AI Voice Agent Development Services

Most voice agents go live in 6 to 12 weeks. A single call type with one integration, like appointment reminders, sits at the shorter end. Multiple call flows, EHR or ERP integration, and compliance review push toward the longer end. We give you a concrete timeline after a scoping call.

We build HIPAA-aware voice systems: BAA-covered vendors in the call path, encryption in transit and at rest, PHI kept out of prompts where it is not needed, access controls, and full audit logs. We are not a certification body, but we design the architecture to pass your compliance review, and our production healthcare voice system runs under these constraints today.

It hands the call to a human. Every agent we build ships with escalation rules: low confidence, an upset caller, or a topic on the restricted list triggers a warm transfer with a summary of the conversation attached. After-hours calls that need a person get logged and queued for a callback. The agent never bluffs its way through a question it cannot answer.

We build on streaming speech-to-text and text-to-speech so the agent starts responding while the caller is still finishing a thought, and we tune barge-in handling so callers can interrupt mid-sentence the way they would with a person. Latency budgets are set per call type and tested on real phone lines, not in a browser tab.

Yes. We connect through SIP trunking or providers like Twilio, so you keep your existing numbers and routing. The agent can sit in front of your current IVR, replace it entirely, or take only overflow and after-hours calls while your team handles the rest.

English plus the major languages covered by modern speech models, including Spanish, Hindi, French, German, and Mandarin. The agent detects the caller's language and switches automatically. Quality varies by language, so we test each one against real recordings before launch rather than trusting the vendor's list.

Every call produces a transcript and an outcome label. We track task completion, escalation rate, hang-ups, and call duration, and we run new agent versions against a test set of recorded scenarios before they ship. In the early weeks we also review transcripts by hand, which catches the problems dashboards miss.

Both, depending on the project. Platforms like Vapi, Retell, and LiveKit get you to production faster, and we use them when they fit. When a project needs custom telephony behavior, strict data control, or self-hosting, we build closer to the metal with Twilio, Deepgram, and the model APIs directly. You own the result either way.

Call recordings or transcripts if you have them, the scripts or playbooks your team follows today, a list of the systems the agent must read from or write to, and an hour with someone who actually handles these calls. That is enough for us to scope the first call type.

Effort, mostly across four things: how many distinct call types you automate, how deep the integrations go (a calendar is quick, an EHR is not), compliance requirements, and how many languages you need. A single well-defined call flow is a small project. We scope against your stack and give you a fixed plan before any commitment.