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How We Build Voice Agents That Don't Hallucinate

The problem with most AI voice agents is they are given too much freedom. Here is our exact framework for scoping voice workflows to prevent errors.

June 1, 2025
6 min read

The Hallucination Problem


Most voice agents are built by connecting a language model to a telephony provider and saying "you are a helpful assistant." This is dangerous. Without boundaries, the AI will confidently provide wrong answers or invent policies.


Constraining the Model


We build voice agents using strict routing architectures. The LLM is constrained to a specific knowledge base (RAG) and is given exact scripts for certain workflows.


Clear Escalation Paths


When a voice agent does not know the answer with 95% confidence, it does not guess. It says, "Let me get someone from our team to help with that specific question," and routes the call to a human.


The Result


You get an agent that sounds natural but operates within the strict boundaries of a traditional IVR system.

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