One of the biggest advantages of Python in Excel is that it brings more advanced analytical tools directly into the workbook environment where so much business data already lives. Time series analysis …
AI will kill Excel only if its users stop thinking
The kind of problem Excel was built for There’s a scene in Seinfeld where Kramer and Newman realize they can get 10 cents per bottle in Michigan instead of 5 cents in New York. Naturally, they …
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How to build a simple Excel model auditor with Python
With AI assistants and Excel agents now capable of producing entire workbooks from a prompt, we’re entering a world where models can be created in seconds. That’s exciting, but it also raises an …
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How test-driven instructions can improve Excel AI agents
In a previous post, I looked at how to write better instructions for Agents in Excel: how small shifts in framing can dramatically improve the quality of what the agent produces. Here I want to …
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How to identify hidden risks in Excel-based decisionmaking
For many of the teams I work with, Excel isn’t an occasional tool. It’s the foundation of how decisions get made. Forecasts, budgets, scenario plans, capacity models, pricing analysis, investment …
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How to turn Excel training into a revenue engine
When most companies think about Excel training, they treat it as a routine expense. Something that helps people work a little cleaner, a little faster, and with fewer mistakes. That is the traditional …
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