What are the major flaws with automating finance and accounting operations compared to sales and marketing functions when using AI?

The main problem with automating finance is the risk of costly mistakes. If an automation glitches and adds extra zeros to an invoice or payroll, you can instantly create a huge loss—think turning a $1,000 payroll into $10,000, which dwarfs the modest time savings. The marginal benefits of automation in finance are small, while the potential downsides are massive, especially when the automation interacts with bank accounts. For example, automating payroll for ten staff might save only 40 minutes a month, which translates to about $15 in savings—hardly worth the risk of a $99,000 error. Instead of fully automating, I recommend doing the heavy‑lifting manually, then using a simple queue to batch payments (e.g., calculate amounts, then push transactions through Wise once or twice a month). You can also leverage AI for tasks like parsing financial statements, generating cheap analysis packages, or automating bookkeeping, but keep the core financial actions under human control because the juice is often not worth the squeeze.