AI Readiness
An organisation's preparedness to successfully adopt and benefit from AI, including data, technology, talent, and cultural factors.
In-Depth Explanation
AI readiness assesses how prepared an organisation is to implement AI successfully. It evaluates multiple dimensions that determine whether AI initiatives will deliver value or struggle.
AI readiness dimensions:
- Data readiness: Quality, accessibility, governance of data
- Technology readiness: Infrastructure, tools, platforms
- Talent readiness: Skills, training, hiring capacity
- Process readiness: Workflows suitable for AI integration
- Cultural readiness: Openness to AI, change tolerance
- Leadership readiness: Understanding, sponsorship, investment
- Governance readiness: Ethics, risk, compliance frameworks
Assessment approach:
- Score each dimension (1-5 scale)
- Identify gaps vs. requirements
- Prioritise improvement areas
- Create readiness roadmap
- Track progress over time
Common readiness gaps:
- Poor data quality or accessibility
- Lack of AI talent
- Unclear business ownership
- Insufficient executive sponsorship
- No governance frameworks
Business Context
AI projects fail when organisations aren't ready. Assessment identifies gaps early, allowing remediation before expensive initiatives begin.
How Clever Ops Uses This
We conduct AI readiness assessments for Australian businesses, identifying gaps and creating practical plans to build necessary capabilities.
Example Use Case
"Assessing AI readiness before a major automation initiative, discovering critical data quality issues that must be addressed before AI can deliver value."