AI-Native Entry Framework philosophy
What AI-native means here
We use AI-native to describe an organisation that deliberately integrates AI into its work, decisions and learning. It is our organisational approach, not a legal classification or a certification awarded by a regulator.
An AI-native individual understands what AI can and cannot do, uses it within appropriate rules, applies it to useful work and critically checks its outputs. An organisation also needs accountable owners, suitable data and technology, resources and evidence that the new way of working is useful and safe.
Training individuals and developing internal change agents can support that shift. Culture and operating performance do not change automatically after a course; they need management support, practice and feedback.
Why an entry framework
The framework helps connect an initial problem to the next concrete step. Some customers start with regulatory questions, others with skills, adoption or a specific implementation. Each level has a different purpose; the sequence is a guide rather than a requirement to buy every service.
| Level | Purpose | What to look for in the result |
|---|---|---|
| L0 — Navigate | Orientation and context | Understand the concepts, relevant questions and possible next steps |
| L1 — Align | Governance and applicable duties | Defined scope, ownership, rules, gaps and evidence needed for implementation |
| L2 — Transform | Individual AI competence | Practice using and evaluating AI in the participant’s work |
| L3 — Innovate | Adoption and change leadership | An approach to guiding changes, supporting colleagues and evaluating results |
| L4 — Verify | Readiness and independent verification | Defined audit criteria, evidence, findings and a remediation plan; certification depends on the relevant body’s process |
| L5 — Execute | Implementation and operation | An agreed implementation scope, acceptance evidence and operating responsibilities |
Learning and certification
The course names associated with L2 — Transform and L3 — Innovate are AI-Native Foundations and AI-Native Change Agent. The current course page and agreed offer specify the format, duration, provider and certificate conditions. A professional learning certificate concerns the individual and the relevant course scheme; it is separate from organisational management-system certification or product conformity assessment.
Training can support AI Act Article 4 literacy measures. The organisation must select suitable measures for relevant people, their experience and how AI is used; a course alone does not establish organisation-wide legal compliance.
How we judge progress
- People can explain when to use AI, when to verify and when to escalate.
- Owners know which rules apply to their systems and can produce relevant evidence.
- A defined use case has acceptance criteria and a measured result.
- Changes, incidents and new risks feed back into the operating process.
The useful outcome is an organisation able to make and maintain informed decisions about AI. Documentation, training, audits and technical implementation contribute in different ways and should each have a clear scope.
Explore the N · A · T · I · V · E levels · Management brief
Content reviewed: 6 September 2026. Primary sources: AI Act — Article 4, ISO/IEC 42001.