AI in Excel: How to Analyze Excel Data with AI

A practical guide to AI in Excel: the three ways to analyze data in Excel with AI, what artificial intelligence can actually do with a spreadsheet, where it quietly gives up, and how to get answers without writing a single formula.

Most people don't get stuck in Excel because their data is hard. They get stuck because they can't remember whether it's SUMIFS or SUMIF, or how to bully a pivot table into grouping by month. That's the part AI in Excel takes off your plate. You type what you actually want to know, and it works out the formula or the chart. Below I'll walk through the three ways to do Excel data analysis with AI right now, what each is genuinely good at, and where each one leaves you hanging.

What "AI in Excel" actually means

"AI in Excel" is really three different things wearing the same label, and it pays to separate them before you commit to a tool:

• AI built into Excel. Microsoft 365 Copilot lives inside the app, reading the sheet you're on to suggest formulas, build charts, and summarize tables.
• AI you upload a file to. General assistants like ChatGPT or Claude that take an xlsx or CSV and answer questions about it in a chat.
• A dedicated AI data analytics tool. A platform that imports your spreadsheet as a saved dataset, then lets you and your team ask questions in plain English and publish the answers as reports.

All three let you analyze data in Excel with AI. Which one fits comes down to what you're actually doing: editing a workbook, poking at a one-off file, or running shared analysis for a team.

How to analyze data in Excel with AI (3 methods)

Method 1 — Microsoft 365 Copilot, inside Excel

If your data already sits in an Excel workbook, Copilot is the shortest path. Select the table, open Copilot, and ask for what you want: "show sales by region as a bar chart," or "which products declined quarter over quarter." It writes the formula or drops the chart straight into the sheet, and nothing leaves your Microsoft 365 tenant. That last part matters if you deal with anything sensitive.

Heads-up on cost: Copilot is a paid add-on stacked on a Microsoft 365 licence, roughly US$18–21 per user each month for business plans as of July 2026. Great for one person's workbook. Much weaker once you need shared, always-current analysis across a team.

Method 2 — upload the file to ChatGPT or Claude

Want to interrogate one file and really dig in? Upload the xlsx to ChatGPT's Advanced Data Analysis or to Claude and start asking. Both write and run code behind the scenes to crunch numbers, run stats, and sketch charts, and they cope surprisingly well with messy, half-cleaned data. The catch is memory. Every chat starts from zero, there's no saved dataset to come back to, and nothing updates on its own. It's a brilliant one-off, not a system of record.

Method 3 — a dedicated AI data analytics tool

Now the flip side. When the same spreadsheet gets pulled apart week after week, and by more than one person, uploading it over and over stops being cute. A dedicated tool changes the shape of the job: you load the file once, ask your questions, and publish the answer as a report anyone on the team can open. Because the dataset lives in the tool instead of in some email attachment, it can refresh itself on a schedule rather than reflecting whatever version you happened to upload last month.

This is the category we put ten tools through, and it's exactly what Quiriz is built for.

What AI in Excel can do

Across all three methods, artificial intelligence knocks out the chores that used to eat an afternoon:

• Answer questions in words, not formulas. Ask for "average order value by month" and skip the syntax entirely.
• Write and explain formulas. Describe the goal, get back the SUMIFS or XLOOKUP, plus a plain reason it works.
• Build charts and pivot summaries. One sentence in, a chart out. No menu-diving.
• Clean messy data. Split columns, fix data types, flag duplicates and outliers.
• Summarize and spot trends. Surface what moved and, usually, why it moved.
• Forecast. Rough projections off your historical numbers.

The limits of AI inside Excel

All of this is genuinely useful, but it's boxed in by the spreadsheet it lives in. Three limits tend to show up fast:

• One workbook at a time. The analysis is stuck inside a single file. Pulling answers across many files, or building the "single source of truth" a team wants, isn't how these tools think.
• Per-user, not per-team. Copilot and the chat tools are licensed and scoped to one person. There's no shared, governed dataset that everyone queries the same way.
• Manual refresh. Upload-based analysis is a photograph, not a live feed. When next week's numbers land, someone re-uploads and re-asks the same questions.

If you're a solo analyst working one file, none of that will bother you. But for a team rerunning the same Excel data analysis every single week, this is exactly where the friction sneaks back in.

From one spreadsheet to team analytics

That's the gap Quiriz is meant to fill. You import the Excel or CSV file once as a saved dataset, and after that anyone on the team can ask it questions and get an answer, table, or report back in seconds. The dataset refreshes on its own (on a schedule, by email, by Slack, or via API), so nobody's quietly working off last month's numbers, and reports land in your own templates instead of buried in one person's private workbook.

Now the honest caveat. If you're the only one who ever opens the file, don't bother with any of this. Copilot or ChatGPT is simpler and cheaper for a solo act. Quiriz only starts to earn its place when someone keeps pinging you for the same figures, or when the weekly report has to look identical every time without you rebuilding it by hand.

Frequently asked questions

Pricing referenced is as published by each vendor as of July 2026 and changes often, so confirm current figures on each provider's site.