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The Framework

AIRL™ Framework

9 levels measuring organisational capability to deploy AI at economic scale.

How is AI readiness measured?

AIRL measures readiness for Physical AI — AI that senses, decides and acts on the physical world, not just on data or text — across nine levels and four stages, each gated by evidence: measured QCDS improvement, security audits, and closed economics, never self-reported.

The Climb · Concept to Production

CONCEPT1–3
DEVELOPMENT4–5
DEMONSTRATION6–7
PRODUCTION8–9

For: CTOs, engineering leaders, and programme managers deploying AI in manufacturing and regulated industries. Use AIRL to map AI maturity to existing standards frameworks (ISO 56000, ISO/IEC 42001, sector-specific requirements).

What AIRL Measures

Each level requires measurable progress across QCDS metrics:

Quality: Defect reduction
Cost: Operating expense
Delivery: Throughput, OEE
Safety: Risk mitigation

Where Is Your Organisation?

Take the assessment to determine your current AIRL level and get a roadmap forward.

AIRL™ Framework v1.0

Built on NASA TRL, MCRL, PAS 1040:2019, ISO 56000

View glossary and standards →