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Global AI Platform Achieves 40% Faster Real-Time Interactions With RTC League

The client's AI system suffered from 1:1 and group interaction delays, jitter variance, and unpredictable scaling under peak usage. Their legacy real-time stack had reached its limits, forcing them to seek a high-performance alternative leading them to RTC League.

Industries

ENTERPRISE COLLABORATION, AI SAAS, REAL-TIME COMMUNICATION

Services

LIVEKIT SUPPORT, AI AGENT ENGINEERING, AGENT AUTOMATION, MEDIA SERVER OPTIMIZATION, CLOUD INFRASTRUCTURE HARDENING

Tools We Used

LIVEKIT, KUBERNETES (EKS/GKE/AKS), PROMETHEUS, GRAFANA, OPENTELEMETRY, ELK/LOKI, AWS (S3, CLOUDFRONT), STREAMING ASR/TTS, SECURE TOKEN AUTH, DOCKER, CI/CD (BLUE-GREEN + CANARY)

Ava Intellect Dashboard

Challenges

  • Struggling with inconsistent agent behavior during live voice/video interactions.
  • Existing LiveKit deployment lacked proper architecture, resulting in latency spikes, call failures, and unstable media sessions.
  • AI pipelines were not optimized for multi-channel, real-time communication, causing delays in STT/TTS responses.
  • Lack of deterministic session orchestration between AI agents and LiveKit tracks led to workflow interruptions and duplicate message processing.
  • Media server infrastructure could not reliably support production loads, recordings, or global call flows.
  • Absence of observability, proper telemetry, and security baselines prevented enterprise-level rollout.

The client required an end-to-end LiveKit support solution with AI agent automation, hardened media infrastructure, and ultra-low latency communication.

Our Solution

01- Discovery & Architecture Audit

  • Performed a full audit of LiveKit, AI pipelines, media metrics, and integration flows.
  • Captured mission-critical user journeys including agent-initiated calls, handoffs, recordings, and 3rd-party workflows.
  • Defined measurable KPIs/SLOs for latency, availability, call performance, and MOS quality metrics.
AI Analysis

02- Agent Configuration & Performance Tuning

  • Standardized container images with pinned dependencies and resource limits for predictable agent performance.
  • Built per-agent resource profiles (CPU/Mem/GPU) for optimal scaling.
  • Tuned codec, simulcast, and bandwidth strategies across device/network profiles.
  • Integrated session affinity and sidecar logging/metrics collection for stability.

03- AI Agent Integration Engineering

  • Re-architected the signaling and integration layer between LiveKit and AI backends.
  • Added reliable event buses for idempotent message processing.
  • Designed an orchestration service mapping LiveKit tracks → agent instances → AI sessions.
  • Implemented secure token generation, expiring credentials, and overload backpressure controls.
  • Built deterministic reconnection and session-resume capabilities for network fluctuations.
AI Agent

04- Automated AI Voice/Video Communication Pipeline

  • Built a low-latency pipeline: LiveKit → egress → streaming ASR → agent logic → TTS → LiveKit.
  • Adopted partial-result ASR for faster perceived response times.
  • Implemented VAD to eliminate unnecessary ASR load.
  • Optimized short audio chunking for rapid agent reply loops.
  • Built fallback logic using prebuilt prompts or human handoff when latency spikes.

05- Media Server & Infrastructure Hardening

  • Migrated to a Kubernetes-native architecture with autoscaling LiveKit nodes.
  • Deployed centralized, autoscaled TURN fleet for global NAT traversal.
  • Enabled reliable recording/egress with S3 storage + CloudFront delivery.
  • Added L4 load balancing for media and SIP/HTTP signaling.
  • Implemented CI/CD with blue-green deployments, canary testing, and feature flags.

06- Monitoring, QA & Security Layer

  • Deployed Prometheus, Grafana, OpenTelemetry, ELK/Loki, and PagerDuty for full observability.
  • Added distributed tracing for AI flows and signaling paths.
  • Built synthetic call bots, load testing suites, and regression testing for agent behavior.
  • Enforced SRTP/TLS encryption, token auth, IAM least privilege, and audit logging.

Results We Achieved

  • 40% faster real-time communication performance, enabling sharper AI-human interaction.
  • Consistently stable agent behavior during live voice/video sessions across global regions.
  • Ultra-low latency AI STT/TTS loops, making interactions feel natural and human-like.
  • Production-grade media infrastructure capable of supporting high concurrency and global traffic.
  • Reliable recording/egress workflows with enterprise-ready durability and playback distribution.
  • Improved operational reliability, meeting defined SLOs for availability and call quality.
  • Full observability and audit readiness, supporting enterprise compliance and operational transparency.
  • Boosted platform credibility, contributing to the client's successful acquisition by WOWZA.

The organization now benefits from a scalable, automated, AI-driven communication layer engineered for performance, resilience, and enterprise adoption.

Client Experience

With RTC League's end-to-end LiveKit intervention, the platform was able to:

  • Launch advanced AI communication features faster.
  • Resolve persistent real-time integration issues.
  • Deliver a more reliable experience to enterprise users worldwide.
  • Strengthen product value, accelerating their path toward acquisition.
Client Experience AI

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