Vena will offer their own skills through Microsoft Marketplace later this year, with partner-built skills scheduled for Q3 20261
.The updates to Copilot in Excel extend beyond workflow automation to include expanded live data connectors that pull information directly from trusted financial sources
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. Microsoft added new connectors with CB Insights for private company intelligence, Daloopa for SEC filing data, FactSet for institutional financial data, Morningstar for investment research, PitchBook for private capital market data, and S&P Global Deterministic Retrieval for structured API-driven access2
. These join the LSEG and Moody's connectors that launched in May1
.For finance professionals, this means significantly less copy-pasting from reports and more AI-driven financial analysis grounded in current numbers
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. FactSet is currently in preview and will reach general availability in July, though some connectors will require separate subscriptions2
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Recognizing the trust issues that have historically plagued AI in finance, Microsoft built in enhanced traceability features
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. The new Plan with Copilot mode outlines exactly which ranges, worksheets, formulas, and assumptions the tool intends to update before making any changes2
. Every edit remains fully traceable afterward, with links back to affected cells, and the Show Changes pane now clearly distinguishes what Copilot did versus what human collaborators modified1
.These updates build on Excel's existing Agent Mode and follow Microsoft's recent acquisition of finance AI startup Fintool, signaling the company's deepening commitment to the financial sector
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. Personalization, workbook rules, pre-built skills, federated Copilot connectors, Plan with Copilot, and Copilot attribution in Show Changes are now generally available for Microsoft 365 Copilot customers across Excel for Web, Windows, and Mac2
. Custom skills are currently available via the Insiders channel for Windows and Mac, rolling out to general availability next month2
. The timing suggests Microsoft is positioning itself to capture more of the financial workflow market, particularly as DCF modeling and other complex analytical tasks become increasingly automated through reusable skills for automating tasks.Summarized by
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