Prototype
Atlas Voice
AI systemA voice agent prototype for inbound appointment booking, built to test where automated calls should stop and a person should take over.
- Conversation design
- AI engineering
- Telephony
- Integrations
AI & Automation
Voice agents for the calls your team cannot get to.
Calls still convert better than almost anything else, and they are still the first thing a busy team drops. A well-scoped voice agent covers the repetitive end of that volume.
Technology
- Realtime voice models
- Telephony providers
- Node.js orchestration
- CRM and calendar APIs
- Call analytics
The problem
What usually goes wrong
Inbound calls go unanswered outside working hours. Outbound follow-ups happen when someone remembers. Qualification quality depends entirely on who picked up.
Where voice automation is attempted, it is usually a rigid phone menu that customers actively resent.
Our approach
What we build
A conversational voice agent scoped to specific call types, with your business logic behind it — availability, eligibility, pricing rules, routing.
It connects to the systems the call depends on, records structured outcomes rather than transcripts alone, and escalates to a person on defined conditions.
Capabilities
Inbound call handling
Outbound campaigns and follow-ups
Lead qualification and scoring
Appointment booking against real availability
FAQ and account-status handling
Reminders and confirmations
Call routing and human escalation
CRM, calendar and API integration
Structured call outcomes and reporting
Consent, recording and compliance handling
How it is wired
The model talks. Your business rules decide.
A voice agent is only trustworthy when the logic lives outside it and escalation is a designed branch rather than a fallback.
- 01CallerInbound enquiry, or an outbound follow-up placed on a schedule.
- 02Voice agentDiscloses that it is automated, understands intent, confirms before acting.
- 03Business logicYour rules — eligibility, availability, pricing, routing. Not left to the model.
- 04Your systemsCRM, calendar and internal APIs, read and written through a controlled layer.
- 05Human escalationDefined conditions hand the call to a person, with the context attached.
Deliverables
What you actually receive.
Scoped per engagement — this is the shape of it, not a fixed package.
01Call-type scope and conversation design
02Voice agent configuration and business logic
03Telephony setup and numbers
04Integrations with CRM, calendar or internal APIs
05Escalation rules and handover flow
06Outcome reporting dashboard
07Test call suite before go-live
Process
How this work runs.
Six stages, adapted to the shape of this particular engagement.
01
Scope
Choose the call types worth automating first.
02
Design
Write the conversation and the escalation rules.
03
Connect
Wire in telephony and the systems the call needs.
04
Build
Agent behaviour, business logic, outcome capture.
05
Test
Run a structured call suite against edge cases.
06
Operate
Go live on a subset, review transcripts, expand.
Related work
Where this shows up.
Internal concepts and prototypes that exercise this capability. Labelled, because they are not client engagements.
Yes — we disclose it. Trying to disguise it damages trust and, in several jurisdictions, breaks the rules.
The agent hands over. Escalation conditions are defined during design, not left to the model.
It depends on your region, number requirements and compliance obligations. We choose it with you rather than defaulting.
It depends on jurisdiction and consent. We build consent handling into the flow, and the final compliance decision stays with you.
Related capabilities
Next step
Missing calls, or making the same one repeatedly?
Tell us the situation in a couple of sentences. We will come back with what we would do first, and whether we are the right people for it.