Deterministic logic produces the same output every time for the same input. If an invoice total exceeds a threshold, it always routes to the CFO. No variation, no judgment. Generative logic uses an AI model to produce outputs — the response can vary based on context, phrasing, and model behavior. It handles ambiguity better but is less predictable.
Enterprise AI systems typically use both. Deterministic logic handles routing, thresholds, and compliance checks. Generative logic handles language understanding, drafting responses, and managing variability. Knowing which parts of a workflow need to be deterministic and which benefit from generative flexibility is a core architectural decision that shapes how reliable and maintainable the overall system is.
