How are teams handling the boundary between custom rules and letting AI models make autonomous decisions in production systems?

Cerref
Cerref's picture

In one project I worked on, we ended up leaning heavily hybrid—core business logic stayed as explicit custom rules because compliance folks wouldn't budge on explainability, but we let the AI take over fuzzy parts like personalization tweaks where rules alone felt too brittle. It saved us from over-engineering every scenario, but we always had fallback thresholds so if confidence dipped below like 92%, it routed back to deterministic paths.

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