AI Readiness Assessment

1. Technical Infrastructure

How would you describe your organisation's current technical infrastructure and data management capabilities?

Limited - We have basic systems with minimal data integration and legacy infrastructure that would require significant upgrades

Moderate - We have some modern systems and decent data management, but would need improvements for AI implementation

Advanced - We have robust, modern infrastructure with excellent data management, cloud capabilities, and integration-ready systems

How does your organisation typically respond to new technology adoption and process changes?

Resistant - Change is typically met with scepticism, and new technology adoption is slow with significant pushback

Cautious - We eventually adopt new technologies but prefer proven solutions and need extensive training and support

Adaptive - We embrace innovation, have strong change management processes, and employees are eager to learn new technologies

What is the current level of generative AI knowledge and technical expertise within your organisation?

Minimal - Very few team members have generative AI experience, and we would need extensive external support and training

Growing - Some team members have basic generative AI knowledge, and we have identified skill gaps with plans to address them

Strong - We have experienced generative AI practitioners, data scientists, or strong technical teams ready to implement AI solutions

How well has your organisation identified specific AI use cases that align with business objectives?

Unclear - We know AI could be valuable but haven't identified specific use cases or business applications

Developing - We have some ideas for AI applications and are exploring potential use cases with measurable business impact

Well-defined - We have clearly identified high-impact AI use cases with defined success metrics and business value