GenAI Case Study: Voice Agent
Conversational Automation for Hospitality
How EFS Networks deployed an AWS-powered voice AI agent that handles thousands of inbound calls daily for a multi-location hospitality brand — reducing call abandonment by 78% and saving over 1,000 labor hours per month.
Business Challenge
Customer service lines were overloaded. Missed calls and order errors were common during peak hours. The client — a multi-location hospitality brand managing thousands of calls daily — needed a voice agent that could handle inbound calls responsibly and escalate when needed.
AWS-Powered Solution
EFS Networks designed and deployed a production voice AI pipeline combining real-time speech processing with LLM-powered dialogue management:
- Amazon Transcribe Streaming + Polly — Bi-directional speech processing for real-time voice interaction
- Amazon Bedrock (Claude 3 Sonnet) — LLM dialogue management powering natural, context-aware conversations
- AppConfig Safety Policies — Keyword detection for allergies, large parties, and complaints triggers immediate escalation
- Amazon Connect + Step Functions — Intelligent call routing to human agents when safety conditions are triggered
- S3 + OpenSearch Serverless — Transcript archive and semantic analytics for operational insights
- SageMaker Pipelines — Weekly call-topic summary generation for business intelligence
Safety and Compliance
Guardrails prevent unsafe recommendations including food allergen guidance and medical advice.
Fallback to human agent within 1 second of trigger detection — ensuring responsible escalation.
All calls logged and audited under GDPR-compliant retention policy with full transcript archival.
Outcomes
| Metric | Before | After | Change |
|---|---|---|---|
| Avg call handling time | 6 min | 3.1 min | ↓ 48% |
| Call abandonment | 23% | 5% | ↓ 78% |
| Intent recognition accuracy | — | 0.90 F1 | — |
| Human handoff rate | 100% | 17% | ↓ 83% |
Ready to deploy AI-powered voice automation for your business?
Talk to EFS Networks