When Should AI Stop and Hand the Work Back to a Human?

Abstract:
We all want AI that moves fast. We also know some work should never run without a person signing off, especially when it touches money, customers, data, or compliance. This talk walks through a practical pattern called a Level-4 gate: the machine does the checking first, a named human still makes the call, and every decision leaves a trail the team can review later. We'll look at where automation should fail closed, where soft suggestions quietly get rubber-stamped, and how to tell the difference before it bites you. We will finish with a hands-on demo and practical advice you can implement immediately.

Bio:
Nathan Platter is a Lincoln-based builder of decision-ready data and AI systems with human-in-the-loop gates. He owns Hold the Send, which builds operator tools for collections dispute queues and dealership sales desks. In September 2026 he spoke at brAInstorm in Denver on "Taming the Dispute Queue" alongside Ralph Hall, Ari Derman, and Olga Mironova, and he presents for the DAMA Rocky Mountain Chapter at the University of Denver on Oct 22. His focus is simple: AI that checks itself before a human signs off.