Three-Layer AI Visibility Framework (3L-AiVF™)

Understanding what AI indicators really tell us.

The Three-Layer AI Visibility Framework (3L-AiVF™) is an original research programme that examines the visibility of artificial intelligence within measurement systems. It provides a structured way of understanding whether AI indicators merely describe adoption or offer evidence capable of supporting stronger analysis and decision-making.

WHY IT MATTERS

As AI becomes increasingly integrated into development programmes, organisations are introducing AI-related indicators into strategies, indices and monitoring systems.

However, not all indicators provide the same level of analytical value.

—Some indicate that AI exists.
—Some measure the extent of its implementation.
—Only a small proportion provide evidence that supports robust evaluation of outcomes and impacts.

3L-AiVF™ was developed to help distinguish between these different levels of visibility.

RESEARCH PROGRAMME

3L-AiVF™ is an ongoing programme of methodological research within Quadripoint Nexus Consult. Current work focuses on:

·strengthening conceptual foundations

·testing practical applications

·assessing existing measurement frameworks

·supporting evidence-informed AI policy

The framework continues to evolve through research, peer engagement and applied case studies.

APPLICATIONS

Where 3L-AiVF™ has potential application

Monitoring and evaluation

Composite index design

AI policy assessment

Digital transformation strategies

Research quality assurance

Evidence system design

LOOKING AHEAD

Future work will include:

Additional case studies

Methodological refinement

Practitioner guidance

Academic publication

Integration with wider development measurement frameworks

LEARN MORE

A fuller technical description will be released through future publications and guidance documents. For research collaboration, presentations or discussions about the framework, please contact Quadripoint Nexus Consult.

Contact the Lead Researcher