AI financial model generators vs a verified model
AI spreadsheet assistants can now draft a complete-looking financial model in minutes. Independent tests in 2026 found the same thing each time: the structure is useful, but the formulas still need an expert to check and fix them. A verified model works the other way round. AI helps collect your inputs, a fixed and tested template writes every formula, and the numbers are recomputed independently before you see them. This page compares the two honestly, so you can choose the right tool for the job.
What AI spreadsheet assistants are good at
Tools such as Claude for Excel, ChatGPT in Excel, Microsoft 365 Copilot and Shortcut work inside a spreadsheet and respond to prompts. They are genuinely useful for:
- Scaffolding. Laying out tabs, headers and a first structure in minutes.
- Explaining. Walking through what a formula does or what a ratio means.
- Iterating. Rewriting a section when you describe what you want.
- One-off analysis. A quick sensitivity, a chart, a summary table.
If you are a finance professional who will review every cell anyway, an assistant can save hours of typing.
What independent tests found
Ankura (April 2026) tested five tools: Claude for Excel, M365 Copilot (Agent Mode), ChatGPT in Excel, and Shortcut on its free and Pro tiers. Each built three models for a fictional company: a long-range plan, a 13-week cash flow forecast and a customer profitability analysis. All five produced complete model structures in roughly 7 to 10 minutes. The conclusions:
- "no tool produced a production-ready model."
- "Every tool had fundamental formula mechanics wrong or an incomplete, inconsistent structure."
- "The value today is in scaffolding and structure; the formulas still require meaningful human rework."
The authors note that each prompt was run once without follow-up, and that iterative prompting might do better. Source: Ankura — Putting AI to the Test.
SpreadsheetBench 2 (2026), an academic benchmark, reports that the best model tested scored 34% on its financial-modeling tasks (arXiv).
None of this means the tools are useless. It means the output is a draft, and the person who signs off on the numbers still has to check them.
Why errors are hard to see
A generated model looks finished. Columns are labelled, totals are bold and the chart renders. The problems that matter to a lender or investor are invisible at a glance:
- a typed number where a formula should be, so changing an assumption doesn't flow through;
- a formula that differs in one period from its neighbours;
- a balance sheet that balances in the last year but not in month 7;
- cash flow that forgets loan principal;
- a "downside" scenario where costs go down as well as revenue.
If you can find these yourself, an assistant is a good accelerator. If you can't, you are relying on a draft you can't check.
How a verified model is built differently
StartupModel separates the parts that need judgement from the parts that need to be exactly right:
- You answer a questionnaire: business type, goal, stage, horizon, monthly or annual, and your key numbers.
- AI fills a structured brief: your drivers with low, base and high values, validated against limits. AI never writes formulas into your file.
- A fixed, tested template builds the workbook. It is the same code for every customer and has its own automated tests. The same formula runs across every period by construction.
- The spreadsheet is recalculated, and every scenario and year is recomputed independently in plain Python. The two must agree within $1.
- The Checks sheet must not fail. Its live formulas confirm, for example, that the balance sheet balances in every period, closing cash reconciles, annual totals tie to period detail and scenario inputs are ordered the right way.
- A model that fails is never delivered.
The trade-off is flexibility. An assistant will attempt anything you describe. A template covers only the business types it was built for, and only those can be ordered.
Side by side
| AI spreadsheet assistant | StartupModel | |
|---|---|---|
| Who writes the formulas | The AI, from your prompt | A tested template |
| Same formula across periods | Depends on the output | Enforced by construction |
| Independent check of the numbers | You | Every scenario-year recomputed, within $1 |
| Checks sheet in the file | If you ask and build it | Always |
| Low / base / high switch | If you ask and build it | Always, one cell |
| Business types | Anything you describe | The templates available |
| Pricing (as of October 2026) | Subscriptions from about $20 a month; Shortcut Pro $125 a month | $149 Light / $349 Full, one payment |
| Best for | Analysts who review every cell | Owners and founders who need numbers they can rely on |
Subscription prices as reported in October 2026 (for example by GPT for Work); check each vendor's site for current pricing.
When to use which
Use an AI assistant if you are comfortable auditing formulas, your business doesn't fit a standard template, or you need a quick one-off analysis.
Use a verified model if the file is going to a lender, an investor or an adviser who will check it, and you'd rather not stake the application on formulas nobody has verified.
Use both if you like: start from a verified model, then use an assistant to add an extra analysis tab. The Checks sheet keeps running as you edit, so if a change breaks the core statements, you'll see it there.
Sample
Download a sample café model (.xlsx) and open the Checks sheet first.
Build my verified model — from $149 · How to check any financial model · All custom financial models