Long-running AI agents quietly drop compliance rules, and bigger context windows won't fix it

Long-running AI agents in enterprise workflows tend to lose compliance rules from their active memory over time, causing silent governance failures that standard LLM context window expansions and retrieval-augmented generation methods cannot fix. The solution requires separating deterministic rule enforcement from probabilistic LLM outputs to enforce immutable business logic externally.

This Wire brief sits within Fusion42's coverage of AI Infrastructure and Enterprise Software.