What about hallucinations — won’t AI just make things up?

What about hallucinations — won't AI just make things up?

Yes, AI can be wrong. Copilot grounded against your business data hallucinates far less than open-ended ChatGPT, but it still can. The fix isn’t to avoid AI — it’s to build verification into your workflows. AI as draft, human as editor.

Hallucinations happen because language models predict plausible text without “knowing” facts. They’re better when grounded against specific data (Copilot reading your SharePoint), worse when generating from nothing (ChatGPT writing a research summary). The most dangerous failure mode is when the AI is confidently wrong — the answer sounds right, looks right, but contains made-up details.

The defence is process, not technology:

  • Treat every AI output as a draft. It needs to be reviewed before it goes to a customer, supplier, or regulator.
  • Verify facts that matter. Names, dates, amounts, citations — check them against the source.
  • Watch for confidence cues. AI doesn’t say “I’m not sure” naturally; train staff to ask “does this match what I know?”

Our SMB1001 Cyber Essentials training course and our AI rollout training emphasise the AI as draft, human as editor model. We also teach prompt techniques that reduce hallucination — grounding instructions, asking for sources, using structured output formats.

Want to talk through this in your specific business context? The first 30 minutes is free — phone or Microsoft Teams. Book a free 30-min scoping call →

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