01
Choose the work
Identify the few recurring tasks where AI can save meaningful time or improve quality. Most teams need two good use cases, not fifty.
AI adoption for regulated and data-sensitive teams
Make AI useful before it becomes uncontrolled.
Your people are already experimenting. Turn that into a safe, repeatable working method built around the work they actually do—not a tool demo they forget by Monday.
Senior-ledFixed prices from £1,500In person or remoteYour real tasks and guardrails
The problem
Policy alone does not create good practice.
Blocking every tool drives use underground. Buying licences without a working method produces novelty, uneven quality and avoidable data exposure. The useful middle is specific: approved tasks, explicit guardrails, review gates and enough hands-on use for the habit to stick.
02
Set the boundary
Decide what can be shared, which tools are approved, where human review is mandatory and how decisions remain auditable.
03
Build the habit
Practise on real work, keep the prompts and review patterns that earn their place, and leave ownership with the team.
Choose by outcome
Three formats. Start at the level of the decision you need.
Prices are per session, not per person. If the lighter format can do the job, that is the recommendation.
£1,500
Leadership Briefing
A board or leadership session on where AI moves the numbers, where it distracts and what safe adoption requires in your organisation.
- Strategy and risk, not demos
- Costed shortlist of where to start
- Written summary for absent stakeholders
£2,000
Team Workshop
A hands-on session built around your actual tasks, tools and data boundary. People leave with a working method they can use immediately.
- Real tasks, not toy examples
- Reusable prompt and review patterns
- Cheat-sheet and follow-up notes
Bespoke
Embed Programme
Recurring sessions plus pairing on the real backlog, so safe AI-assisted work becomes an operating habit rather than workshop notes.
- Pairing on the actual backlog
- Governance tested in practice
- Workflow and ownership stay in-house
What good looks like
Faster where it helps. Deliberate where it matters.
- A short approved-use-case list with named owners
- Clear red lines for client, personal and regulated data
- Review gates proportional to the consequence of error
- Reusable prompt, context and verification patterns
- Evidence of whether the work became faster or better
The standard
Safe enough to defend. Useful enough to keep.
A workshop is successful when the team can explain where AI belongs, where it does not, and how they will catch plausible-looking mistakes before they become business decisions.
A good fit
- The team is already using AI unevenly or unofficially.
- Leadership needs a practical position, not another trend report.
- Real work can be used safely in the session.
- Someone will own the working method afterwards.
Probably not a fit
- You want a motivational keynote or product showcase.
- The goal is “use more AI” with no defined work or outcome.
- You need legal advice, certification or a formal compliance audit.
- No one can decide which tools or data are permitted.
Start with the work, not the tool.
Send the team, the recurring task and the constraint. I will reply personally and tell you which format—if any—fits.
No mailing list. No automated sequence. No obligation.