Start with the business problem
We look at the workflow and the people in it before choosing any technology.
Start with the outcome, not the technology.
Every project is different, so there's no fixed timeline. The order stays the same.
- 1Discover
Understand the current process, systems and pain points.
- 2Assess
Prioritise by value, feasibility, risk and effort.
- 3Scope
Agree deliverables, baseline metrics, timeline and responsibilities.
- 4Build
Develop, test and integrate the solution.
- 5Deploy
Roll out with appropriate controls and your team involved.
- 6Measure and improve
Review results and reliability, optimise and hand over.
What we measure
We agree the measures before we build.
We pick the ones that matter for your project and record a baseline. After launch, we report against it.
How we think about the work.
Six habits, and what each one looks like in practice.
Keep humans in control
We agree approval points for anything sensitive or irreversible.
Be honest about AI
If conventional automation is more reliable, cheaper or simpler, we'll use that.
Make systems maintainable
Your team should be able to run what we build without us.
Avoid lock-in where possible
We choose tools and models to suit the task and your constraints.
Make AI useful for your people
We're developing practical learning resources to help teams use AI with confidence. In development