Solution Sheet

AI Readiness Assessment

AI is reshaping industries, but 88% of companies admit their data isn’t AI-ready.1 Without trusted, compliant data, AI initiatives risk failure, wasted investment, and regulatory penalties.

Why AI initiatives need a data readiness plan

Rapid AI adoption is critical to staying competitive. Yet rushing in without a clear plan can lead to:

• Garbage in, garbage out. Poor or incomplete data causes AI to produce unreliable results, including hallucinations and misleading insights. This undermines both the value of AI and your confidence in its decision making.
• Cost overruns and wasted effort. AI rework consumes valuable employee time, disrupts operations, and results in sunk costs.
• Regulatory exposure. Mishandling sensitive or regulated data can lead to costly fines and lasting damage to your company’s reputation.

The stakes are too high—getting it right the first time is essential. Through a structured, five-phase framework, this AI Readiness Assessment will guide you unlocking the path to AI success.

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