This activity is designed for teams to explore AI in a simple, practical way without needing technical expertise.
Before you start
Keep it simple. You will need:
- a whiteboard, sticky notes or a digital board
- a facilitator (this can be you)
- your team.
Step 1: Warm up
Time: 10 minutes
This step helps surface shared areas of interest before finding solutions.
As a whole group, start by identifying everyday tasks that staff would like to automate, speed up or improve.
Capture brief examples, keeping them focused on real work.
To ground the discussion, focus on tasks that:
- take longer than expected
- repeat often or follow the same steps
- involve a lot of manual effort
- are regularly delayed or avoided.
For more detail and examples, find out how to identify opportunities.
Step 2: Brainstorm
Time: 20 minutes
This step helps surface current frustrations and inefficiencies that make work harder.
Split the team into small groups of 3 to 5 people. Ask each group to list work challenges or inefficiencies they experience in day-to-day tasks.
This could include:
- repetitive tasks
- bottlenecks or delays
- tasks that need a lot of manual effort.
Capture ideas on sticky notes or a digital board.
If the discussion moves towards tools or solutions, bring it back to the task or problem.
Step 3: Map use cases
Time: 25 minutes
This step helps translate selected problems into clear AI uses you can compare, prioritise and test.
In the same small groups, take each idea and describe:
- what the problem is
- how AI could assist or reduce effort
- what outcome would make the change worthwhile
- what risks or constraints come with using AI for this task.
Keep responses brief and practical. Focus on clarity rather than detail at this stage.
For more detail and examples, find out how to map your processes.
Step 4: Prioritise
Time: 15 minutes
This step helps decide which ideas are worth testing first based on value and effort.
In the small groups, review all ideas. Use a simple matrix to categorise ideas based on value and complexity:
- Value: high, medium or low
- Complexity: easy, moderate or hard
Focus on prioritising ideas that are high value and easy or moderately complex.
For more detail and examples, find out how to identify opportunities.
Step 5: Choose a tool to test
Time: 5 minutes
This step helps identify a practical way to test priority ideas without locking in long‑term decisions.
For the high-priority ideas, consider which AI tool best supports testing the idea.
You could consider:
- built-in features in existing software
- tools your team already uses
- tools you’ve heard about and want to explore.
If no specific tools come to mind, capture the type of capability you need instead, such as:
- drafting or summarising
- searching
- organising information
- automating repetitive steps.
This can help guide later research or procurement decisions.
For examples of AI tools, check out artificial intelligence explained and choosing a solution.
Step 6: Pitch ideas and plan a test
Time: 15 minutes
This step helps your team agree on small, low‑risk tests to learn from.
Come back together as a whole group.
Invite each group to briefly pitch the high-priority AI uses they explored, including:
- the task or problem
- why it could add value
- any concerns, risks or challenges they identified.
Once all ideas have been shared, ask everyone to vote on the top one or 2 ideas to test first.
Work together to define:
- what you will test
- how you will test it
- what success looks like
- what risks or safeguards need to be considered.