Hallucination (AI)
Last updated March 25, 2026
AI hallucination occurs when an AI generates a response that sounds confident but contains fabricated or inaccurate information not grounded in verified data.
AI hallucination is when a support AI generates a confident-sounding response that is factually wrong, makes up information, or provides guidance not based on your actual policies or documentation. This is one of the biggest risks of deploying AI in customer support. Knowledge grounding and training on verified data are the primary defenses. eesel AI specifically markets its zero-hallucination approach.
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Frequently Asked Questions
How common are AI hallucinations in support?
Without proper knowledge grounding, hallucination rates can be 5-15% of responses. Well-grounded AI reduces this to under 2%.
How do you prevent AI hallucinations?
Train AI exclusively on verified documentation, restrict responses to grounded content, implement confidence scoring, and route low-confidence queries to humans.
What is the worst case for AI hallucination in support?
AI could make up refund policies, quote wrong prices, provide incorrect technical instructions, or promise actions the company cannot fulfill, creating legal and trust issues.