Refract

Refract

Voice agents

FAQ

Questions buyers ask before they put an AI agent into a real workflow.

Refract is built for business calls, website help, internal support, and intake workflows where handoff, data, and process control matter.

How is this different from a generic AI voice product?

Refract is an engineered agent system: script state, tool calling, knowledge grounding, observability, escalation, and compliance controls trained on your data.

Does my agent learn from other clients?

No. Client data is not pooled into shared model training. Your call data, scripts, knowledge graph, and transcripts serve your agent only.

How long does deployment take?

A first production-quality workflow usually takes 4-8 weeks, depending on data readiness, integrations, and compliance review. Website Sales Agent deployments can be faster.

What telephony do you work with?

Twilio, LiveKit Cloud, and SIP-capable providers. Refract supports inbound, outbound, warm transfer, recording, and browser-based voice entry points.

What about hallucinations?

Responses are grounded in a client-specific knowledge graph and distilled script. Tool calls use real systems for real data, and claim-evidence guardrails flag ungrounded assertions.

Can the agent transfer to a human?

Yes. Refract supports warm handoff on the same call with the context preserved so callers do not have to restart the conversation.

Still deciding?

The best answer usually depends on one workflow.

Share the calls, chats, or internal requests that are slowing the team down. We will help map what an agent should answer, route, or hand off.

Talk with us about Refract

Share your work email and the call workflow you want to fix. We will follow up to talk through fit, data readiness, integrations, and pricing.

Founder-led deployment