"If anything happens, we'll bring it up and sort it out"

The article explores the automation of processes that operate according to predefined rules without constant human intervention. The author analyzes what data and metadata must be recorded at the moment a system makes a decision so that, over time, it remains possible to conduct an audit and explain the program's logic. Special attention is paid to the role of artificial intelligence in such processes, examining the boundaries of its authority and the necessity for human oversight. The author emphasizes the importance of algorithmic transparency to ensure reliability and the ability to debug systems in the long term. Approaches to logging and documenting states that allow for the reconstruction of the system's operational context a year later are discussed. This material is useful for developers and architects involved in creating autonomous systems where reproducibility of results and the ability to analyze decisions are critical for preventing errors and ensuring safe operation.