Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution

ArXi:2604.14723v1 Announce Type: cross Large language models are increasingly used as natural-language interfaces to enterprise software, but their direct use as system operators remains unsafe. Model errors can propagate into unauthorized actions, malformed requests, cross-workspace execution, and other costly failures. We argue this is primarily an execution architecture problem.