The hidden technical debt of agentic engineering

Engineering teams are discovering that production AI agents create massive infrastructure debt similar to early machine learning systems. While building agents is simple, production deployment requires seven complex infrastructure blocks: integrations, context lakes, agent registries, measurement systems, human-in-the-loop controls, governance, and orchestration. Without centralized infrastructure, organizations face sprawling agent ecosystems with security risks, duplicate efforts, and maintenance nightmares.