Only 12% of enterprises have reached the point where AI consistently drives performance and growth. The rest split roughly into thirds: 34% are restructuring how they operate around AI, 30% are redesigning key processes, and 37% are still running surface-level experiments that never reach production.
The gap isn't talent or model sophistication. It's organizational readiness. Legacy systems without API-first architectures stall nearly 20% of modernization efforts at around $1M each. And 66% of employees admit they accept AI outputs without checking accuracy. Proving a pilot works is a different challenge from running AI reliably at scale.
This new scorecard from N-iX measures AI maturity across five pillars (data, technology, people, governance, and business alignment) and maps organizations onto five levels, from isolated experimentation to the fewer-than-1% running AI-driven operations. Yaroslav Mota, Head of AI and Engineering Excellence at N-iX, lays out a four-stage assessment method and includes a self-assessment quiz you can score yourself.
Discover where your organization stands, which pillar is capping your progress, and how to build a roadmap that scales. Full analysis in this guide!
Only 12% of firms have AI consistently driving growth. See where you stand!
From isolated pilots to AI-driven operations, map your enterprise across five maturity levels and five readiness pillars.
