eazyware
Use case

Voice AI agents for inbound calls

Handle bookings, FAQs, and routing fully autonomously. Escalate with full context.

Overview

Real-time voice agents built on OpenAI Realtime or ElevenLabs + Twilio. Handle structured tasks (appointments, billing queries, FAQs) end-to-end, transfer to humans when complexity exceeds capability with full conversation context.

Key questions we answer during scoping
  • Which call types should the AI own vs. hand off immediately?
  • How do we handle ambiguity without frustrating the caller?
  • What's the latency budget for real-time feel?
  • How do we measure customer sentiment post-call?
Reference timeline
10–14 weeks
Investment
$140k–280k
Best for
  • 1000+ calls per day
  • Structured call patterns
  • Regulated industries acceptable
Typical outcomes

What shipping this looks like.

60%
fully automated
-58%
support cost
1.2s
response time
Reference stack

The typical tools for this use case.

Every engagement picks the right tool for your context — these are defaults, not prescriptions.

OpenAI RealtimeElevenLabsTwilioLangGraphCustom STT/TTS
/ Next step

Thinking about voice ai agents for inbound calls?

Book a 30-minute scoping call. We'll tell you what shipping this looks like for your context.

~4h
avg response
Q2 '26
next slot
100%
NDA on request