Many Agents, Many Vendors, Legacy Everywhere. Where AI Accountability Actually Breaks

Rene Grywnow’s 5-Minute Business Punch · Jul 23, 2026 · 6m

Part I asked who is responsible when an agent gets it wrong. Part II answers where that responsibility actually breaks, not inside any single agent, but in the gaps between agents, vendors, and machines that were never designed to talk to each other.

No agent on a real floor acts alone. It acts inside a conversation with legacy PLCs, other agents, human operators and external data, which makes root-cause analysis, and therefore accountability, far harder than in self-contained digital systems. As MIT’s Daniela Rus notes, a language model’s wrong sentence can be quietly retracted; a robot’s…