01
Understand AI tools
Learn in plain language how AI tools produce responses, what they do well, why they sometimes get things wrong, and where they are genuinely useful.
You'll learn toExplain AI's strengths and limitations
AI education / 02
Use AI with
judgement.
Practical live education for non-technical teams who want to understand AI, use it confidently in everyday work, and recognise its limits.
No technical background required
01 / Learning areas
Understand.
Practise. Review.
The aim is not to make everyone an AI specialist. It is to give people enough understanding and practice to make sound decisions in their own work.
02
Use AI in everyday work
Practise giving clear instructions, providing useful context, improving responses, and applying AI to realistic tasks from the working day.
You'll learn toUse AI confidently for suitable tasks
03
Use AI safely
Understand sensitive information, privacy, bias, unreliable answers, human review, and the situations where AI should not be used.
You'll learn toCheck outputs and protect information
Built around your work
A practical introduction, built around your work.
Participants learn the foundations, practise with familiar tasks, and leave with a straightforward method they can use immediately.
- Introductory workshopsThe best starting point for AI beginners
- Role-specific team sessionsPractical tasks for the role
- Workflow clinicsHands-on help with one process
- Leadership briefingsClear decisions about adoption and risk
Tell us about your team, what they already know, and where you want to begin.
Plan an introductory workshop02 / A typical session
From explanation
to application.
Teaching moves from a shared foundation into guided practice, discussion, and a method participants can apply for themselves.
- 01
Build the foundations
A plain-language explanation of how language models behave, with space for questions and existing assumptions.
- 02
Practise with familiar work
Participants try realistic tasks, improve the context they provide, and compare different responses.
- 03
Review the result
The group looks for errors, missing context, bias, and privacy concerns before deciding what can be trusted.
- 04
Take away a method
People leave with a repeatable approach for framing, generating, evaluating, and refining their work.
03 / Questions
Before you book.
Do participants need technical knowledge?
No. The teaching starts from first principles and uses plain language. Familiarity with ordinary workplace software is enough.
Is the teaching tied to one AI product?
No. Sessions focus on transferable understanding and working methods. Examples can use tools your organisation already has access to where appropriate.
Can sessions use our own work?
Yes. Tailored sessions can be built around realistic organisational tasks, with privacy and sensitive information considered before material is used.
Which format is the best place to start?
An introductory workshop is usually the clearest starting point for teams that are new to AI. Role-specific sessions and workflow clinics are useful once a team has a shared foundation.
04 / AI education enquiry