Here's the mistake I see almost everyone make when Claude shows up inside Excel. They get excited about the wrong thing. They want it to write a formula. They want it to clean a column. They want it to build a chart faster. And sure, it does all of that. But if that's where your attention goes, you've missed the actual shift. Claude in Excel is not the point. The point is what it lets you do to the model sitting in front of you.
Let me be concrete about why this matters. Formula help is the obvious part. You ask for a nested IF, you ask it to flag duplicates in a coverage list, you ask it to reconcile two tabs. Useful. But that's the floor, not the ceiling. Anyone can get that value in an afternoon. The thing that actually changes your day as an analyst is using it to review the model, not to build it faster.
So here's the workflow I'd actually run. Start with a model you didn't build. A comp table, a three-statement model, a DCF someone on the team handed you. The first question is never "make this prettier." The first question is "what are the assumptions driving the output, and where are they hidden." So you point it at the sheet and you ask it to walk the assumption stack. Revenue growth, margin path, tax rate, the discount rate, terminal growth. You ask it to pull each driver out of the formulas and list it plainly. Now the assumptions are sitting in front of you in English, not buried three layers deep in a cell reference.
Next step. Challenge the assumptions. This is where most people stop too early. You don't just want the list, you want the pressure test. Ask it: which of these inputs is the model most sensitive to. Ask it to show you what happens to the output if margin comes in two hundred basis points lighter, or if the growth rate fades faster than the sheet assumes. You're not asking it to predict anything. You're asking it to expose the leverage points so you know exactly which numbers to go verify yourself.
Then the part that actually protects you. Source tie-out. Every number that came from outside the model has a source. Revenue guidance came from somewhere. The tax rate came from somewhere. The peer multiples came from somewhere. So you take the assumptions it surfaced and you tie each one back to the document it came from. The 10-K. The latest earnings call transcript. The guidance on the last quarterly. You ask Claude to flag every input that doesn't have a clean source attached, because those are the ones that bite you in the IC meeting. A number with no source is a guess wearing a suit.
And here's the heads up, because this is where the risk lives. The model can read the transcript, but you confirm the quote. It can pull the figure, but you check the figure against the filing. It will sometimes restate a number with total confidence and be slightly off on the date, or pull last year's guidance instead of the current one. So the last step is never optional. Human review. You, reading the actual source, signing off on the actual number. The AI structures the process. It does not get the final word.
Let me say that again because it's the whole game. The value isn't speed on the build. The value is rigor on the review. You're using Claude to do the thing analysts never have enough time to do properly, which is interrogate every model that lands on your desk before you put your name on it. Walk the assumptions. Challenge the sensitive ones. Tie every input back to a dated source. Then review it yourself. That's the workflow. The Excel integration is just the room it happens in.
So if you take one thing from this, don't get distracted by the feature. Formula generation is table stakes. Everyone gets that. What separates the analyst who actually trusts their work from the one who's hoping nobody checks is the review discipline. Use the tool to surface assumptions, to pressure test them, and to force a source on every number. The faster you can see what a model is actually assuming, the faster you can decide whether to believe it.
And let me be clear about what this is and isn't, because it matters. This is an educational workflow. It is not investment advice. I'm not telling you what to buy, what to sell, or what anything is worth. I'm showing you how to structure your research process so the numbers you rely on are sourced, dated, and checked by a human before they matter. Markets involve risk. Verify your data. Confirm with the original filing. And keep a person in the loop on every number that leaves the sheet.
That's it. Claude in Excel is not the point. Model review is the point. Build less, check more, and never let a number out the door without a source and a human behind it.