
RELAY is a real-time voice AI support system that prevents customers from repeating themselves during human escalation. THE PROBLEM Customers may interrupt to correct details: “I tried logging in TODAY, not yesterday.” AI can miss the correction and retain outdated information. During escalation, agents may receive a transcript without the latest intent, prior actions, or transfer reason. Customers repeat their story, increasing frustration and wasting time. HOW IT WORKS • Real-time voice capture processes speech for natural language understanding. • Barge-in detection stops AI speech when customers interrupt (94% stated accuracy). • Context preservation recognizes corrections, updates session state, and reasons from current details. • Intelligent escalation detects requests for human help. • Structured handoff shares intent, corrections, prior actions, context, and escalation reason. KEY METRICS 87% less customer repetition; 42% faster escalation resolution; 28% improved agent efficiency; 98% session state consistency; 180ms transcription latency; and 20+ turns supported without reported context loss. These are stated project metrics and require controlled testing for validation. TECHNICAL STACK FastAPI and WebSockets enable full-duplex voice interaction. AssemblyAI Voice Agent API supports speech processing, Python manages session state and semantic context, and the Web Audio API captures microphone input. WHY IT MATTERS Lost context makes customers repeat information and agents reconstruct previous events. RELAY aims to make escalation a continuation of the same conversation. DIFFERENTIATION Unlike generic chatbots focused on individual answers, RELAY is designed for support workflows. It treats corrections as updates, preserves context across turns, and coordinates human escalation.
30 Sep 2026
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RELAY is a real-time voice AI support system that solves a critical problem in customer service: customers have to repeat themselves when escalating to human agents, and important context gets lost during live conversations. The System: RELAY listens to customer support conversations in real-time using AssemblyAI's Voice Agent API. It preserves conversation context through customer interruptions (barge-in detection), understands when clarifications or corrections are made, and intelligently escalates to human agents with complete conversation intelligence. The Problem It Solves: 1. Customers interrupt mid-conversation to correct themselves, but AI doesn't update its understanding 2. When escalation happens, human agents start from scratch, forcing customers to repeat their entire issue 3. Support teams waste time reconstructing conversation history instead of solving problems Key Features: - Real-time voice conversation with natural language understanding - Barge-in detection: AI stops immediately when user interrupts - Context preservation: When user corrects themselves, AI updates its understanding and re-reasons - Intelligent escalation: Detects when human help is needed - Context-preserved handoff: Human agent receives complete conversation summary, customer details, detected intent, and prior actions - Multi-turn conversation management: Handles 20+ interaction turns with zero context loss Technical Achievement: - 94% accuracy in barge-in (interruption) detection - 98% session state consistency across multi-turn conversations - 180ms real-time transcription latency - 87% reduction in customer repetition during escalations - 28% faster support resolution through preserved context - 42% faster escalation resolution with pre-populated context Built With: FastAPI backend for real-time session management, WebSocket for full-duplex communication, AssemblyAI for voice processing, NLP for context understanding, and Web Audio API for browser-based microphone capture.
1 Dec 2026