Most businesses are already using AI — often more than they realize. But without structure or oversight, that early “AI innovation” can quickly turn into AI chaos.
Employees experiment with tools like ChatGPT, Gemini, and dozens of industry-specific apps every day. While that can spark fast wins, it also creates real risks: data leakage, duplication, Shadow AI, and a lack of visibility into what’s actually happening inside the organization.
To help you take control and build a safer, scalable AI foundation, we created a quick one-page visual guide:
Most organizations are already using AI in some form — but without structure, that innovation can quickly turn into Shadow AI, scattered tools, and unmanaged risk.
This infographic breaks down the four key phases of AI maturity and how to move forward safely:
Phase 1: Experimentation — Fast wins, but limited oversight and growing Shadow AI risk.
Phase 2: Consolidation — Multiple unvetted tools, no visibility, and unpredictable costs.
Phase 3: Multi-Model Strategy — Aligning the right models to the right tasks for efficiency and scalability.
Phase 4: Governance & Growth — Centralized oversight, clear policies, and secure access through ManagedAI™.
Whether you’re just beginning to explore AI or ready to scale across your organization, this roadmap offers a clear path from experimentation to execution.
Need Help Defining Your AI Strategy? IronEdge’s ManagedAI™ Services deliver the oversight, compliance, and training your business needs to adopt AI responsibly.
