Coming soon

AI can build a financial model in minutes, but who checks it? Michael looks inside leading advisory firms at how AI-built models are reviewed.

Zainab and Vaughan show how to question a financial model, using AI to build scenarios, sensitivities and Data Tables, and why people trust some models and not others.

Sloka shows how a three-statement model feeds a valuation, what models can and can't tell you about value, and where valuations most often go wrong, using no-name examples.

Danielle shows how nested arrays solve real modelling problems, and how review habits must change when one cell can hold a whole depreciation profile or scenario path.