Enterprise AI

AI Readiness

AI readiness describes a company's maturity level for successfully introducing and productively using artificial intelligence. It spans five dimensions: data quality and availability, technical infrastructure, process maturity, employee competence, and organizational change readiness — together they determine whether AI projects succeed or fail.

Why does this matter?

The majority of failed AI projects fail not because of technology but due to lack of readiness: missing data foundations, unclear processes, or insufficient buy-in from business units. An honest readiness check before starting saves investment in projects that would crash against organizational hurdles.

How IJONIS uses this

Our AI Readiness Check analyzes your company across all five dimensions with a structured assessment. You receive a detailed score with concrete recommendations — prioritized by impact and effort. This way, you know exactly where you stand and which steps come next.

Frequently Asked Questions

How do I measure my company's AI readiness?
Through a structured assessment across the five dimensions: data, infrastructure, processes, competencies, and culture. Our AI Readiness Check delivers an initial score in minutes — a deeper analysis follows with a workshop involving your business units.
What should we do if our AI readiness score is low?
A low score is no cause for concern — it clearly shows where investment is needed. Typical quick wins: breaking down data silos, documenting existing processes, and starting a small pilot project that delivers quickly visible results and builds internal trust.

Want to learn more?

Find out how we apply this technology for your business.