AI Readiness Assessment

The AI advantage – and challenges

With competition in the digital economy fiercer than ever, it’s easy to understand why businesses are racing to harness the power of artificial intelligence (AI) to:

• increase productivity and efficiency
• attract and retain customers with personalized service
• create new ideas that provide a competitive edge

And yet …

• Only 12% of organizations have AI-ready data¹
• 70% face challenges integrating data into AI models due to issues around data quality, defining processes for data governance, and having sufficient training data.²

Incomplete data, poor data quality, compliance and policy struggles, and lack of context for AI to deliver accurate and actionable outputs … do these challenges and others like them sound familiar?

The fact is: there’s no trusted AI without trusted data.  And trusted data requires data integrity.  Precisely’s Data Strategy Consulting team is here to help.

Read the full AI Readiness Assessment solution sheet to learn more.

¹ Precisely and Drexel University’s LeBow College of Business. 2025 Outlook: Data Integrity Trends and Insights. September 2024.
² Tavakoli, Asin, et al. “A Data Leader’s Technical Guide to Scaling Gen AI.” McKinsey & Company, July 2