Cognifyr designed and deployed a self-hosted real-time voice AI calling assistant for an enterprise client that needed secure, intelligent, and scalable customer communication automation.
The system was built to answer calls, understand caller intent, respond naturally, trigger business workflows, and scale for high call volumes while keeping infrastructure, data flow, and call logic under client control.
The Challenge
High call volume during peak hours and outside working hours
Long wait times caused by repetitive support questions
Manual call note-taking and weak intent tracking
Data privacy concerns with closed third-party voice AI platforms
Limited customization in basic IVR-style call bots
OUR SOLUTION
Self-Hosted Voice AI Communication Layer
Real-Time Voice Conversation
A low-latency pipeline converts caller speech to text, maintains conversation context, reasons over the request, and speaks back through natural TTS.
- Streaming speech-to-text
- Context-aware responses
- Natural text-to-speech
Workflow Automation
The assistant connects to business systems to create tickets, capture leads, book appointments, update CRM records, and send post-call summaries.
- Tool calling
- CRM and ticketing hooks
- Call summaries
Human Handoff
The system escalates when confidence is low, when the caller asks for a person, or when business rules require human approval.
- Escalation rules
- Transcript handoff
- Caller context transfer
Real-World Applications
Customer Support
Handle repetitive inquiries and create structured support tickets from calls.
Lead Qualification
Collect requirements, qualify intent, and route qualified leads to sales teams.
Appointment Booking
Check availability, capture details, and trigger booking workflows.
Real-Time Voice AI Pipeline
Telephony Gateway
Phone calls enter through a SIP or telephony gateway and are routed to the voice agent orchestrator.
Speech Processing
Live audio is transcribed with noise-tolerant streaming speech-to-text.
AI Reasoning Layer
The assistant detects intent, tracks context, applies business rules, and decides the next action.
Response and Logging
Text-to-speech returns a natural voice response while transcripts, summaries, and analytics are stored securely.