For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately take actions. Without sufficient knowledge, agents are prone to making flawed and unreliable decisions.

I’ve already written volumes about the lawfare abuses of the Administrative Procedures Act, which was meant by FDR to restrain the massive bureaucracy he had brought into being, and which in the Trump era was reinvented as a blank check for any leftist group looking for a leftist judge to block anything and everything that the Trump administration might be doing.