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Our approach
We plan AI rollouts the way engineers plan a build: survey the site, lay the foundations, test a section, then complete the job. You see the drawings before anything is switched on, and the measurements after.
AI projects tend to fail in one of two ways. Either nothing is prepared, and an AI tool surfaces information it shouldn’t. Or so much is prepared that nothing gets used. We avoid both by working through five layers in order, with a clear finish line at each step.
The five-layer AI stack
We draw every rollout as a stack of five layers. The bottom layers carry the weight of the ones above, so we start there.
- Security. Who can sign in, from where, and which AI tools are approved.
- Data. What AI can see, whether it’s labelled and whether it’s up to date.
- Automation. Processes that run themselves, with a person checking what matters.
- Copilot. The AI tools people use every day, such as Microsoft 365 Copilot.
- People. The training, champions and habits that turn licences into time saved.
Each layer has a status in your report: ready, in progress or to review. You always know where things stand.
How we work
Outcome first
We start with the work you want done faster or better, then choose the technology.
Foundations before features
Security and data come before licences. It’s slower for a week and safer for years.
Small, measured pilots
A few people, real tasks and weekly measurement before anything goes wider.
Honest about limits
We say what AI won’t do well, and when a simpler fix would serve you better.
Plain English
Reports you can share with directors, governors and trustees without a glossary.
Yours to keep
Plans, policies, prompts and documentation belong to you, whoever does the next step.
Four steps, each with a finish line
- 01Weeks 01–02
Discover
Workshops and a technical review. Finish line: a scored readiness report and a roadmap.
- 02Weeks 03–04
Prepare
Policies, permissions and protection. Finish line: the security and data layers marked ready.
- 03Weeks 05–08
Pilot
A small group on real tasks. Finish line: time saved measured and a rollout decision.
- 04Weeks 09–12
Adopt
Rollout, training and automation. Finish line: everyday use and a first quarterly review.
Common questions
How do you price your work?
Are Microsoft licences included?
Why not just switch AI on and see what happens?
Is 12 weeks fixed?
What happens after the 12 weeks?
Start with a readiness assessment.
We look at how you work, what your data looks like and where AI would save the most time. You get a scored report and a plan in plain English, whatever you decide next.