Reducing Enterprise AI Costs in Complex Agentic Workflows

Enterprise Agentic AI is hitting a massive cost bottleneck. While multi-agent systems offer high reliability, their recursive token usage can make production costs unsustainable. We addressed this by implementing Tiered Inference, Context Pruning, and Deterministic Circuit Breakers. By routing simple tasks to smaller models and using code to handle non-ambiguous logic, we reduced our execution costs by over 80% without sacrificing performance. In 2026, scaling AI is as much a financial engineeri...