What I built
A set of voice AI agent demos built using Retell AI, designed to showcase what production-grade voice agents look and sound like in real business contexts — booking, lead qualification, and support triage.
Why it matters
Voice AI is moving fast but most demos are shallow — they show a single exchange in perfect conditions. These demos are designed to handle real edge cases: ambiguous answers, pushback, escalation requests, and fallback paths. The goal is to help buyers understand what they're actually getting before they commit.
How it works
- 1Each agent is configured in Retell AI with a structured script, intent detection, and escalation logic
- 2Agents handle common edge cases: unclear input, off-script questions, escalation to a human
- 3Call recordings and transcripts are reviewed to identify failure patterns and improve scripts
- 4Demo scenarios are designed around real SMB use cases, not synthetic examples
Demo scenarios
Booking & scheduling
Agent handles inbound appointment requests and calendar coordination.
Lead qualification
Agent qualifies inbound leads on key criteria and routes to the right rep.
Support triage
Agent handles tier-1 queries and escalates with full context attached.
Stack and tools
Built with Retell AI voice agents to prototype and showcase agent behaviour in production-realistic scenarios.
What I'd improve next
- →Add call analytics to track drop-off points and intent signals per call
- →Test with real SMB customers to validate the booking and triage flows against actual usage
- →Add a CRM integration to log call outcomes and follow-up tasks automatically