Skip to content
Real-Time Voice Agents

Services/Artificial Intelligence/Real-Time Voice Agents

Artificial Intelligence

Real-Time Voice Agents

Voice-first AI agents that handle phone calls and voice interactions in real time, using cutting-edge speech-to-text, LLM reasoning, and text-to-speech for natural conversations.

By the Numbers

500ms

Average Latency (end-to-end)

97%

Speech Recognition Accuracy

60%

Operational Cost Reduction

24/7

Phone Coverage Availability

How It Works

Building Your Voice Agent

01

Voice UX Design

We design the conversation flows, persona, and voice characteristics for your agent. This includes mapping intents, defining fallback behaviors, and scripting key interactions.

02

Pipeline Assembly

We wire together the STT, LLM, and TTS components with LiveKit's real-time infrastructure. Silero VAD ensures clean audio segmentation for accurate turn-taking in conversations.

03

Integration & Function Calling

The voice agent is connected to your business systems via function calls. Reservation APIs, CRM lookups, and database queries are made available to the agent as callable tools.

04

Testing & Deployment

We rigorously test with diverse accents, background noise, and edge cases. After fine-tuning latency and accuracy, the agent goes live with real-time monitoring dashboards.

What We Deliver

Real-Time Speech Pipeline

Ultra-low-latency audio streaming via LiveKit with Silero VAD for precise voice activity detection. Conversations feel natural with sub-second response times.

Advanced Speech-to-Text

Groq-accelerated Whisper models transcribe speech with exceptional accuracy across accents and noise conditions. Supports Spanish and English with automatic language detection.

LLM-Powered Reasoning

Cerebras-hosted language models process transcribed speech and generate intelligent, contextual responses. The agent understands intent, handles multi-turn dialogue, and performs actions.

Natural Text-to-Speech

Google Cloud TTS produces human-like voice output with appropriate prosody and emotion. Multiple voice profiles and languages ensure the agent matches your brand personality.

Reservation & Booking Engine

Built-in function calling enables the voice agent to check availability, create bookings, and confirm reservations. Integrates directly with your calendar and booking systems.

Semantic Voice Search

Voice queries are converted to vector embeddings and matched against your knowledge base. Customers can ask complex questions naturally and receive accurate answers instantly.

Use Cases

Voice Agent Use Cases

1

Restaurant Reservations

A restaurant deploys a voice agent to handle reservation calls 24/7. The agent checks table availability, confirms party size and dietary preferences, and sends a confirmation via SMS after booking.

2

Appointment Scheduling

A healthcare clinic uses a voice agent to manage appointment bookings by phone. Patients call, describe their needs, and the agent finds available slots with the right specialist.

3

Order Status Hotline

A logistics company runs a voice agent that lets customers check delivery status by calling in. The agent looks up orders in real time and provides estimated arrival times without hold queues.

Technology Stack

LiveKitGroq WhisperCerebrasGoogle TTSSilero VADWebRTC

FAQ

Frequently asked questions

Ready to get started?

Let's discuss how this solution fits your business.

What is an AI Voice Agent and How Does It Work?

An AI voice agent is a conversational system that handles phone calls or in-app interactions without human intervention. At AISDC we build these pipelines across three stages: first, the user's speech is converted to text by a speech-to-text engine such as Groq Whisper STT, optimized for Latin American Spanish; next, a low-latency LLM like Cerebras processes the conversational context and generates a coherent reply; finally, a TTS engine returns natural-sounding audio to the caller. This entire cycle happens in milliseconds, enabling smooth, natural conversation free of awkward silences or robotic phrasing. The voice assistant handles interruptions, partial confirmations, and topic shifts—behaving like a real interlocutor rather than a rigid voice bot following a decision tree.

Use Cases: Reception, Scheduling, Collections, and Support

AI-powered phone service solves scenarios where call volume exceeds human capacity or where 24/7 availability is essential. A voice bot can serve as a virtual receptionist: greeting callers, identifying the reason for the call, and routing to the right department. In clinics and medical offices it schedules appointments, sends reminders, and confirms attendance. In collections operations it delivers payment reminders with an empathetic tone and logs agreements directly in the CRM. For first-level technical support it resolves frequently asked questions, validates contracts, or guides users through simple processes. Every interaction is recorded, transcribed, and structured for later analysis, eliminating repetitive operational load from the human team and freeing staff for higher-value work.

Latency and the Natural Conversation Experience

Low latency is not a technical footnote—it is the difference between a fluid conversation and a frustrating experience. If the voice assistant takes more than 800 ms to respond, users perceive the system as slow or broken. At AISDC we orchestrate models through LiveKit to manage real-time audio streaming, reducing end-to-end latency to under 600 ms under normal network conditions. The voice agent detects when the user interrupts—barge-in—and immediately stops its own speech, exactly as a human would. Combined with TTS voices that modulate tone and pace according to context, the result is an interaction users experience as genuinely natural rather than a conventional voice bot reading from a script.

Telephony Integration, CRM Connectivity, and Human Handoff

An AI voice agent does not operate in isolation: it must connect with existing infrastructure. AISDC integrates these systems via SIP trunks or carrier APIs such as Twilio and Vonage, compatible with both on-premise and cloud PBX environments. The agent accesses customer databases, ticket history, and calendars in real time to personalize each call. When the situation warrants it—complex queries, complaints, or frustrated users—the system transfers the call to a human agent, simultaneously delivering a context summary: what the user said, what information was already verified, and the actual reason for the call. This eliminates data repetition, shortens resolution time, and improves both customer experience and team efficiency.

Specialized solutions by industry & city

Custom software built for specific needs. Explore the solution closest to your business: