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AI workshops
Hands-on AI workshops for business teams, ending with a shortlist of use cases and a clear note of where the human checkpoint sits in each.
In focus →
Where the line sits
A good demo shows what AI can do, but it rarely shows what your team should do on Monday.
Each AI workshop we run for business is built the other way round.
We start with your team’s real work and end with a short, ranked list of uses worth trying.
For every use, we agree what the AI handles, what a person checks, and when it must be escalated.
Workshops suit any team with repetitive, text-heavy or admin-heavy work, from finance to client services.

What AI does in the workshop
What your team decides
Why workshops
The ONS lists difficulty identifying business use cases among the most common barriers to AI adoption, alongside cost and a lack of expertise.
It also found only 10% of AI-using businesses with 10 or more staff say they use AI extensively.
In other words, many teams have access to AI but have not worked out where it helps.
A focused AI workshop solves that faster than months of informal experiments.
Skills England’s PRIMES principles call for AI training that is practical and integrated into work, which a workshop on real tasks provides.
If you want a structured view across the whole organisation first, start with an AI readiness assessment.
Illustrative batch with a typical confidence spread. Your real split comes from a pilot on your own work. Some decisions go to a person whatever the score.
The format
A half-day workshop suits one team with a clear set of tasks.
A full-day workshop suits a department, or a mixed group looking across several processes.
We run them in person or remotely, always hands-on with the tools your organisation allows.
Before the day, we gather examples of real tasks so nobody works on made-up scenarios.
After the day, you receive the shortlist, the checkpoints and suggested next steps.
Groups work best when everyone can try the tools, so larger teams may be split across sessions.
The checkpoint
Every use case leaves the room with a named checkpoint.
For low-risk drafts, that might be a quick read before sending.
For anything affecting customers, money or legal rights, it means a person with the authority to change the outcome.
That reflects the ICO’s view that human review should not be a token gesture.
It also mirrors the government’s AI Playbook, which calls for meaningful human control at the right stages.
When you are ready to build the shortlisted uses properly, our AI implementation consultant service picks up from there.
Every use case leaves the room with a named checkpoint.
How it works
Each system ships with a named person accountable for what it does.
01
Your team sends a list of repetitive tasks and the AI tools you already have.
02
Half a day or a full day, in person or remote, hands-on throughout.
03
You get a ranked list of use cases with the human checkpoint for each.
04
We help you run the first pilot with clear review and escalation rules, then check what the team learned.
Questions
Further reading
Keep reading
Next step
A 30-minute call. We map one workflow, what the AI could take, and where a person must stay in the loop.