The Black Box Problem   Most explanations of AI agents focus on underlying technology - language models, APIs, workflow orchestration. These explanations satisfy curiosity but do not help operational leaders understand what the agent actually does in their ERP environment.    The operational question is more practical:   What does the agent do with your data?   How does it decide what action to take?   When does it escalate to humans?   How does information flow between agent

The Question   Controllers and operations managers ask why AI agents are necessary when their ERP system already has automation, workflows, and business process management capabilities. The question is reasonable. Modern ERP systems provide extensive automation features.    The distinction matters because applying the wrong automation approach to operational problems creates implementation failure and wasted effort.      What ERP Automation Actually Does   ERP automation exec

The Expectation   Controllers and operations managers evaluating AI agents often ask: "Why should we implement this separately? Why doesn't our ERP vendor just build exception handling into the product?"    The question is reasonable. ERP vendors add features regularly. Exception handling affects every customer. The capability seems like natural product evolution.    Understanding why vendors will not build this prevents waiting for solutions that will not arrive.      The Co