Question 1

How do you reduce AI hallucinations in customer support?

Accepted Answer

Reduce AI hallucinations in customer support by grounding every answer in current, approved company data, requiring the AI to cite its sources, instructing it to say it doesn't know and hand off when information is missing, limiting it to defined topics, keeping knowledge accurate, and testing changes against a set of real questions before release.

Question 2

What is an AI hallucination?

Accepted Answer

When an AI produces a confident answer that is false or not supported by its sources.

Question 3

Can hallucinations be eliminated?

Accepted Answer

Not entirely, but grounding, citations, scope limits and testing reduce them sharply.

Question 4

Does RAG stop hallucinations?

Accepted Answer

It reduces them by giving the model facts, but poor retrieval or missing data can still lead to errors.

Cause	Fix
No relevant data retrieved	Better retrieval, more complete knowledge
Stale content	Live sync with source systems
Missing relationships between records	Connected data such as a knowledge graph
Over-eager instructions	Allow “I don’t know” and handoff
Open-ended scope	Restrict to supported topics
Untested changes	Evaluation sets before release

How do you reduce AI hallucinations in customer support?

Causes and fixes

Monitor in production

Frequently Asked Questions