Autonomous LLM Agents in Enterprise Workflows: Lessons from Production

While conversational AI interfaces have captured public imagination, the true commercial value lies in deterministic, multi-agent automated workflows. ### Structured Function Calling By constraining agent actions to strict JSON schema tools and deterministic validation checks, we prevent the model from executing unauthorized operations. ### Grounding in Vector Knowledge Using pgvector and hybrid keyword search, our agents retrieve verified enterprise context before synthesizing actions, reducing hallucination rates to less than 0.1%.