24/7 inbound coverage. No missed calls. No receptionist cost.
AI voice agents that qualify inbound callers, book appointments, and screen applicants, indistinguishable from a trained human agent, available every hour of every day.
Calls are missed, leads drop off, and your team is answering questions a system could handle.
Every business with inbound call volume faces the same maths: a human receptionist costs £25–40K per year, works business hours only, handles one call at a time, and goes on holiday. The result is missed calls, dropped leads, and specialist time spent on qualification questions.
We build voice agents that handle inbound calls end-to-end, with natural conversation, real-time calendar access, CRM integration, and hand-off logic for calls that need a human. Deployed via Vapi, with ElevenLabs voice synthesis. Live in under a week.
Calls go to voicemail outside business hours. Specialists spend 20+ hours/week on inbound qualification. Leads drop if not called back within minutes.
Every call answered 24/7. Caller qualified, appointment booked, CRM updated, automatically. Specialist only receives hand-offs that need human judgement.
How we build it.
Every stage has a defined role and a quality gate before the next one runs, the same engineering spine under every Agentix system.
- 01
Use Case Scoping
We map every call type, qualification question, booking flow, and hand-off trigger. This defines the conversation design and integration requirements.
- 02
Conversation Design
All call flows, objection handling, and disambiguation scripts written and reviewed. The agent knows when to press, when to offer alternatives, and when to hand off.
- 03
Voice Configuration
Vapi agent configured with your chosen ElevenLabs voice. Latency optimised, target under 400ms response time for natural conversation rhythm.
- 04
Integration
Calendar API for live slot availability. CRM webhook to update contact records after every call. n8n automation for any post-call actions.
- 05
Test & Refine
50+ call scenario tests before live deployment. Edge cases: caller confusion, unusual requests, unhappy paths all tested and handled.
- 06
Deploy & Monitor
Live in 2–5 days from scoping sign-off. Call recordings and transcripts available. Performance monitored on qualification rate and booking conversion.
Delivered on
every engagement.
You own all of it, code, infrastructure and data, from day one. No licence fees, no hosted dependency.
- Vapi voice agent configured for your specific use case and call flows
- ElevenLabs voice synthesis, natural conversational tone, not robotic IVR
- Conversation design covering all call scenarios, objections, and hand-off triggers
- Google Calendar / Calendly integration for real-time appointment booking
- CRM update webhooks, n8n automation to update your existing system
- Testing corpus of 50+ call scenarios before production deployment
Not a demo. In production.
Open-source.
Self-hosted. Owned.
Built on components you can host, fork and extend. LiteLLM abstraction means you swap models without rewriting integrations.
Hear the agent
before you commit.
Pick a scenario, enter your number, and a production voice agent calls you for a live demo, the same stack behind A&A's £25K/yr receptionist recovery.
Is this your
problem shape?
Describe what you're trying to do. We'll confirm whether this is the right system type, scope the build, and tell you what the eval harness looks like.