What happens when AI makes a mistake in my business?

Why AI gets things wrong

Language models predict likely answers; they do not know when they are wrong. They can invent facts, misread an unusual document or apply a rule in the wrong situation. Giving the AI your own approved information to work from, and clear instructions on when to hand over to a person, reduces this a lot but never to zero.

Guardrails that work

Limit what the AI can do on its own: it can draft a refund email but not issue the refund, for example. Keep a log of every action so you can trace what happened. Sample and review output regularly, more often at the start. When something goes wrong, fix the cause, such as a missing instruction or outdated information, rather than just the single case.

Responsibility stays with the business, so you should always know which steps are automated and who checks them. ForceMX documents every workflow and reports on errors and fixes each month.