The process

From first call to
Outcomes.

Five steps. No wasted time. A clear path from where you are now to a sustained AI advantage your board can back.

01

Step one

Discovery Call

We discuss your organization, the problem, and constraints to determine if an executive workshop is a good fit. This is a 30-minute call — no preparation required on your side.

Organization contextProblem definitionConstraints & goalsFit assessment
02

Step two

Executive Workshop

Covers opportunity assessment, technical feasibility, and commercial feasibility. We work with your leadership team to map the landscape and identify where AI creates real value.

Opportunity assessmentTechnical feasibilityCommercial feasibilityRisk mapping
03

Step three

AI Strategy

A Board Ready AI Strategy & 90-day action plan to deliver sustained AI advantage. Clear priorities, technical architecture, and commercial model.

Board ready strategy90-day action planTechnical architectureCommercial model
04

Step four

First Engine

We deploy the highest-value, lowest-risk use case identified in the workshop. A production proof of concept with real users — delivering value from day one.

Highest-value use caseReal user testingProduction deploymentMeasurable outcomes
05

Step five

Full Deployment

With the first engine proven, we systematically deploy across remaining use cases. The subtraction software approach — build, test, keep what works, remove what does not. Lower complexity, higher reliability, compounding value.

Systematic rolloutDeliberate deletionCompounding valueSustained advantage
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Delivery method

Subtraction Software.

Any opportunity as large as the AI transformation comes with real risks. We use a stage-gated approach that combines speed with visibility. Build quickly, test with real users, keep what works, remove what does not.

The result is lower complexity, higher reliability, and faster time to impact.

SpaceX Raptor engine evolution — from complex V1 to simplified production version

Best visualised via the SpaceX Raptor Engines. V1 is a mess as it is not clear what is needed. Upon launching (and often blowing up) what is truly essential emerges. Most importantly, what is not needed can be deleted. Fewer parts means fewer failure points, and more reliability.

Why this works now

  • AI makes producing draft code, flows and interfaces fast and inexpensive
  • Modern tooling enables safe, controlled releases and quick rollbacks
  • Evidence from real usage replaces speculation, focuses investment on needs

Safeguards

  • The scarce resource is editorial judgment and deletion discipline
  • Changes are introduced gradually to small groups first, so problems are caught early and contained
  • Compliance and data protections applied before exposure to live data

Expected outcomes

  • Faster time to first usable version
  • Lower ongoing cost through reduced complexity
  • Higher reliability from fewer, better-proven components

Path Discovery Call

Build a sustained AI advantage
for the biggest tech shift
since the internet.

Our executive workshop covers opportunity assessment, technical feasibility, and commercial feasibility. The outcome being a board ready AI Strategy with a 90-day action plan to deliver.

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