What happens when the AI gets something wrong?
Short answer
It will get things wrong, the same way a new hire does. The difference between a nuisance and a real problem is whether the mistake was caught quickly, whether it could commit you to anything, and whether the same mistake can happen twice.
Yourself, or with the pros
Reviewing transcripts weekly and fixing what you find is well within any operator's ability and catches most issues.
Automated monitoring, alerting, and root-cause fixes to the underlying rules are where a dedicated team earns its place.
The three kinds of wrong
A factual error — wrong hours, wrong coverage. A judgement error — handling something it should have escalated. A systems error — the message never sent, the record never saved. They have different fixes, and only the first is really about the model.
- Factual: fix the source information the AI reads from
- Judgement: tighten escalation rules and narrow the scope
- Systems: add alerting, because silent failures are the expensive ones
Contain first, correct second
Containment means a mistake cannot commit you to a price, a timeline, or a legal position. If a wrong answer costs a follow-up call, that is a nuisance. If it costs a discounted treatment you must honour, the scope was set too wide.
Have a correction path before you need one
Decide in advance who reviews escalations daily, how a customer flags a bad interaction, and who has authority to switch the AI off for a channel. A written path turns an incident into a routine, which is the whole point.
Fix the rule, not the instance
Apologising to one customer is necessary but not sufficient. Every mistake should end with a change to the underlying information, scope, or escalation rule, so the same failure cannot recur. Without that step you are managing symptoms forever.
What actually breaks
- A wrong answer discovered weeks later in a review, not in a log
- A fix applied to one conversation while the rule stays wrong
- No kill switch, so the only options are live or a lengthy vendor ticket
Signals to look for in your own operation
- You know who reads escalations and how often
- You can turn a channel off yourself within minutes
- The last mistake produced a rule change, not just an apology
Where this leads
If this decision points toward doing something, it usually points at Support. We are an implementation partner, not a DIY platform — we build the systems, hand them over documented, and your team runs them. If the honest answer is that you should wait or do it yourself, that is a fine outcome too.
Frequently asked
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