What happens if AI makes a mistake answering my customers?

Question

Accepted Answer

```html
 When Your AI Makes a Mistake, You're Still Liable

Let's be direct: if an AI employee answers your customer wrong, you own it. The customer doesn't care if it was human or machine. Your reputation takes the hit. This is why the design of AI customer service matters more than raw accuracy metrics.

The real question isn't "will it make mistakes?" — it's "how do you contain them?"

Three Layers of Protection

Knowledge boundary.  Good AI employees like  Sage (AI Support Agent, $229/mo)  only answer from YOUR documentation. If the answer isn't in your docs, Sage doesn't guess — it escalates to a human. You control the training data. You control the risk. 
  Human review loops.  For high-stakes answers (billing, medical, legal), you set the rules. Sage flags uncertain answers for your team to verify before sending. Mistakes get caught before they reach customers. 
  Transparent handoff.  When an AI hits its limits, it should say so. "I'm not sure about that — let me connect you with someone who can help." That's better than confident nonsense.

Most AI mistakes happen because the AI was trained on the wrong data or given authority it shouldn't have. At Relvexa, our AI employees are purpose-built for specific roles with clear boundaries.  Maya  (AI Receptionist, $349/mo) takes appointments and transfers calls — low-risk tasks. She doesn't diagnose patients or promise refunds.

The cost of a mistake is real. A wrong answer costs you a customer. But the cost of *no system* is higher — you're manually answering the same questions 100 times a day instead of scaling.

Start small with low-risk interactions. See how your customers respond. Build confidence. Most teams find that AI makes mistakes at roughly the same rate a tired employee does at 5 PM on Friday — which means the real win isn't perfection. It's consistency, speed, and the fact that your AI doesn't take sick days.

Next step:  See how Sage or Maya would work in your specific workflow.  Check out Maya's setup here  — you'll see exactly what she handles and where the handoff to humans happens. 
```