The AI Infrastructure Readiness Assessment is a comprehensive framework designed to evaluate an organisation's infrastructure preparedness for AI adoption and workloads. Unlike traditional IT maturity models that focus on general technology adoption, this assessment specifically examines the capabilities required to deploy, scale and sustain AI systems and workloads.
Exploring
Building
Integrating
Leading
The AI Infrastructure Readiness Assessment leverages the data from the AI Infrastructure Readiness Study to assess organisational maturity across five key dimensions of AI infrastructure and strategy:
How deeply AI is embedded in an organisation's strategy, including the clarity of vision and stage of adoption, and how AI drives innovation, delivers impact, and generates unexpected value that strengthens competitive advantage.
How prepared an organisation is for AI adoption — its culture of data-driven decision-making, leadership support, internal AI talent capacity and the effectiveness of upskilling initiatives to build future-ready skills.
The strength of data governance for AI, including data governance maturity, confidence in privacy safeguards, approaches to bias and fairness, data quality and the readiness for distributed data practices.
How well an organisation's current digital infrastructure supports AI — scalable, integrated and efficient compute, storage and network operations — ensuring data consistency and energy-efficient performance.
Readiness to scale for future growth and high-performance workloads, with sustainable, resilient operations across geographies.
