Zepto built evaluation-first AI agents with dual-loop quality gates
This evaluation-first approach enforces reliability and cost control at scale by making continuous, automated quality assessment the primary mechanism for agent deployment decisions, rather than shipping agents rapidly without feedback.
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Zepto scales customer support AI with evaluation-first dual-loop system
Zepto runs a multi-agent AI system handling over 100,000 support tickets daily. To maintain reliability as volume and complexity grew, Zepto partnered with Databricks to build an evaluation-first architecture. This system uses dual-loop feedback connecting development and production environments through strict quality gates implemented on Databricks and MLflow.