The user asking for help with VBA formula checks in a financial due diligence data book is running into a familiar wall. They're smart enough to build a macro, but the macro keeps stumbling on complex tables. Our take is straightforward: the problem isn't the code, it's the tool. You are trying to solve a modern data-integrity problem with a legacy spreadsheet engine, and that mismatch will keep producing errors no matter how many conditions you add.
Think about what's actually happening here. Financial due diligence data books are sprawling. They contain dozens of tabs, hundreds of formulas, annual columns that must match monthly sums, and consistency checks across rows that span multiple years. A VBA macro can scan cell by cell, but it cannot *understand* the intent behind the formulas. It sees a SUM formula in a cell and a different SUM in the next row, but it cannot tell you whether the second one is wrong because the annual total should equal the monthly total, or because someone accidentally extended the range to include a header. The macro flags everything, and then you have to manually triage the noise. That is not a workflow improvement; it is a new kind of busywork.
What this user actually needs is a system that knows the structure of their data. They need a spreadsheet that treats formulas as logical relationships, not just text strings in cells. An AI-native spreadsheet can do that. It can learn the pattern of a "consistent row" by analyzing the column headers and row labels. It can recognize that an "annual column" is supposed to be the sum of twelve monthly columns, and flag it only when the math fails, not when someone used a slightly different reference style. This is not about adding more conditions to a macro. It is about replacing the macro with a smarter foundation.
For anyone building financial models or due diligence workbooks, the practical takeaway is this: stop layering error-checking scripts on top of a tool that was designed in the 1980s. The time you spend debugging your VBA is time you could spend letting a modern system handle the verification automatically. The errors you catch will be real errors, not false positives. And your data flow stays intact because you are not breaking it apart to run a macro, you are letting the spreadsheet itself guard the logic. That is the shift worth exploring.