AI Production Readiness Assessment
You're running AI pilots. Getting to production is the challenge.
Based on your responses across 30 behavioral indicators
Six dimensions of AI production readiness, scored from your answers.
Your shape tells a story. Most dimensions cluster around Level 2-3. But one is pulling you back.
Your Biggest Gap
This dimension measures whether your AI agents can access, understand, and apply your organization's data and institutional knowledge. At your current score, your AI operates without the context it needs to be reliable.
This is the #1 bottleneck we see across enterprises. 63% of organizations don't have the data management practices AI needs. — Gartner, 2025
Four layers of knowledge infrastructure separate AI that demos well from AI that ships to production.
These four layers are what separate AI that demos well from AI that ships to production. Fixing one without the others creates a new bottleneck.
Where most AI projects go to die.
You're in the most common — and most dangerous — position. 50%+ of GenAI projects die between pilot and production (Gartner). The reason: pilots work because a human curated the context. Production requires that context to be systematic, governed, and scalable.
The jump from Level 2 to Level 3 is where enterprises invest in knowledge infrastructure — making data accessible, definitions consistent, rules machine-readable, and responses role-aware.
Expand each dimension to see what your score means and where to go next.
Your position relative to other enterprises pursuing AI at scale.
Detailed recommendations per dimension, research benchmarks, and a personalized roadmap — delivered as a PDF.
Download Full Report (PDF)