One day. Your team. Real work.
A practical AI day for your people - or for your tenants, members or supply chain. Everyone brings one real problem and works on it. No slides about AI, no theory.
What happens on the day
People bring their own work.
Discover
What AI can and can't do, and where it's already changing work like theirs.
Identify
Everyone maps their own workflow and finds where AI is actually worth using.
Build
Prompts, workflows and agent concepts against their own tasks, not a worked example.
People leave with something they'll use the following week, and a way of spotting the next opportunity themselves.
The format
What a pop-up looks like.
- Length
- One day.
- Where
- Your site, or a venue we arrange.
- Who's in the room
- You choose - your team, your tenants, your members, your suppliers. Or send one or two people to an open pop-up.
- Who delivers it
- The AI Lab delivery team.
- What everyone brings
- One real problem from their own work.
What you take away
Some businesses want their people trained and nothing more. Others want to come out of the day with a plan. Tell us which at the start and we'll scope it.
A use case report
everything the room surfaced, written up with suggested next steps
Prioritised opportunities
the same, scored on value, effort and risk
An AI roadmap
a sequenced plan for what to do first, second and third
Every pop-up is shaped around who's in the room and what you need out of it.
Already delivered
Businesses that have done this.
A number of Yorkshire businesses have already benefitted from working with us. Leeds University Business School commissioned workshops and bootcamps for their students. Over 500 people engaged since April 2026.
32 AI agent use cases in 3 hours
21 Degrees Digital had an AI policy, a team already using ChatGPT and Claude, and a CEO who could code. What they did not have was a way to decide what to build. Nine of the team spent three hours in Holbeck and came out with thirty-two agent use cases, and a sharper reason to build them than anyone walked in with.
Read the story
The Data City turns AI interest into a roadmap
The Data City came in with broad interest in AI and no shared view of where to start. Over four hours the team worked through their own tasks, built prompts, and tried agents on real work. They left with use cases named team by team — admin, sales, engineering, delivery and operations - and a roadmap to work through rather than a general enthusiasm.
Read the storyTell us who you want in the room.
And roughly when. We'll come back with a shape and a price.