A model prepared for a lender's due diligence can look sophisticated and still contain formulas that do not do what they claim. That is a different problem from wrong assumptions.

This connects directly to financial modeling and business valuation work. A valuation built on an unaudited model carries any error straight into the final number, and it may go unnoticed until it is too late to matter.

Why careful modelers still make mechanical errors

A broken formula reference, a hardcoded number where a formula should be, or a circular reference resolved incorrectly can sit undetected in a complex model for months. This is more likely once several people have edited it over time with no single owner tracking changes.

What a model audit tests

The audit checks formula integrity on every worksheet, not only the summary output. It checks that the formulas calculate what the stated assumptions say. It also tests the structure under sensitivity: when a key assumption is pushed to a reasonable extreme, does the model respond sensibly, or does it break or return output that makes no sense?

A hypothetical example

Imagine a model submitted with a project finance application. The lender's credit team stress-tests it directly, and a formula error that surfaces during that review costs the borrower time and credibility.

What the engagement delivers

A structured audit report listing every material error found, ranked by its impact on the model's output. We also supply a corrected, verified version the model owner can rely on.

A checklist your team can reuse

Beyond fixing the immediate model, the engagement can leave your team a lightweight checklist of the error types found. The same team can then apply similar discipline to future models.

When an audit is worth its cost

Not every simple internal model needs a formal independent audit. Models that support large decisions, such as financing, an acquisition or a sale valuation, justify this level of review, because an undetected error costs far more than the audit.