AI Leadership Labs.
Changing how teams
actually work with AI.
Applied Labs that help managers turn their team's AI use into better teamwork and real ROI.
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AI adoption is moving faster than managers are equipped to lead it.
Develop your managers to lead the human side of AI adoption.
Four applied Labs, each built around one challenge managers face as AI changes the work.
Each lab runs over three weeks with four facilitated hours & no days out of role.
Lab 1: Leading Teams Through AI Uncertainty
Managers turn the organisation’s AI direction into a conversation their team can act on.
Managers make it safe for their team to try AI and to say openly what isn’t working. They give honest direction where answers are still unknown, then turn that uncertainty into small, bounded experiments the team owns.
Start here if people are holding back from AI or if there is uncertainty around AI adoption.
The Mission: agree one safe-to-try experiment with your team, with clear boundaries and a named owner, then review it together.
What managers leave with: a team that feels safe to experiment, concerns raised openly and one live experiment.
Lab 2: Setting Decision Rights and Accountability with AI
Teams are producing more, but not always better. Checking AI output is real work, yet it’s nobody’s named job.
Managers agree a framework with their team: what AI can do, what a person checks, who owns the outcome and when to escalate. Review stops being guesswork.
Start here if AI already shapes work that leaves the team, and nobody can say who signs off.
The Mission: set decision rights for one approved AI use case, then test an AI-supported output against review thresholds.
What managers leave with: a documented AI autonomy level, a named human owner and agreed escalation thresholds.
Lab 3: Redesigning How Teams Work with AI
Managers map a real workflow with their team and redesign each handoff. They pilot the change against one outcome and protect the time it frees up instead of refilling it.
This Lab has managers redesign one real workflow with their team, so individual speed turns into a better shared way of working.
Start here if AI speeds up individuals, but the team still works the same way.
The Mission: redesign and test one high-friction workflow with the team.
What managers leave with: a before-and-after workflow map, agreed human and AI roles and a piloted change.
Lab 4: Managing Performance and Development in AI-Enabled Teams
Managers set fair expectations for AI-enabled roles and learn to recognise judgement as well as visible output.
They adapt their coaching so people keep growing while AI does more of the drafting.
Start here if AI is drafting performance reviews and expectations haven’t caught up with how people work.
The Mission: sit down with one employee in an AI-enabled role and agree what good performance and development look like.
What managers leave with: updated expectations for one role, one capability to build and an agreed development action.
Build confidence. Strengthen judgement.
Redesign your work.
Tool-agnostic and built around your approved AI environment. Each Lab takes three weeks and four facilitated hours, applied to real work.
Lab 1: Using AI with Confidence and Good Judgement
Some people avoid AI. Others trust everything it says.
Participants learn where AI helps and where it gets things wrong, then check its output according to the risk of the task. They use it openly, within your guardrails, and know when their own judgement has to lead.
Start here if confidence with AI varies widely, or people use it with no consistent way to check it.
The Mission: complete one real task with an approved AI tool, verify what matters and record where judgement changed the result.
What participants leave with: a documented use case, checks matched to the risk of the task and evidence of human judgement at work.
Lab 2: Redesigning Work with AI
Most people use AI for a few tasks. Few have rethought the work around it.
Participants look across their whole role to see where AI can genuinely help and where their own contribution matters most. Then they redesign one meaningful workflow from the outcome up, built around the strengths of both.
Start here if people use AI for isolated tasks, but the way work gets done hasn’t changed.
The Mission: map one live workflow, redesign it with clear human and AI roles, then test it against the old way.
What participants leave with: a clear picture of where AI fits in their role and one tested, redesigned workflow.
Three weeks.
Four facilitated hours.
One real change at work.
Training that changes how you work on Monday.
Application Session
Practical, scenario-based learning built around your priorities, tools and language. Managers practise each framework on situations from their own work.
The Mission
Where behaviour actually changes. Each manager applies the framework to one live challenge with their own team, inside a meeting they already hold.
Integration Session
Managers share what they tried, what changed and where they got stuck. The same facilitator coaches the cohort, so everyone knows how to keep applying it.
One gap. One Lab.See the impact in three weeks.
Results from our client Labs
Hear directly from our learners.
Having this mission meeting was the greatest shifting point for me, as it made it very clear to me how valuable this was for my team. Most training feels like theory, but the mission actually changed the way my team works.
Thank you very much - this has been the training I enjoyed the most in my career and has honestly made me a 10x better manager.
This is by far thee best leadership program I have been on – it's so practical, so thought-provoking and my whole leadership philosophy has shifted.
It was the first course in my experience that actually provided examples and when leaving the meeting, to feel like I have learnt something, and I feel prepared to apply it in real life.
Changing the mindset when using AI tools, understanding that it is not magic but a process, was key. I've shifted so many workflows using the framework that was introduced in the mission.
I actively use the tools from the session daily… the way that I ask for feedback from the team or give feedback… provide a safe space not just for me but for them… Also, many ideas have come up that we have implemented in operations, thanks the new feedback model.
Having this mission meeting was the greatest shifting point for me, as it made it very clear to me how valuable this was for my team. Most training feels like theory, but the mission actually changed the way my team works.
Thank you very much - this has been the training I enjoyed the most in my career and has honestly made me a 10x better manager.
This is by far thee best leadership program I have been on – it's so practical, so thought-provoking and my whole leadership philosophy has shifted.
It was the first course in my experience that actually provided examples and when leaving the meeting, to feel like I have learnt something, and I feel prepared to apply it in real life.
Changing the mindset when using AI tools, understanding that it is not magic but a process, was key. I've shifted so many workflows using the framework that was introduced in the mission.
I actively use the tools from the session daily… the way that I ask for feedback from the team or give feedback… provide a safe space not just for me but for them… Also, many ideas have come up that we have implemented in operations, thanks the new feedback model.
We work as an extension of your team, close to your strategy and close to your people.
We are a true partner, an extension of your team.
Tied to you strategically
and personally.
who worked with us
Straight answers to the questions we hear most before a Lab begins.
A Lab can typically launch within three weeks of the first conversation, depending on availability and the scope of Discovery.
Yes. The core capability remains consistent, but the scenarios, language, discussion and Mission are adapted to your organisation.
Participants use the capability on a live workplace challenge between sessions. They return with evidence, questions and insight from what happened.
We combine baseline and follow-up capability assessments, Mission completion, participant and facilitator insight and evidence of behaviour change.
One Lab and no long-term commitment. Once impact is proven, we can connect it to a broader series or curriculum.
Investment starts at £475 per participant per Lab.
