Leadership briefing
Understand the opportunities and choose a useful direction.
CORPORATE AI TRAINING
Build capability across your team.
Hands-on AI training shaped around your people, their roles and the work they do every day.
Discuss team training
SHAPED AROUND YOUR NEEDS
A practical starting point.
Team workshop
Practise AI on realistic tasks for the roles in your team.
Custom programme
Build a learning path around departments, tools and agreed outcomes.
We agree on participants, tools, deliverables, timing, fees and support in your proposal. Your team’s context shapes the engagement.
REAL PEOPLE. PRACTICAL SESSIONS.
Experience you can see.
An enterprise workshop. 35 participants.
Marcus facilitated a workshop for a property developer team, with 35 participants. His practical training experience also includes focused small-group sessions.
For your team, we start with the roles attending, their experience and the work they need to do. Exercises, tools and the delivery scope are agreed in the proposal.
Plan training for your teamWHAT YOU TAKE AWAY
Training with something to use afterwards.
Use these engagement outlines to start the conversation. Your proposal confirms the exact deliverables, participants, dates and fees.
Leadership briefing
For business owners and department heads deciding where to start.
A focused briefing and decision discussion; agenda and duration agreed before booking.
Proposed deliverables
- A shortlist of relevant use cases
- Priorities, constraints and questions to resolve
- An agreed next step for the team
Department workshop
For the people doing the work in HR, Operations, Finance, Sales or Customer Service.
Hands-on exercises using suitable work examples. Group size, language, tools and session length are scoped together.
Proposed deliverables
- Role-specific exercises and reusable prompts
- A workflow each participant can practise
- Review checks and an action plan for work
Custom adoption programme
For teams that need a learning path across roles or departments.
A sequence of sessions with agreed practice and review points; pacing follows your team's starting level.
Proposed deliverables
- A department-based learning plan
- Shared templates and practice assignments
- A review of adoption and remaining gaps
How we agree on success
Choose a relevant task, practise it, then review the output and how the team will use it. Attendance alone does not show adoption; agree on a practical follow-up measure.
What shapes the quote
Departments, headcount, starting level, custom preparation, delivery format and follow-up sessions. Tool subscriptions, travel and any ongoing support are identified separately in the proposal.
HOW WE WORK
Start small. Make it useful.
Understand
Start with the team, the task and the friction.
Shape
Agree on a useful outcome and a practical scope.
Build together
Train, implement or pilot with the people doing the work.
Make it stick
Review the result and decide the next step.
START WITH A DEPARTMENT
A FEW USEFUL ANSWERS
Before we talk.
We’re not sure where to start. Can you help?+
Yes. Tell us about your team and a task that takes too much effort. The first conversation helps identify whether training or a small implementation project makes sense.
Do we need training before implementation?+
No. Training and implementation are separate ways to work with us. We can combine them when that helps your team adopt the solution.
How are scope and pricing decided?+
We discuss your team, tools, desired outcome and constraints before preparing a proposal. Delivery, third-party costs and support are clarified in that proposal.
Who is corporate AI training for?+
We shape the programme around the roles attending: HR, Operations, Accounting, Finance, Sales & Marketing or Customer Service. Share the team’s experience and work tasks so we can agree on suitable exercises.
What should we prepare before a workshop?+
Start with the departments attending, approximate headcount, learning goals and preferred timing. Before delivery we agree on the tools, access requirements and suitable work examples. Use anonymised examples rather than confidential records.
YOUR NEXT USEFUL STEP
What could your team
do with AI?
Tell us where work gets stuck. We’ll explore a practical starting point together.