Staff are already using unapproved tools
The business does not have a shared understanding of what information can be used, where or for which tasks.
AI strategy and business training in Kent
Turn scattered AI experiments into a working plan.
We help leadership teams decide where AI can help, what should wait, which tools fit the business and what rules staff need.
Tell us what people are already using and what leadership is unsure about.
In short
What should a business AI strategy contain?
A good AI strategy identifies business priorities, ranks use cases by value and risk, sets information and approval rules, assigns ownership, selects an achievable first project and defines how results will be measured. It should be short enough to guide real decisions.
AI adoption
Why it stalls
Every team has a different list of ideas
Potential projects are not compared on value, feasibility, information quality, adoption effort and risk.
Licences have been bought without a use plan
Access to Copilot, ChatGPT or another tool has not translated into consistent working practices or measurable benefit.
Leadership cannot see where to start
The conversation moves between ambitious transformation language and isolated experiments without a delivery path.
The plan
What it needs to cover
AI opportunity map
Identify and rank use cases against business value, delivery effort, information readiness and risk.
Tool and data decisions
Define which tools fit the intended work, what information they may access and which controls need to be in place.
Safe-use guidance
Set out where AI can and cannot be used, what needs review, how confidential information is handled and who owns each decision.
Role-based training
Train teams on relevant work using realistic examples rather than a generic tour of AI features.
Where we would start
Create a 90-day AI adoption plan
We interview a small group of leaders and process owners, review current tools and use, rank the opportunities and set out the first 90 days.
Typical outputs
- Current-use and readiness assessment
- Prioritised opportunity portfolio
- Draft policy and decision framework
- 90-day delivery and training plan
How it works
We start small and prove it works
A first project should earn the next one.
- 01
Understand the work
Map the current process, information, exceptions, cost and desired result.
- 02
Test what matters
Build with real examples from your own work and compare the result with how the job is done today.
- 03
Put it into use
Integrate, document, train and measure only when the evidence supports it.
Common questions
Questions leadership teams ask
Do we need an AI policy before staff use AI?
Start with a short set of rules covering where AI can be used, what information stays out, who checks the output and where staff go for help. The level of formality depends on the business and its obligations.
Can you train staff on ChatGPT or Microsoft Copilot?
Yes. Training is designed around the tools, roles and real tasks in the business, with clear examples of where human review is still needed.
How do you choose the first use case?
We compare value, volume, information readiness, integration effort, exception rate, adoption difficulty and the consequence of a poor output.
Is this only for businesses that already use AI?
No. It is just as relevant for a team that has not started and wants a clear way in.
Get in touch
Tell us what is stopping you getting started.
Tell us what staff are already doing, which tools you have bought and what leadership needs to decide. We can turn that into a short plan.
Email us