What needs governing
Separate low-risk assistance from decisions or data uses that need stronger oversight.
Responsible AI that staff can actually apply
Turn AI policy into day-to-day decisions.
Practical governance workshops for leaders and teams: confidentiality, approved use, human review, accountability and a clear route when the answer is not obvious.
Working method
Turn policy into four usable decisions
Founder-led and grounded in the room
The questions people actually ask shape the session.
Jon works directly with the team, using its roles, documents and live challenges to make the material useful beyond the workshop.
The aim is not tool excitement. It is a shared method people can repeat, review and improve once they are back at work.
Built around real work
A useful programme, not a generic tool tour
The exact examples change by team, but the programme is grounded in the following practical areas.
Data and confidentiality
Define what staff may enter, what must be redacted and which accounts or tools are approved.
Accuracy and human review
Set proportionate checks for facts, calculations, sources, tone, bias and professional judgement.
Copyright and attribution
Understand the practical questions around source material, generated content and ownership.
Roles and accountability
Make clear who owns the prompt, the review, the decision and the record when AI contributes.
Policy into practice
Turn principles into usable traffic lights, checklists, examples and an escalation route for staff.
How the engagement works
- 1
Understand current use
We identify approved and informal AI use, sensitive workflows and areas of uncertainty.
- 2
Tailor the scenarios
Examples reflect your sector, information types and likely staff decisions.
- 3
Train through decisions
Participants practise classifying use cases, applying controls and escalating uncertainty.
- 4
Leave with actions
We capture gaps in policy, tools, ownership and training for the organisation to resolve.
What you take away
- Leadership or all-staff governance workshop
- Practical risk-classification framework
- Safe-use and human-review checklist
- Scenario exercises relevant to your organisation
- Policy gaps and action summary
- Recommended adoption and refresher plan
Read before you decide
AI governance for small and growing businesses
A usable framework for approved tools, confidential data, human review, accountability and escalation.
Read the practical guideNeed ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.
Questions teams ask
Is AI governance training only for regulated organisations?
No. Any team handling client information, personal data, commercial plans or externally published work benefits from clear boundaries and accountability.
Does this replace legal or data-protection advice?
No. The training is practical organisational guidance, not legal advice. Where a use case creates legal, employment, privacy or regulatory questions, the appropriate specialist should review it.
Can you review our existing AI policy?
Yes. A policy review can be included before the workshop so the training reflects your rules and exposes areas that staff may find difficult to apply.
Should leaders and staff attend the same session?
Sometimes, but their decisions differ. A leadership session often focuses on risk appetite, ownership and investment, while staff training focuses on day-to-day judgement and escalation.
Can governance training be combined with practical AI skills?
Yes. This is often the strongest approach: teach the boundary and then practise the approved use within it.
Give people a clear way to make responsible AI decisions.
Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.
Start the conversation