Post by Linksoft Technologies

83% of enterprises rank cost efficiency as the top AI priority, yet lack the architecture to manage it. Most systems use one frontier model for all tasks, including classification, extraction, and routing, even though these tasks do not require frontier-level compute. This causes cost to scale linearly with query volume.  As usage increases, costs accumulate and the system becomes difficult to change by month 18. The structural fix is a tiered routing system based on task complexity, where routine tasks use small models and complex tasks use frontier models. Each routing decision is logged, and routing is adjusted when misclassification occurs, maintaining accuracy above 92% and escalation override below 8%. Google Research reports up to 7× efficiency gains from this approach. So performance depends on correct model selection. Read more here: https://lnkd.in/d-v3eaQM