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Voice AI & Conversational Intelligence

Production-ready voice AI solutions with real-time speech understanding, natural language generation, and intelligent tool integration for customer-facing applications.

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Voice AI Capabilities We Deploy

Real-Time Voice Agents

Live conversational AI that understands natural speech, handles interruptions, and responds with human-like voice. Deploy across phone lines, web, and mobile applications.

Speech-to-Text & NLU

Accurate speech recognition (OpenAI Whisper, Google Speech-to-Text), natural language understanding, and intent classification for conversational workflows.

Text-to-Speech Synthesis

Natural-sounding speech synthesis (ElevenLabs, Google TTS, Azure Speech) with voice cloning, emotional variation, and multi-language support.

Telephony Integration

PSTN integration (Twilio, Plivo), WebRTC for web/mobile, call recording, transcription, and full observability of voice interactions.

Tool-Grounded Responses

Voice agents with real-time tool use (database queries, API calls, business logic) to provide accurate, data-backed answers instead of hallucinating.

Omnichannel Deployment

Single agent logic runs across phone, chat, email, and SMS. Context carries across channels for seamless customer experience.

Our Three-Layer Approach with Voice AI

1

Advisory & Governance

Establish voice AI policies, compliance requirements, and quality standards before implementation.

  • • Use case assessment (customer service, sales, internal support, outbound)
  • • Regulatory requirements (TCPA, GDPR, HIPAA, PCI-DSS for voice data)
  • • Voice security and PII handling policies
  • • Quality metrics and success criteria (resolution rate, satisfaction, latency)
  • • Call recording, transcription, and audit trail requirements

Example Deliverable:

Voice AI governance framework with compliance checklist and quality standards

2

Build & Integrate

Architect and deploy production voice AI systems with real-time streaming, tool integration, and observability.

  • • Voice pipeline architecture (STT → LLM → TTS with low-latency streaming)
  • • Telephony integration (PSTN, WebRTC, SIP)
  • • LLM configuration for voice (conversation management, interruption handling, turn-taking)
  • • Tool integration via MCP (real-time database queries, API calls)
  • • Call recording, transcription, and artifact generation
  • • Human escalation workflows and handoff

Example Deliverable:

Production voice AI system with end-to-end call observability, 240ms latency, and tool-grounded responses

3

Operate & Scale

Monitor voice agent quality, continuously improve prompts and logic, and scale to production demand.

  • • Call quality monitoring (transcripts, tool traces, decision logs)
  • • Performance metrics (resolution rate, customer satisfaction, latency)
  • • Prompt optimization based on real call data
  • • Tool accuracy and latency optimization
  • • Scaling infrastructure for peak call volume
  • • A/B testing different agent behaviors and persona

Example Deliverable:

Voice AI operations dashboard with quality metrics, automated escalation alerts, and prompt iteration workflow

Technology Stack

LLM & Speech Models

  • • LLMs: GPT-4, Claude 3.5, Gemini Live for conversational reasoning
  • • Speech-to-Text: OpenAI Whisper, Google STT, Azure Speech
  • • Text-to-Speech: ElevenLabs, Google TTS, Azure Speech, custom voice cloning

Telephony & Integration

  • • Telephony Providers: Twilio, Plivo, Bandwidth
  • • WebRTC: Web/mobile voice via browser or app
  • • Tool Protocol: MCP for real-time business logic and data access

Real-World Voice AI Use Cases

SimplyGuest: Parking Search Voice Agent

Real-time voice AI for parking search and customer support. 72% self-service resolution, 45 seconds to first recommendation, 4.3/5 satisfaction.

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Healthcare: Patient Outreach

HIPAA-compliant voice AI for appointment reminders, symptom screening, and follow-up calls. Integrates with EHR systems.

Field Service: Intelligent Dispatch

Inbound voice agents for service requests with real-time FSM (ServiceTitan, Workiz) integration for scheduling and dispatch.

Ready to Deploy Production Voice AI?

Whether you need customer support automation, inbound voice agents, or conversational IVR—we build voice AI systems that are fast, reliable, and grounded in real data.

Schedule Discovery CallBack to Build & Integrate