AI workshops for teams that
learn by doing.

Who it is for

Communications, marketing and policy teams, researchers and anyone who uses AI to write, edit or explain ideas at work.

What participants will explore

• Recognising vague language, formulaic phrasing and unsupported claims
• Using custom instructions to communicate your voice, audience and purpose
• Editing AI-assisted drafts for clarity, specificity and originality
• Distinguishing a summary or analysis from a genuinely useful insight

What participants will learn

• Recognise common signs of generic AI-generated writing
• Give AI clearer direction without surrendering your own voice
• Evaluate and edit drafts rather than accepting polished text at face value
• Develop writing that expresses a specific point of view and adds something useful

Who it is for

Leaders, managers, analysts, researchers and teams who want to use AI to reason through questions rather than simply generate answers.

What participants will explore

• Framing questions and identifying the assumptions behind them
• Asking AI to challenge an argument and offer alternative perspectives
• Testing ideas against counterarguments, evidence and uncertainty
• Using AI-assisted reflection while retaining responsibility for decisions

What participants will learn

• Ask more useful questions and follow-up questions
• Use AI to examine assumptions rather than reinforce them
• Compare perspectives and identify gaps in an argument
• Bring stronger human judgement to AI-supported decisions

Who it is for

Operational teams, project groups, team leaders and colleagues who want to connect AI use to the way their work actually happens.

What participants will explore

• Mapping a task into steps, handoffs and review points
• Identifying where AI can support a process and where people need to lead
• Connecting prompts, information and outputs across a multi-step task
• Testing a small workflow change and assessing quality, effort and usefulness

What participants will learn

• Break a real task into a clearer, repeatable workflow
• Identify suitable AI-supported steps and human checkpoints
• Plan how colleagues can collaborate around an AI-assisted process
• Evaluate a workflow experiment before deciding whether to extend it

Who it is for

Leaders, innovation and digital teams, and professionals considering practical experiments with AI agents and how to oversee delegated tasks.

What participants will explore

• When to use an assistant, a defined workflow or an agent for a task
• How agents pursue tasks, use tools and interact with information
• Delegation boundaries: permissions, limitations, errors and the risks of more autonomy
• Choosing bounded experiments with clear human oversight and stopping points

What participants will learn

• Assess whether a task needs an agent or a simpler approach
• Identify boundaries for delegating a task to an AI agent
• Recognise practical limitations and questions to ask about risk
• Outline a responsible experiment with defined permissions and human oversight

Who it is for

Organisations and teams with a specific challenge, a mix of experience levels or a learning need that does not fit a standard workshop.

What participants will explore

• Your team's priorities, existing experience and permitted AI tools
• Relevant examples and practical exercises shaped around your work
• Opportunities to build confidence, collaborate and test new ideas
• How to judge whether an experiment is useful in your context

What participants will learn

• Learning goals agreed around your team's particular needs
• Practical experience applying AI to a relevant challenge
• Ways to evaluate AI-assisted work using your own context and judgement
• Potential next steps for continued learning and experimentation