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AI Readiness Checklist

Answer the questions to discover your organisation's level of AI readiness.

Review six practical areas: alignment, data, infrastructure, workforce capability, governance, and roadmapping.

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Alignment & Purpose

How clearly has your organisation defined why it wants to use AI?

Are AI initiatives tied to specific business priorities?

Who is accountable for AI direction?

Data Foundations

How well organised is your data landscape?

How consistent and reliable is your data?

Is your data accessible for analysis and modelling?

Do you have controls for privacy, compliance, and sensitive data usage?

Technical Infrastructure

Does your infrastructure support scalable AI workloads and real-time data processing?

Do your systems integrate well with each other?

Do you use modern tools that already include AI functionality?

Workforce Capability

How familiar are your teams with AI concepts, terminology and tools?

Do you have people with the right technical skills for AI (data, engineering, analytics)?

How well structured are your upskilling and training programmes?

Governance & Ethics

Who reviews risks or impacts before deploying an AI system?

Do you assess risks such as bias, misuse, or unintended outcomes?

Scalability & Roadmapping

Do you have a roadmap for AI adoption (phased approach, timeline, priorities)?

How well do you plan resource needs for AI projects?

Do you run structured pilots before scaling solutions?