The structural problem with AI billing inaccuracy is not the dollar amount of any single overcharge — it is that mechanisms for verifying AI invoices do not yet exist inside most enterprise finance functions. Most large organizations are still processing AI costs through software procurement workflows built for fixed-seat licensing, not variable token consumption; Vaudit's AI bill-auditing category is niche precisely because the problem is new.
When OpenAI and Anthropic move toward public markets , their investor relations teams will be under pressure to show revenue growth and improving unit economics simultaneously. Billing errors that favor the vendor become harder to retroactively correct once they are embedded in reported revenue figures. The enterprise customers who surface discrepancies now are the ones with leverage. The ones who wait will be arguing against a public revenue record.