SheetSentry

Spreadsheet-first finance teams are beginning to generate formulas and analysis through conversational tools without the review infrastructure of a data warehouse. The supplied research confirms an active spreadsheet analytics product, viable add-in distribution and local calculation and signing primitives. It found no reviewed product dedicated to a signed calculation trail for in-sheet AI. That is a packaging gap, not proof that formula auditing is absent. Numeric competitor and proposed prices are omitted because they are observed market references, not fixed product pricing.

A generated formula is a proposal, not a correct calculation. Formula syntax, referenced range, hidden cells, workbook links, dates, currencies, units, signs, rounding, circular references and business definitions can all fail. Deterministic tests can expose contradictions but cannot prove a number is financially appropriate. A signature or hash proves integrity of a bounded workbook state and review event, not accuracy, authorization, audit sufficiency or compliance. Spreadsheet contents may include payroll, customer and financial data that cannot be sent to an unapproved model.

Workbook, sheet, cell range, input snapshot, business definition, model request, generated formula, formula diff, test, warning, reviewer finding, approved write, recalculation, signed receipt, report, finance decision and business outcome remain separate. SheetSentry should make machine contribution visible while keeping accounting judgment and sign-off with authorized people.

A finance or analytics lead at a smaller company using spreadsheets for material reporting and allowing approved AI-assisted formula or analysis workflows.