What it is
I build end-to-end AI voice calling agents for inbound and outbound use cases. That means low-latency speech-to-text, LLM-powered conversation logic, and text-to-speech output stitched into a pipeline that handles real call behavior — interruptions, silence, off-script questions, and clean handoff to a human when the AI hits its limit. Built on production infrastructure. Not a demo hosted on a free Replit.
Who it's for
Businesses paying humans to handle calls that follow a predictable structure — appointment booking, lead qualification, FAQ handling, outbound follow-ups. If the conversation has a shape, there’s a voice agent for it.
What you get
- Full voice pipeline: STT → LLM → TTS with end-to-end latency under one second
- Custom conversation logic built around your actual call flows
- Graceful human handoff when the conversation goes outside the agent’s scope
- CRM or calendar integration so every call produces a real action
- Typical result: 70–90% of routine call volume handled without human involvement
Common questions
That’s your call. The agent can disclose upfront, or it can be designed to feel natural without making a point of it. I’ll advise on what works best for your use case and jurisdiction.