E1
AI readiness check
Find out where AI would help your business, what to leave alone and which risks to manage first.
Detail E — Adoption, policy, training
Help your team use AI well, and safely.
Your team is probably already using AI, some of them well, some of them with customer data they shouldn't be pasting in. We help you choose the right tools, set clear rules, train people on their own work and try it with one team first, so AI saves time without creating new risks.
- Price
- On request
Fig. E1 — Rolling out AINot to scale
Readiness checkTasks · Tools · Risks
PolicyClear rules on data and review
Pilot teamP1Two weeks of daily use
EveryoneTraining, tools and support
Detail E — Sub-assemblies
Explore AI enablement.
E2
Team training and workshops
Hands-on AI training where your team works on their own tasks, so they leave able to use it the next morning.
E3
AI use policy
Clear, short rules on which AI tools your team can use, what data can go into them and when output must be checked.
E4
Custom assistants
ChatGPT, Claude or Copilot set up with your own documents and instructions, so answers fit your business.
E5
Pilot programme
One team uses AI daily for two weeks with support. We measure what changed, then decide on the rest of the business.
E6
Private and open-weight AI
Open-weight AI models running on infrastructure you control, for data that shouldn't leave your business.
E7
Fine-tuning
A model trained further on your own examples, for the jobs where a well-set-up assistant isn't enough.
Table E — What we offer
Pick the parts you need.
Some businesses want the full rollout. Others need one piece, like a policy or a workshop. Each part works on its own.
E.1Included
Readiness check
Which tasks AI can help with in your business, which to leave alone, and the risks to manage.
E.2Included
Training and workshops
Hands-on sessions where your team uses AI on their own tasks, not generic demos.
E.3Included
AI use policy
Plain rules on which tools to use, what data can go into them and when a person must check the output.
E.4Included
Custom assistants
ChatGPT, Claude or Copilot set up with your own documents, so answers fit your business.
E.5Included
Pilot programme
One team uses AI daily for two weeks. We measure what changed, then decide on the rest.
E.6Included
Private AI
Open-weight models run on infrastructure you control, for data that shouldn't leave the business.
E.7Included
Fine-tuning
A model trained further on your examples, for the rare jobs where that beats a well-set-up assistant.
Notes — What we see
Why AI rollouts stall.
- 01Everyone gets a licence, nobody gets shown what to do with it, and usage fades within a month.
- 02Nobody knows what's allowed, so careful people avoid it and careless people paste in anything.
- 03Tools are chosen before anyone asks which tasks they're for.
- 04There's no way to tell whether it's saving time, so it's hard to justify.
Specification — How we work
Practical, not theoretical.
- Your tasks, not demosTraining uses the documents, emails and jobs your team handles every week.
- Rules people can followA policy short enough to read, with real examples of what's fine and what isn't.
- Any modelChatGPT, Claude, Gemini, Copilot or open-weight models, chosen for the work and the data involved.
General notes — FAQ
Questions about AI enablement.
Is our data safe in ChatGPT or Claude?
On the business plans of the main AI tools, your data isn't used to train their models by default. Free personal accounts are a different story. The policy and the right plan matter more than the brand of tool.
Which tool should we use?
It depends on your work and what you already pay for. If you're on Microsoft 365, Copilot may be the obvious start; if your team writes and researches a lot, ChatGPT or Claude may suit better. The readiness check answers this for your business.
How long does training take?
It depends on the team and the tools. We plan sessions around the tasks people do, so the time goes into practice rather than slides.
Do we need private AI?
Most businesses don't. If you handle sensitive client data, work in a regulated field or have rules about where data can go, it's worth considering, and we'll tell you honestly whether it's needed.
Fig. E2 — Next step
Not sure where to start with AI?
Tell us about your team and how they use AI today, if at all. We usually reply the same working day.