From Prompts to Agents: Understanding AI System Maturity Across Five Levels

As teams deploy AI systems, 'autonomy' means different things to different stakeholders—cost savings to executives, algorithmic innovation to ML engineers, distributed system complexity to backend teams. This maturity model creates a shared vocabulary, helping organizations understand where their AI systems sit and what architectural challenges accompany each level of sophistication.