A rigorous, non-technical examination of agentic and autonomous AI systems, focused on how autonomy emerges, why risks compound over time, and how organizations must govern these systems.

A practical, non-technical framework for evaluating AI systems and vendors beyond demos, benchmarks, and surface-level performance claims.

A rigorous, non-technical foundation that explains how modern AI systems actually work, why they fail, and how professionals should evaluate, govern, and use them responsibly.