This paper continues the series of theoretical reports on friendly AI alignment. Friendly AI alignment is a failsafe alignment capable of operating beyond Artificial General Intelligence threshold, where direct control is not feasible and human safety is threatened. The alignment class is of interest for Artificial Super Intelligence instantiation. This paper presents an information system architecture that can host friendly AI alignment. A sobriquet for the architecture is Serial Comptroller Network (SCN). It implements a human-assisted, uninterpretable approach. The discussion focuses on a minimalistic solution within the framework of the proposed architecture. An assessment for its potential, utility, deficiencies and further improvement options is presented.