AI-Ready Critical Thinking
Overview
AI tools produce fluent, confident, well-structured answers. Fluency is not accuracy. The specific risk in an organisation is not that AI is wrong — it is that AI is wrong in a way that reads as authoritative, and nobody in the approval chain has the habit of checking.
This programme builds that habit. It covers how these systems actually generate text, which failure modes follow from that, and a practical routine for interrogating an AI-generated answer before it goes anywhere near a decision.
It is deliberately tool-agnostic and requires no technical background. It is delivered in-house so the examples can be drawn from your own documents and workflows.
What you will learn
- Understand in plain terms how AI systems generate their answers
- Recognise the failure modes that follow from how they work
- Spot fabricated facts, citations and confident nonsense
- Test the reasoning in an argument rather than only the conclusion
- Decide what genuinely still requires human judgement
- Write prompts that produce checkable rather than plausible output
- Apply a verification routine proportionate to the stakes
- Set team norms for disclosing and reviewing AI-assisted work
Who should attend
This programme is designed for practitioners in the following roles.
- All professional staff
- Administrative and support teams
- Analysts and report writers
- Managers reviewing AI-assisted work
- Communications and marketing teams
- Anyone approving work they did not write
Sectors
- All sectors
Programme agenda
How it works and how it fails
- How AI systems generate text, explained without the mathematics
- Why fluency and accuracy are separate properties
- The predictable failure modes: fabrication, stale information, false confidence
- Spotting invented facts, citations and statistics
- Where bias enters, and what it looks like in output
- Workshop: finding the errors in a set of plausible AI-generated documents
A routine you will actually use
- Testing reasoning rather than only checking the conclusion
- Separating verifiable claims from unverifiable assertions
- Prompting for checkable output: showing sources, stating uncertainty
- Proportionate verification — matching effort to stakes
- What still requires a human, and being able to say why
- Team norms: disclosure, review and accountability for AI-assisted work
- Case exercise: building a verification standard for your own team
Your facilitator
Industry Expert
This programme is delivered by a practising specialist with direct operating experience in the field, selected for the specific cohort. Facilitator details and a full biography are issued with the joining instructions once a session is confirmed.
Certification
Every delegate who completes the programme receives a ForumMinds certificate of completion, issued digitally within five working days of the final session. The certificate states the programme title, the delivery dates and the contact hours completed.
Others in this area
Run this for your own team
This programme can be delivered in-house at your premises and rebuilt around your equipment, processes and case material.