Data Readiness
Audit
Is your data actually ready for AI? Answer 15 questions across 5 areas to get your readiness score and specific recommendations.
Data Readiness Audit
Assess your data across 5 key areas in about 8 minutes. Get an overall readiness score, category breakdown, and actionable steps to prepare for AI.
5 Areas Assessed
Data Quality
3 questions
Data Accessibility
3 questions
Data Volume & History
3 questions
Data Governance
3 questions
Technical Infrastructure
3 questions
Data Quality
Why This Matters
Clean, accurate, and consistent data is the foundation of any successful AI project. Poor data quality is the number one reason AI implementations fail.
Data Accessibility
Why This Matters
Data locked in silos or inaccessible formats cannot feed AI systems. This assesses how easily your data can be reached and combined.
Data Volume & History
Why This Matters
AI models learn from patterns in data. Having enough historical data, in sufficient volume, directly impacts AI accuracy and reliability.
Data Governance
Why This Matters
Good governance ensures data is legally obtained, properly managed, and compliant with UK GDPR and other regulations - essential for responsible AI.
Technical Infrastructure
Why This Matters
Your technical setup determines how easily AI tools can connect to and process your data. Modern, API-friendly infrastructure makes AI integration faster and cheaper.
Your Data Readiness Score
Based on your responses across 5 data areas
Priority Actions
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