abstract
When should an agent escalate to a person? Most deployments answer this with a confidence threshold, which is the wrong instrument — confidence measures the model's certainty, not the cost of being wrong. This essay formalises the conditions, triggers, and interface patterns for reliable human-in-the-loop operation in settings where a bad automated decision has physical consequences, and argues for handoff rules grounded in consequence and reversibility rather than model self-report.
keywords
Robotic Process Automation: A Qualitative Journey Through RPA's Impacts on Company Employees
Book chapter · published
File-Based Knowledge Graphs and Retrieval-Augmented AI for Complex Project Delivery
Research essay · forthcoming
Reconfigurable Smart Production System for Prefabricated Panelised Construction
Conference paper · in progress
Working on something similar?
I'd be glad to compare notes — especially with practitioners running these ideas against real operational constraints.