Voice AI Agents
Voice agents for web and phone experiences, built around streaming conversation, interruption handling, approved tools, and clear escalation paths.
What this covers
What does voice AI agent development include?
A voice AI agent combines speech recognition, model reasoning, tool use, speech generation, and conversation state in a real-time interface. The engineering work includes latency, interruptions, silence, retries, transfer behavior, permissions, and the backend integrations required to complete the actual task.
Technical Deliverables
- Conversation, interruption, and escalation design
- Streaming speech and agent pipeline
- Approved tools and backend integrations
- Session state, validation, and fallback behavior
- Web or telephony interface integration
- Scenario testing, deployment, and handoff
Where it fits
Problems this service can address
- A phone or voice workflow depends on repetitive questions and manual routing.
- An existing voice prototype speaks well but cannot complete useful actions in business systems.
- Latency, interruptions, silence, or tool failures make the conversation feel brittle.
- Sensitive or unsupported requests need a deliberate transfer or fallback path.
Common Questions
Can a voice agent call APIs and complete actions?
Yes. It can use controlled tools for tasks such as lookup, qualification, scheduling, or updating a workflow when the required system exposes a suitable integration.
Can it handle interruptions?
Interruption handling can be built into the streaming conversation so the agent stops speaking, updates the active turn, and continues from the new user input.
Does it work on the web or over the phone?
Either is possible. The right transport depends on the audience, required integrations, call flow, and deployment constraints.