The AI Readiness Level framework
AI Readiness Assessments.
Delivered by
AI adoption is not deployment. AIRL measures where your organisation actually stands. Born in manufacturing. Built for the real world.
9
Levels
4
Stages
3
Dimensions
Quality · Cost · Delivery · Safety
The Problem
AI adoption is not deployment.
Your AI project demos beautifully. Leadership calls it "deployed." Be honest: AI-powered research tools, static models on ad-hoc data, proof-of-concepts with no security model and no operational integration. That's adoption. That's concept phase, not production.
See the 9-level framework
How We Help
From Assessment to Implementation
We help manufacturing organisations understand where they stand on AI adoption and what it takes to move forward, using the AIRL Framework as a guide.
No.01
Assessment
Determine your current AIRL level across technical infrastructure, organisational readiness, and business alignment dimensions.
No.02
Roadmap Development
Create a practical roadmap to advance through AIRL levels, with clear milestones and resource requirements.
No.03
Implementation Support
Hands-on guidance at each stage, from proof of concept through production deployment and operational scaling.
See the Full Framework
The AIRL Framework provides a 9-level maturity model for manufacturing AI adoption, from initial feasibility through full operational deployment.
Explore the Framework →Reading
Straight talk on manufacturing AI
From the practice
The Missing Level
Why AI maturity models keep telling manufacturers they are further along than they are.
Read on kaipability.com
From the practice
The AI Did Not Fail
The post-mortem habit that blames the model when the deployment was never real.
Read on kaipability.com
Framework
Where Do You Actually Stand?
Fifteen minutes, three dimensions, an honest answer. The AIRL assessment.
Read moreAround the Web
Fortune
MIT report: 95% of generative AI pilots at companies are failing
MIT's NANDA research finds the failure isn't model quality. It's organisational integration.
Read at sourceForbes
Why 40% Of Agentic AI Projects May Be Canceled By 2027
On Gartner's cancellation forecast: 'A demo is a promise. Production is a contract.'
Read at sourceManufacturing Dive
Agentic AI is scaling in manufacturing, but infrastructure gaps remain
Autonomous workflows are arriving faster than the data infrastructure they depend on.
Read at sourceWho Is Behind AIRL
Trusted Partnership
Kaipability Ltd
Framework Developer
Senior advisory practice in advanced manufacturing, specialising in AI readiness assessment and deployment.
Developers of the AIRL Framework
Agentics Foundation
Research Partner
Strategic research partner providing industry insights and validation for manufacturing AI implementations.
Research & Validation Partner
Industry Focus
AIRL is specifically designed for manufacturing environments, from automotive and pharmaceutical to process industries. The framework addresses the specific challenges of industrial AI implementation, not generic business consulting.