Key Takeaways
- True AI readiness is built on five foundational pillars: Vision, People, Architecture, Delivery, and Measurement. Neglecting any one of these can stall progress.
- Organizations typically evolve through four stages: Ad Hoc & Isolated, Defined & Piloting, Governed & Scalable, and finally, Intelligent & Adaptive.
- A major failure point is a lack of delivery maturity. Gartner predicts this will cause over 40% of agentic AI projects to be canceled by the end of 2027.
Too many organizations get stuck in "pilot purgatory"—they build impressive AI demos but struggle to move beyond one-off projects. The main culprit? Focusing almost entirely on the model and architecture at the expense of everything else.
The latest AI Readiness Roadmap from Camunda validates this observation perfectly. The real challenge isn't just building AI; it's embedding intelligence into the day-to-day flow of work to improve outcomes. This often requires orchestration of bots, agents, and people.
The critical leap is moving from Level 2 (Piloting) to Level 3 (Governed & Scalable). This is where you shift from isolated experiments to a centralized orchestration layer that supports reusable models, clear governance, and repeatable deployment. It’s the difference between having pockets of innovation and becoming a truly intelligent, autonomous, and adaptive enterprise.
Successful AI is rarely just about the algorithm or the LLMs. It's about orchestrating people, systems, and AI to drive measurable value at scale. A clear-eyed assessment of where you are is the essential first step.
Curious about your organization's maturity level? Take the Agentic AI Readiness Assessment now:
Agentic AI Readiness Assessment
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