Less noise. More focus on your team’s work.
Bring AI learning closer to the tasks your people actually do. A department workshop uses fictional data and realistic situations to explore useful skills, shared responsibilities and where a simpler approach may be enough.
Start with the work. Find a useful next step.
One team’s tasks, realistic dummy examples and room to think together.
Map the work
List tasks, handovers and human checks.
Find the friction
Separate the real difficulty from assumptions.
Try an example
Practise with fictional data and compare approaches.
Review together
Discuss useful changes and where other teams are needed.
A workshop explores options. Any live automation, agent or change to resources needs its own testing and approval.
Focused on the role
We narrow the session to your team’s tasks, questions and tools. People practise on realistic examples from areas such as finance, HR, sales, customer service, marketing or operations. Smaller organisations can bring related roles together; larger teams can go deeper within a department.
Find where AI helps — and where it does not
We break work into steps before choosing a tool. People can explore drafting, reusable instructions, workflow ideas or small agent prototypes where relevant to the agreed session.
- Identify missing information and repeated effort
- Notice where a task needs another team’s input
- Keep human checks and recognise when AI adds little value
A clearer view of time and capacity
The exercises can give managers questions to investigate: where does the team’s time go, what checking is needed and could a different approach free up capacity? For example, if a payroll-checking trial releases time, a finance manager could consider using some of it on overdue analysis or another project. Any change needs evidence from real work; a workshop does not prove that a whole role can be automated.
- Compare the full task, including review and corrections
- Discuss handovers with teams such as HR and operations
- Choose a small test before changing responsibilities or resources
A tailored workshop begins with paid discovery. Start-up companies are eligible for discounted rates. Schools, charities and community groups can ask about reduced workshop and discovery rates. We confirm the scope and fee in writing.
Get the pricing PDF*
For transparent pricing, enter your email below. The PDF opens in a new tab after your request is saved.
* Start-up companies are eligible for discounted rates. Reduced rates are also available to companies with fewer than 20 people, schools, charities, Jobcentres and community groups. We confirm the discount, scope and fee in writing before booking.
Discovery gives you practical findings and recommendations to keep, whether or not you book further training. If you book a one- or two-day workshop, we deduct the discovery fee you paid from the agreed workshop price. Travel is additional for all in-person delivery and agreed in writing before booking. Online sessions have no travel charge.
We save your email and request time privately on our website, then copy them to our Google tracker. Requesting a PDF won’t subscribe you to future marketing emails. Privacy notice.
AI learning near you, or online
We prioritise in-person talks and workshops across London, Essex and Hertfordshire, with bookings also welcome in Slough, Reading and Birmingham. London delivery includes Greenwich, Richmond and Chiswick, subject to availability.
Elsewhere in the UK, including Scotland, Wales and Northern Ireland, join us online. We agree delivery arrangements before booking. Travel is additional for all in-person delivery and agreed in writing before booking. Online sessions have no travel charge.
Explore AI talks and event speakers · Compare workplace AI training · Discuss your location and group
Discuss your department’s work
Learning that continues.
A 30-day check-in, a 90-day review and a short findings report are included at no extra charge. We look at what people used, what helped and what support they need next.
Read or request the staff AI safety handout →- 30 daysCheck in
What have people tried?
- 90 daysReview
What helped? What needs support?
- After reviewFindings
A short report and next steps.