The method
AZIMUTH
An azimuth is the exact bearing a navigator steers by. Not a vision. Not a moonshot. A precise, checkable direction — recalculated as conditions change.
AI is moving too fast for five-year transformation plans and too consequentially for improvisation. AZIMUTH is our answer: a disciplined path from honest assessment to operating reality, with proof gates between every promise and every investment.
Current bearing
N 0°
Bearings
- 01
Bearings
Where are you, really?
What we do
Interviews across functions, systems and data audit, current AI usage and skills mapping.
What you get
No flattery: an honest state-of-AI assessment, including what’s working that you should leave alone.
- 02
Chart
Where is value — and where isn’t it?
What we do
Use-case portfolio ranked by impact × feasibility. Model strategy across both ecosystems. Governance baseline.
What you get
Explicit no-go zones: the use cases we recommend you don’t pursue, and why.
- 03
Crossing
Can it survive contact with your operations?
What we do
One or two use cases, piloted against success and kill criteria agreed before we start.
What you get
Pilots that don’t earn their way to production get killed — in writing, with the lessons documented.
- 04
Build
Ship what survived.
What we do
Production deployment: integrations, security, the winning model for each job — Chinese or Western.
What you get
Built to be operated by your team, not to make you dependent on ours.
- 05
Anchor
Does it stick when we leave?
What we do
Training, governance embedded in workflows rather than documents, adoption measurement, handover.
What you get
The phase most consultancies skip, because it ends the engagement. We think it’s the point.
Horizon · Continuous
What’s changing on both sides of the world?
Model watch and regulation watch (EU AI Act, China’s AI measures, Middle East frameworks), quarterly roadmap refresh. AI shifts monthly; your bearing should too.
The clause we’re known for
Why the kill criteria matter.
Anyone can show you a demo. The question is what happens when the demo meets your data, your processes, and your people. We put failure conditions in the contract because that’s what taking your money seriously looks like.