The enterprise AI readiness framework: assessing your data and infrastructure

Most failed AI initiatives fail before a single model is trained — they fail because the underlying data and infrastructure were never ready. This whitepaper introduces a structured framework for honestly assessing your organisation's AI readiness across data quality, governance maturity, and integration architecture. It gives leadership teams a repeatable way to identify gaps, prioritise investments, and avoid the most common and costly mistakes.

What's inside

• A scorecard for evaluating data quality and governance maturity
• How to assess integration architecture for AI workloads
• Prioritising investments before committing to model development
• Common readiness gaps and how to close them