An AI hallucination is when a language model gives a confident answer that's false or unsupported, such as a made-up part number or a procedure step that isn't in the documentation. It's the biggest reliability risk when putting AI in front of frontline workers.
Language models are built to produce text that sounds right, and without guardrails they'll fill in gaps with invented details. For a technician working on live equipment, a made-up torque value or a fake safety bypass could be dangerous.
Grounding answers in approved content, citing the source passage, requiring verification steps, and keeping a human expert one click away all lower the risk of hallucinations and limit their impact.
ResolveGrid generates answers from the organization's published knowledge base and cites the passages they draw from. When the AI can't find a grounded answer, it's designed to say so and offer a live expert instead of guessing.