Get your team using AI well, and safely
Practical AI workshops for leadership teams or staff, built around your own work rather than generic demos. People leave knowing what AI is good and bad at for their jobs, how to use the tools you have safely, and where it is worth automating next.
Service 04
No 17040048
Fixed price
£295 per person
Full day, minimum 8 people
A day for 8 people is £2,360 and for 15 people £4,425. Half-day sessions and series are quoted on request. Travel outside the M25 and Hertfordshire is charged at cost.
Who it is for
- Leadership teams who want a shared, realistic view of what AI can do for the business before they invest.
- Teams already using AI tools informally who need good habits and clear rules on data.
- Businesses that want staff to find the best automation opportunities themselves.
What the work covers
Shaping the day around your work
Before the workshop we hold a short call to agree who is attending, what they should leave with and which examples to use. We ask for a few real, redacted pieces of your work, such as an email thread, a report or a form, and your current rules on AI and data if you have them. Those examples become the exercises. People learn more from watching AI attempt their own task, and fail at parts of it, than from a polished demo built on someone else's data.
What AI is good and bad at, honestly
We start with a practical account of what current AI tools do well, such as drafting, summarising, sorting and extracting, and where they fall down: confident errors, missing context, inconsistent answers and actions taken without checks. We use documented public cases, including customer-facing assistants that gave wrong answers and agents that acted beyond what was intended, alongside what we see running AI in our own products every day. The aim is calibrated judgement: people who neither dismiss the tools nor trust them blindly.
Hands-on practice with your tools
Most of the day is spent using AI on real tasks, in the tools your business already has or is considering. People work in small groups on your redacted examples, compare results and learn how to give clear instructions, check output and spot when an answer should not be trusted. We concentrate on the habits that matter in daily use: what to give the tool, what to check before using the result, and when to stop and do the task by hand.
Clear rules on data
Staff often hold back from AI, or use it carelessly, because nobody has told them what is allowed. We work through what data may go into which tools under your own rules and UK GDPR, as amended by the Data (Use and Access) Act 2025, using practical examples from your work. This is not legal advice, and where your rules need updating we work alongside your advisers. The result is a one-page AI use guide in plain language that people can keep to hand.
Finding what is worth automating
In the final part of the day, the team maps its own repetitive work and ranks it: how often it happens, how much it hurts, how clear the steps are and what a mistake would cost. The people who do the work are usually best placed to see where time goes, and the ranking keeps the discussion grounded rather than drifting to the most exciting idea. Afterwards we write up the ranked opportunities, which you can act on with us, with someone else or on your own.
Sessions for leadership teams
For leadership teams the day leans towards decisions rather than tool practice. We cover where AI tends to pay in a business like yours, the risks that come with customer-facing and agentic AI, what controls and evidence leaders should expect to see, and how to test supplier claims. The session ends with a short list of decisions: what to try first, what to leave alone and what needs more information before anyone spends money.
Typical sessions
These are illustrations of the kind of work, not client results.
AI for the leadership team
What AI does well and badly, real cases of it going wrong, where it pays in your business, and what to decide next. Example only.
Using AI tools safely at work
Hands-on practice with the tools you already have, with clear rules on what data may go into them. Example only.
Finding what to automate
Your team maps its own repetitive work and ranks what is worth automating, with a short written summary afterwards. Example only.
What you get
We work with the AI tools your business already has or is considering. Nothing needs installing for the day unless you want hands-on practice with a specific tool.
- 01A short call beforehand to shape the day around your work, tools and data rules.
- 02The workshop itself, with hands-on exercises using your own, redacted examples.
- 03A one-page AI use guide for your team: what is allowed, what is not, and why.
- 04A written summary of the opportunities the team identified, ranked.
What changes
- Your team shares a realistic view of what AI does well and badly in their own jobs.
- People know what data may go into which tools, with a one-page guide to refer back to.
- You have a ranked list of opportunities identified by the people who do the work.
- Leaders can take the next AI decision from a common starting point.
How it runs
- Short call beforehand to agree audience, goals and examples.
- Full day, on site or remote, at £295 per person with a minimum of 8.
- Groups of 8 to 20 for hands-on work; larger teams split across sessions.
- One-page AI use guide and ranked opportunities written up afterwards.
- Half-day sessions and series quoted on request.
What you supply
- A room or a video call, and the people who will attend.
- A few real, redacted examples of the work you want to discuss.
- Your current rules on AI use and data, if you have any.
Limits
- A workshop builds understanding and finds opportunities; it does not build anything. Builds are scoped separately.
- Groups of 8 to 20 work best for hands-on exercises; larger teams can be split across sessions.
How it works
- 01
Scope
A short call to agree the audience, the goals and the examples to use.
- 02
Prepare
Exercises and examples built around your work and tools.
- 03
Workshop
The day itself, practical and hands-on.
- 04
Follow up
The use guide and the ranked opportunities, written up.
Taught from real cases
Evidence from our own work
Every workshop draws on documented AI incidents from our Insights and on running AI in our own products every day. This is our own experience, not client results.
Read the casesWhere it fits
A workshop is often the first piece of work; the ranked opportunities usually lead to a diagnostic and roadmap, or straight to a fixed-price workflow or enquiry journey.
Questions before you start
How much does an AI workshop cost?
£295 per person for a full day, with a minimum of 8 people, on site or remote. Half-day sessions and series of workshops are quoted on request.
Who is it for?
Leadership teams, or staff who use or will use AI tools. We shape each workshop to the audience; it is never a generic slide deck.
Do you cover data protection?
Yes, in practical terms: what data may go into which tools under your rules and UK data protection law. It is not legal advice.
Can a workshop lead to a project?
Often it does, but there is no obligation. The ranked opportunities are yours to act on with or without us.
What is the next step?
Tell us who would attend and what you want them to leave with in the contact form. We arrange a short call and confirm the date.
Do attendees need any technical knowledge?
No. The workshops are built for the people who do the work, not for engineers. Anyone comfortable with email and a web browser can take part fully. Where some attendees are more experienced, the exercises have room to go further, and leadership sessions focus on decisions rather than tool skills.
Who runs the workshop?
Workshops are founder-led by Paul Redman, who has 25 years of software engineering behind him and builds and runs the AI in our own products. Questions about how the tools behave in practice are answered from direct experience rather than a script, and the examples come from your work and documented public cases.
Is a workshop still useful if our staff already use AI tools?
Yes, often more so. Informal use tends to create uneven habits and unclear rules on data. We start from what people already do, keep what works, correct what is risky and agree shared rules, so the whole team uses its tools in a consistent and safe way.
Tell us what needs to work better.
Describe the process and the tools involved. If it looks like a fit we will arrange a 20-minute call.