Full-Stack PlatformsSTATUS: Live 2 0

VoxCircuit AI Customer Operations

Multimodal voice and chat customer operations platform with CRM synchronization

VoxCircuit bridges the gap between voice telephony, chat messaging, and enterprise CRM systems. It handles inbound customer phone calls with ultra-low latency voice agents, processes incoming WhatsApp and web chat inquiries, classifies urgency, and routes escalations directly to human agent desks with complete conversational context.

Inspect GitHub Source Code View Live System

01 // THE BUSINESS PROBLEM & SITUATION

Operational Context

Customer service teams struggle with overwhelming call queues, fragmented chat channels, delayed ticket responses, and disconnected CRM databases.

CLIENT / ENVIRONMENT: Engineered for high-volume service businesses, clinic networks, and SaaS customer support operations.

02 // SYSTEM ARCHITECTURE & SOLUTION

What Was Built

Architected a centralized multimodal operations hub that unifies voice telephony, chat channels, automated scheduling, and CRM workflows into a single interface.

VOXCIRCUIT // REALTIME_VOICE_OPSMultimodal Operations Diagram

CHANNELS

Voice & WhatsApp

VOICE STREAM

ElevenLabs / Telnyx

CLASSIFIER

Ticket Triage

HANDOFF

Live Agent Desk

SYSTEMS_ARCHITECTURE_EXPLODER // LAYERED_STACKFULL-STACK SYSTEM DECOUPLING

Frontend Layer

Next.js 16 App Router, React 19, Tailwind CSS, TypeScript

API & Middleware

FastAPI, Pydantic Schema Validation, Rate Limiters

Orchestration

LangGraph Multi-Agent Supervisor & State Machines

Model Providers

OpenAI GPT-4o, Anthropic Claude 3.5, Vision AI

Data Stores

PostgreSQL (Prisma), Qdrant Vector Store, Redis Caching

Observability

LangSmith traces, Pydantic audit logs, Error retries

03 // ENGINEERING CONTRIBUTION & FEATURES

Exact Contribution

Integrated real-time streaming Voice AI using Telnyx WebRTC and ElevenLabs TTS
Built multi-channel inbox unifying voice transcriptions, WhatsApp, and web tickets
Developed automated ticket classification and response drafting algorithms
Implemented one-click human supervisor approval and live call transfer gates

Key Capabilities Built

✓ Real-Time Streaming Voice AI Telephony

✓ Unified Multi-Channel Customer Inbox

✓ Automated Ticket Urgency Classification

✓ Intelligent Appointment Scheduling Flow

✓ Live Human Agent Handoff & Escalation

DATA_PROVENANCE_TIMELINE // AUDIT_TRACETRACE_ID: #TR-992041

14:22:01.002Source Ingestion

Received webhook payloadOK

14:22:01.045Schema Validation

Pydantic structured field checkOK

14:22:01.210LangGraph Reasoning

Evaluated criteria rulesOK

14:22:01.350Human Audit Check

Confidence threshold evaluationPASSED

14:22:01.480Database Commit

Created audit record in PostgreSQLCOMMITTED

*Illustrative system trace — demonstration data, not a client result.

04 // EXECUTION PIPELINE

Step-by-Step Workflow

STEP 01Customer dials support number or initiates chat inquiry.

STEP 02AI voice/chat agent engages with conversational context and tools.

STEP 03System queries CRM database to resolve customer identity and history.

STEP 04Routine requests (scheduling, FAQs, ticket status) resolve automatically.

STEP 05Complex or high-urgency queries transfer seamlessly to human staff with full transcript.

05 // ENGINEERING LESSONS & OUTCOMES

Technical Challenges Overcome

• Achieving sub-500ms voice round-trip latency over live telephony streams.
• Preventing interruptions and conversational collisions during voice speech turn-taking.

Measurable Outcomes

→ Demonstrated 70% automated resolution rate on routine tier-1 support queries.

→ Eliminated wait times for inbound callers seeking standard business information.

→ Provided human support agents with instant pre-drafted context summaries.

Lessons & Engineering Rules

"Voice AI applications require dedicated websocket streaming architectures rather than REST polling to maintain natural conversational pacing."
"Maintaining detailed transcript logs empowers human agents to step into calls seamlessly."

NEXT RELATED CASE STUDY

FrictionBrief Operational Auditor

View Study

PROJECT METADATA

ARSLAN'S ROLELead Full-Stack AI Engineer

YEAR & STATUS2025 // Live

CATEGORYFull-Stack Platforms

TECHNOLOGY STACK

TypeScriptNext.jsElevenLabsTelnyxPostgreSQLPrismaTailwind CSSVercel

GITHUB METRICS

Stars: 2

Forks: 0

Verified GitHub Update: 9/22/2026

Need a similar solution?

If your business faces similar data, automation, or software bottlenecks, let's discuss your requirements.

Start a Conversation