Teams building multiple AI agents often face escalating costs due to ungoverned LLM routing, where agents are hardcoded to specific models without visibility into spend. This leads to using expensive frontier models for simple tasks. Implementing a governed routing system, like Covasant's SERAA Cortex with its Agent Control Tower, separates model selection from agent function, allowing runtime decisions based on task complexity and cost. This approach can reduce LLM expenses by 40-60% by matching the right model to the task and providing cost attribution and audit logs. AI
IMPACT Optimizing LLM routing can significantly reduce operational costs for AI-driven applications and services.
RANK_REASON The item discusses a product/service that addresses a common problem in AI development, rather than a novel model release or research breakthrough.
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