AI can sound right even when it is wrong

AI tools can be extremely useful.

They can help write first drafts, summarise long documents, organise notes, explain complex topics and support research.

But they can also produce information that sounds convincing and is completely wrong.

This is often called an AI hallucination.

In the legal sector, this has already caused serious problems. The Law Gazette reported that two immigration solicitors are facing SRA investigation after tribunal proceedings included false case citations, with the Upper Tribunal warning that judges’ time was being wasted searching for AI-generated authorities that had not been properly checked.

The High Court has also warned that generative AI tools are not capable of conducting reliable legal research on their own. The court said these tools can give plausible answers that are incorrect, cite sources that do not exist, or quote passages that are not in real documents.

For businesses, the lesson is clear.

AI output must be checked before it is used.

The risk applies beyond legal work

Some business leaders may think this is only a problem for lawyers.

It is not.

The same risk can appear in everyday business activity.

AI could produce:

• Incorrect claims in a proposal
• False statistics in a report
• Outdated legal or compliance information
• Misleading customer advice
• Inaccurate policy wording
• Wrong summaries of documents
• Unverified market research
• Invented source references
• Incorrect technical explanations
• Overconfident answers to staff or customer questions

The problem is that AI-generated content often sounds polished.

That can make people more likely to trust it.

If staff are busy, under pressure or not trained to check outputs, incorrect information may be copied into emails, client documents, marketing content, tenders, reports or internal decisions.

This can damage trust, create compliance risk and lead to poor decision-making.

The High Court judgment made clear that professional users remain responsible for checking AI-assisted work, including where they rely on work produced by others.

That principle applies very naturally to business: delegation to AI does not remove human responsibility.

What businesses should do now

Businesses do not need to stop using AI.

They need to create practical rules for checking it.

A sensible approach should include:

• Defining what staff can use AI for
• Making clear when AI outputs must be checked
• Requiring sources to be verified before publication
• Using authoritative sources for factual claims
• Training staff to spot confident but unsupported answers
• Creating approval steps for client-facing or public content
• Keeping human review for important decisions
• Avoiding AI-only research for legal, financial, HR or compliance matters
• Recording who reviewed important AI-assisted outputs

For SMEs, this does not need to be complicated.

A simple AI output checking policy can reduce risk immediately.

CAIT Group Ltd helps organisations create practical AI governance, staff AI guidance, output verification workflows, management training and AI risk readiness processes.

The aim is not to block useful AI.

The aim is to make sure AI helps the business without quietly introducing false information.

Practical impact by organisation type

Individuals: Staff need confidence to use AI as a support tool while understanding that they remain responsible for checking important outputs.

Small businesses: A simple AI checking process can prevent false information appearing in proposals, websites, customer emails or policies.

Medium businesses: Output verification rules help different teams use AI consistently and reduce avoidable errors.

Large businesses: Stronger governance supports quality control, auditability, reputational protection and compliance oversight.

Multinationals: Clear standards help teams across regions avoid inconsistent use of AI-generated content and unverified sources.

Public sector organisations: Human review and source checking are essential where AI supports public information, service guidance or decision-making.

CAIT service connection

This story connects directly to CAIT Group Ltd’s services:

• Staff AI usage guidance
• AI governance and policy readiness
• AI output verification workflows
• AI risk readiness
• Management team AI training
• Document handling and quality control
• Knowledge-base and retrieval chatbot readiness
• Leadership decision-making support

CAIT helps organisations use AI as a productivity tool while putting practical checks around accuracy, accountability and trust.

Are your staff using AI generated content without a clear checking process?

We can help you create simple rules, staff guidance and review workflows so AI supports your business without increasing avoidable risk.