Proof lives in the operating metrics.
Evidence of how capital, operating intervention and technology change the performance of a business.
Evidence over assertion
Most transformation claims are never measured against a baseline. The evidence shows how rarely change is both achieved and sustained, which is why every North Axiom case study follows a verified standard.
Of organisational transformations succeed in improving performance and sustaining the gains.
McKinsey, The science behind successful organisational transformationsOf enterprise generative AI pilots show no measurable impact on profit and loss.
MIT Project NANDA, The GenAI Divide 2025Of deals achieve their synergy targets.
CFA Institute and Fortune analysis, via Acquisition StarsFill in: check the figures from CFA Institute and Fortune analysis, via Acquisition Stars and MIT Project NANDA, The GenAI Divide 2025 against the original before launch
Every case study meets the same standard
Thirteen components, so each result can be understood and trusted.
Context
What business problem existed.
Baseline
What was measured before intervention.
Constraint
What caused the problem.
Intervention
What changed.
Architecture
The people, process, data and technology involved.
Investment
Capex, opex and time, where publishable.
Time
Implementation and measurement periods.
Outcomes
Operational KPIs.
Economics
Revenue, cost, cash or EBITDA, where robust.
Attribution
How much is reasonably linked to the intervention.
Caveats
Other changes during the period.
Human impact
Roles, safety, training and adoption.
Evidence
Who signed off and which source system supports it.
How evidence is built
Six stages, from baseline to verification.
Baseline
Define the KPI, set the measurement period and validate the source.
Diagnose
Identify the constraint and set the counterfactual.
Build
Implement the intervention and document the costs.
Operate
Stabilise the process and track adoption.
Measure
Compare KPIs and attribute the contribution.
Verify
Chief financial officer or operator sign-off, with caveats defined.
Four kinds of statement, never mixed
Every page and article keeps these apart.
Observed fact
Independent evidence.
North Axiom view
Our interpretation.
North Axiom methodology
How we approach the issue.
North Axiom outcome
Something we have demonstrably achieved.
External benchmarks
Industry evidence, shown separately from any North Axiom result.
| Site | Published result | Relevant subject |
|---|---|---|
| Haier Shanghai | Production up 37%, delivery efficiency up 40%, conversion cost down 33% | Smart-factory economics |
| Tongwei Solar | Defects down 41%, conversion cost down 37% | AI process optimisation and quality |
| Tüpraş | Delivery reliability from 85% to 95%, truck-loading time down 75% | Supply chain and decision intelligence |
Source: World Economic Forum, Global Lighthouse Network 2025.
Fill in: check each figure against its source before launch. These came from the ChatGPT research document and have not been verified
Planned visuals
Baseline against outcome for each KPI.
How each change contributed.
What share is reasonably linked to the intervention.
Implementation and measurement periods.
Planned case studies
Neither may be published until its evidence file is complete.
- Fill in: From manual constraint to automated flowBuilding the North Axiom factory
- Fill in: Building a regime-based decision systemHow MARCO turns signals into scenarios. A methodology study, not a performance claim
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Information on this website is provided for general information only and does not constitute investment, legal, tax or accounting advice.
Case studies are illustrative and context-specific. Outcomes depend on operating conditions, implementation and other factors, and similar results should not be assumed.