When you think about potential enterprise AI failures, you might think of model hallucinations, biased data, coding issues, or security vulnerabilities. But what about the crises caused by software and workflows that technically were executed according to plan? What those incidents often lack isn’t quality assurance testing but adequate scoping. 

With the release of GenAI and agentic AI, the technology has exited the lab and entered the boardroom at a scale we’ve never seen. It has moved from "specific use" to "general use," released into the wild of everyday work and life, where it is significantly harder to control.