Google Gemini for Finance, and Gemini Notebook

Gemini is the AI you already have if your company runs on Google Workspace. No procurement conversation, no new vendor, no security review. It is in the side panel of Sheets and Docs and Gmail already, and Google folded the AI features into the Workspace subscriptions rather than selling them separately.

That availability is most of the argument for using it. On raw capability it trades blows with the others and the ranking changes every few months. On whether you can start on Monday, it wins in a Google shop and loses everywhere else.

So here is what it does well for finance work, where it falls behind, and the one part of it I would use even if my company ran on Microsoft.

Where Gemini fits for finance

The job	How it goes
Drafting in Docs and Gmail	Good. Same standard as the other frontier models, and it is already in the window you are typing in.
Working in Sheets	Useful and improving. Fine for building a structure, writing a formula, cleaning a column. Do not let it be the calculator.
Reading a stack of documents	Its strongest showing, through Gemini Notebook. See below.
Long analysis of a large export	Adequate. The context window is generous, and generous context is not the same as careful arithmetic.
Anything that must stay inside Microsoft 365	Wrong tool. That is Copilot, and it is not close.

The honest summary is that the model is competitive and the integration is the reason to pick it. If your finance data lives in Sheets and your documents live in Drive, the tool that is already looking at both starts several steps ahead.

Gemini Notebook, the part worth your time

Google renamed NotebookLM to Gemini Notebook, and it is the piece of the Google stack I would recommend to someone who otherwise uses nothing from Google.

The idea is narrow and that is why it works. You give it a set of sources, and it answers only from those sources, with a citation back to the passage it used. It will not reach for general knowledge to fill a gap, and it tells you when the sources do not answer the question.

For finance that solves a specific and common problem: you have forty documents and a question, and you need the answer plus the paragraph it came from because someone will ask.

• A stack of vendor contracts and the question of which ones auto-renew in Q4.
• Eighteen months of board packs, and the question of what you told the board about a metric last time it moved this way.
• The policy documents no one can ever find, turned into something the team can ask instead of emailing you.
• A long technical accounting memo you have to summarize for people who will not read it.

The citation is what makes it usable in finance. An answer you can trace to a page is an answer you can put in front of an auditor. An answer you cannot trace is a starting point.

Bigger source libraries and higher limits sit behind the AI Expanded Access add-on Google introduced on 1 March 2026, which is worth knowing before you build a workflow around a limit you are about to hit.

Working in Sheets without getting burned

The rule is the same one that applies to every model in every spreadsheet. Have it write the formula. Do not have it do the arithmetic.

A model asked to sum a column will produce a number that is usually right and occasionally not, with no way to tell which. A model asked to write the formula produces something Sheets calculates, which is either correct or visibly broken.

Here are the first 20 rows of a GL export in Sheets.
Columns: Entity, Account, AccountDesc, Period, Amount, CostCenter.
Period is text like 2026-08. Credits are negative.

Write the formulas, not the answers.
I need, in a new tab:
1. Opex by CostCenter by Period, accounts starting with 6
2. A column flagging any CostCenter with no prior-period balance
3. A check cell comparing the total back to the source

Use QUERY where it is simpler than SUMIFS, and say which you chose and why.

That last line is worth keeping. Sheets has two reasonable ways to do most things and knowing which one you were handed matters when it breaks in four months.

Where it falls behind

Three things, stated plainly, because a page that only lists strengths is a brochure.

• Excel. Gemini lives in Sheets, and most corporate finance still lives in Excel. If your models are xlsx files with twelve tabs of dependencies, Gemini is looking at the wrong spreadsheet.
• Long-form writing. Claude is still better for anything that has to sound like a person wrote it, and the gap is most obvious on commentary that runs past a few paragraphs.
• Deep spreadsheet manipulation. ChatGPT for Excel and Claude for Excel both operate inside the workbook with more precision than the Sheets side panel currently manages.

None of that argues against using it if you are already in Workspace. It argues against switching to Workspace for it.

The security question your IT team will ask

The relevant distinction is the same one that decides every tool in this category. A personal Google account and a managed Workspace account are not the same product, and only one of them comes with the enterprise data commitments.

If your company administers your Google account, your prompts sit under your organization’s Workspace terms and admin controls. If someone on your team is pasting the same data into a personal Gemini account on their phone, that is a different arrangement entirely and it is the version most likely to be happening without anyone deciding it.

The wider version of that question, including what to write down, is in AI governance for finance teams.

Where to start

Take the last document-heavy question that cost you an afternoon. The contract review, the policy lookup, the what-did-we-say-last-time. Put the sources in a notebook and ask it.

Check three of the citations against the actual documents. If they hold, you have a workflow. If they do not, you have learned something more useful than a feature list.

For how Gemini compares against the tools you might use instead, AI tools for finance is the map, and the three-way comparison is the head-to-head on real finance tasks.