AuraOps: Autonomous Multi-Agent Lead Qualification System
Engineered an autonomous multi-agent triage system that answers inbound inquiries 24/7 across voice and chat, qualifies budget and project scope, and books calendar meetings automatically.
Client
Zelvante Labs
Headline metric
45s
Tech stack
Next.js 15 · LangGraph · Retell AI · PostgreSQL · Tailwind CSS
The situation
Service businesses lose up to 60% of potential leads when inquiries arrive after hours or on weekends. Traditional contact forms result in 4 to 12-hour response delays, causing hot prospects to call competitors.
What we did
- Integrated dual-channel voice and chat agents with sub-second latency using streaming LLMs.
- Configured multi-agent state machines to verify customer criteria, filter spam, and extract budget.
- Automated calendar syncing and webhook dispatch to CRM pipelines with zero human intervention.
What we shipped.
45 sec
Lead response time (down from 4.2 hours)
24/7
Continuous inbound coverage without staff overhead
3.4x
Increase in scheduled discovery calls
How it shipped.
Architecture & Prompts
Day 1-3
Design agent state graph, tool calling, and guardrails
Voice & Web Integration
Day 4-8
Implement Twilio telephony, WebSocket audio, and UI widgets
Testing & Deployment
Day 9-12
Load testing, error recovery, and production rollout
“The automated triage system completely transformed how inbound leads are handled. We went from losing weekend leads to having booked calls on Monday morning.”
Shah Masud
Founder, Zelvante
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