The AI Spreadsheet Assistants We Recommend

Claude for Excel is a Microsoft Office add-in that drops Anthropic's Claude into the Excel sidebar, where it can read multi-tab workbooks, edit them, and explain its work with citations back to specific cells. It reads complex multi-tab workbooks, explains calculations with cell-level citations, and updates assumptions while preserving formula dependencies. The February 2026 Opus 4.6 release closed the biggest gaps in the product, adding native pivot tables, conditional formatting, chart controls, and MCP connectors to financial data providers. The weaknesses are real but narrow: Claude for Excel is not currently included in Enterprise audit logs or the Compliance API, so observability and auditability are not available, and that matters for regulated industries. Usage is also metered against the same Claude limits that power web chat.

Microsoft 365 Copilot is the official AI layer baked into Excel, and Agent Mode reached general availability on April 22, 2026. Agent Mode runs on AI models hosted in the Microsoft cloud and does not work fully offline, but it now supports multi-step edits on Excel workbooks stored locally on Windows and Mac, a notable capability called out in the April 22, 2026 GA. Copilot's strongest argument is governance: it stays inside the Microsoft 365 boundary your IT team already controls, with eDiscovery, DLP, and sensitivity labels applied to AI output. The trade-off is the all-in cost (the Copilot add-on layers on top of an already-paid Microsoft 365 base license) and its weaker performance on the hardest analytical tasks, where it lagged Claude on multi-tab tracing in our test. From 1 December 2025, Microsoft permanently reduced the Copilot Business (SMB) rate from $30 to $21/user/month for organizations under 300 users; the enterprise add-on for larger organizations remains at $30/user/month.

Shortcut is a finance-first Excel agent that runs both as a web app and as a native Excel add-in. It automates spreadsheet work from cleaning data and writing formulas to building full financial models like DCFs, LBOs, and three-statement models, preserving formatting and formulas while supporting multi-turn edits, audits, and export to .xlsx. The product's central differentiator is that it was built for financial workflows specifically; independent testing by Wall Street Prep ranked it the strongest in its category at building a full three-statement model. Shortcut on the web maintains 95% feature parity with Excel, and the Excel Native plugin captures 100% parity to meet teams where they are. The trade-offs are scope and price: it's narrow outside finance work, and the published $40 to $500/month pricing puts the entry tier materially above the consumer-grade Claude or Copilot subscriptions.

Gemini in Google Sheets is Google's native AI layer for its spreadsheet, and as of January 2025 it's bundled into standard Workspace plans rather than sold as a separate add-on. As of April 2026, new Gemini in Sheets capabilities let users build and edit entire spreadsheets from plain-language prompts, with Gemini orchestrating the multi-step construction from start to finish on tasks like small-business financial views or project trackers. Google reports a 70.48% success rate for Gemini in Sheets on the full SpreadsheetBench dataset, autonomously manipulating complex, real-world spreadsheets. The biggest limitation is platform: the feature works best with native Google Sheets files, and to use Gemini features on an Excel file (.xlsx) you have to save it as Google Sheets first, which makes Gemini the wrong default for any Excel-first team.

Quadratic is an AI-native spreadsheet built around the idea that the AI's output should be inspectable code, not opaque cell values. Beyond formulas, the AI writes Python and SQL cells so you can do anything with your data, and it isn't a black box: Quadratic AI puts a method of analysis in your spreadsheet, and you can open and edit any cell to check the AI's work and make changes. It's also one of the few products in the category to publish a complete enterprise posture: SOC 2 Type II and HIPAA compliant, encryption in transit (TLS 1.2+) and at rest (AES-256), role-based access control, and a self-hosted deployment option so data never leaves the customer's own infrastructure. The trade-offs are familiarity and breadth: it isn't Excel and it isn't Google Sheets, the workforce that knows Python or SQL is smaller than the workforce that knows VLOOKUP, and there's a real learning curve for users unfamiliar with code-based analysis.