Unlock adoption in your office

Paradigm Junction offers a free workshop to help leadership teams learn about existing AI use and sentiment.
An AI adoption workshop builds shared understanding across teams, surfaces real use cases and risks, and turns scattered experimentation into practical, organisation-wide momentum.
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[ CLIENTS SAY ]
They helped us think through the key questions and outputs, set the tone, then created space for our AI leads to learn from each other. I was really pleased with the results: New relationships across our colleges, some great ideas to take forward, and practical tools to help us get to impact quickly. Paradigm Junction kept us focused, drew out what already works, and helped us turn it into clear next steps.
Adam Swersky
Director of Skills and Employment | East Midlands Combined County Authority (EMCCA)
Paradigm Junction helped us move from isolated experimentation to shared ways of working with AI. We quickly realised that the main blocker was not enthusiasm, but a lack of clarity about what was allowed or encouraged by senior leadership. The introduction of clear senior signalling and simple rules had a real impact on what people felt able to try and discuss openly.
Jon Faulkner
Managing Director, Cowater UK
James and Tym had taken the time to understand what our coalition does, how they work, and why it matters, which isn't straightforward in a sector like ours where decisions about issues like adopting AI carry real operational and reputational risk. They created space for honest conversation across organisations with very different starting points, and kept things practical throughout. Everyone left with a concrete, low-risk idea to test in their own organisation.
Josie Stewart
Illicit Finance Programme Director | Joffe Charitable Trust
[ WORKSHOP TIMELINE ]

The value of an AI adoption workshop

Transformation
AI Governance
Risk Management
A workshop helps your team build a shared understanding, surface opportunities and concerns, and agree what happens next. You leave aligned around practical steps that turn experimentation into real impact.
Before the Workshop
09:00–09:15
Remember that the workshop is not about teaching staff directly. Instead, treat it as a shared opportunity for learning. Research shows that 77% of employees are confused on how to use AI in their work. Emphasize that there are no stupid questions and that new ideas and clarifications are the goal.
Welcome and Introductions
09:00–09:15
Facilitate a quick introductory round where everyone shares their current AI experience level (none/curious/using daily). Use this to level the playing field, nobody needs to pretend they know more than they do.
Demo
09:15–09:30
Show a real workflow example relevant to your industry. Pick something practical that multiple departments could use. Include both the wins and the fails. Show a hallucination example. Ensure everyone sees the same baseline example to prevent "but I thought AI meant..." confusion later.
Discussion: What's Already Happening?
09:30–09:55
Ask these key questions: What AI use cases have people already tried? What worked? What didn't? What are the blockers or concerns? Use this discussion to surface hidden applications, identify your AI champions, and let anxieties air out. Be prepared to discover that one department has been using ChatGPT for months while another thinks it's banned.
Hands-On Exercise
09:55–10:20
Break participants into small mixed-department groups. Give each group a shared company task to try with AI. Have them present back what they learned. Ensure cross-department mixing, this demonstrates that everyone's figuring this out together, not competing.
Next Steps
10:20–10:30
Summarise the key learnings that emerged. Set clear expectations for follow-up. Make commitments concrete before people return to their desks.
[ What You'll Learn from Running One ]
01
What’s really happening across the organisation
The workshop gives you a clear, unfiltered view of how AI is already being used. That might include unexpected champions, risky practices, or teams who’ve quietly gone further than expected. Hearing this directly - in a neutral, peer-led setting - beats any survey or audit. It gets you out of assumptions and into evidence.
02
Who your internal leaders are
You’ll spot the people already experimenting, automating, and helping others. These are your early adopters - the ones who’ll bring others along if given the platform. Once identified, they become a core group for future pilots, training, or internal comms. They’re your best resource, and the workshop helps them surface.
03
Where the misconceptions and anxieties lie
The session will flush out common sticking points:
  • What data is safe to use?
  • How accurate is “accurate enough”?
  • How much time is okay to spend on experimentation?
You’ll also hear the emotional undercurrent - fears of being replaced or left behind. Once surfaced, these concerns can be addressed calmly and in public, rather than whispered in corridors.

04
What to codify now to move faster later
By the end of the workshop, you’ll likely have a rough sense of what needs clarifying - and what doesn’t. That gives you the building blocks for a simple internal AI FAQ or usage policy. Doing this early saves repeated debates later, and gives everyone confidence that they’re experimenting within safe bounds.
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