Testing Claude in Excel: Building a Three-Statement Financial Model: Excel learning resource
Testing Claude in Excel: Building a Three-Statement Financial Model
Useful for the automation angle because it shows AI-assisted model construction and validation inside Excel. Watch this video from Corporate Finance Institute and use it to practice Model checks and auditing and Model structure and assumptions.
Testing Claude in Excel: Building a Three-Statement Financial Model
Corporate Finance Institute
Open on YouTube (opens in a new tab)Why this resource is useful
Useful for the automation angle because it shows AI-assisted model construction and validation inside Excel.
What to practice while watching
- Model checks and auditing
- Model structure and assumptions
Recommended learning path
Start by watching the lesson once without pausing, then reopen Excel and rebuild the example with your own small dataset. Save one clean practice workbook before moving to the next topic.
Source details
- Channel: Corporate Finance Institute
- Format: video
- Level: Intermediate
- Topic: Financial Modeling
Go deeper with this skill
Build a model where assumptions, calculations, outputs, and checks are easy to trace. For this article, the goal is to practice: Useful for the automation angle because it shows AI-assisted model construction and validation inside Excel. Watch this video from Corporate Finance Institute and use it to practice Model checks and auditing and Model structure and assumptions.
Practice workbook setup
Create a small model with assumptions, historical values, forecast rows, and one summary output.
Practice workflow
- Put assumptions in one clearly marked area.
- Use consistent formulas across time periods.
- Add checks for totals, signs, and balance relationships.
- Create a scenario area before changing base-case assumptions.
Quality checks
- Hard-coded assumptions are visually different from formulas.
- Formulas are consistent across rows and columns.
- Outputs reconcile to the supporting schedules.
Common mistakes
- Hiding assumptions inside formulas.
- Copying formulas across periods without checking references.
- Using formatting to imply precision the model does not really have.
Next actions
- Add sensitivity cases for the two assumptions that matter most.
- Create a model review checklist before sharing the workbook.
Formula focus: even if this workflow is not formula-heavy, add one check cell that confirms the final output still matches the source data.
