The Method
Why we start
with the work.
AI projects often begin with a model, a platform or a list of possible use cases. We begin somewhere else.
We try to understand the work well enough to see where context is being lost, where effort is being repeated, and where AI could genuinely help.
What Guides the Method
Four Principles.
Do not begin with the tool.
On the Work
Start with what people actually do.
On People
Keep judgement where it matters.
On Evidence
Make assumptions visible.
On Technology
Do not begin with the tool.
How the Method Moves
“The stages are not there to make the work look orderly. They are there to stop us building too much, too early.”
Start with the work, not the tool.
Evidence over hype.
Human judgement stays in control.
The Stages
Understand
See the work before proposing the solution.
Educate
Create a shared view of what AI can and cannot do.
Discover
Identify where friction, repetition or context loss are happening.
Design
Decide what should change, and what should remain human.
Build
Test the smallest useful version in the real work.
Measure
Look for evidence that the work actually improved.
Evolve
Refine, expand or stop based on what the evidence shows.
What Every Engagement Rests On
The foundations do not change.
“We work from real material, test something small enough to understand, and judge the result by what changes in the work.”
What the Method Produces
Four outcomes.
“If it does not change the workflow, it is probably still just an experiment.”