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Assistant systems investigated today are beneficial in principle, but may induce additional load for the pilot, especially if the system intervenes at a time when the human has no more free cognitive resources to adopt the offered support. This article describes an approach how to enable a knowledge-based pilots’ assistant system in the domain of military helicopter missions to interact with the pilot by resource adaptive dialogue management. To minimize the automation induced additional load for the pilot, the assistant system estimates the pilots’ residual mental capacity and furthermore the current cognitive workliad in the first step. This assessment enables the system to direct dialogues to the perceptual modality and code, which can be assumed to provide spare resources. Within this article, we provide a description of the implemented resource model, the conducted experiments as well as results of the overall evaluation of the adaptive capabilities in a relevant mission context provided in our research flight simulator.