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
The work between the tools.
Most operational drag is not in any one system. It is in the copying, checking and chasing that happens between them.
Technology
- Node.js services
- Queues and schedulers
- Webhooks
- Workflow platforms
- Third-party APIs
The problem
What usually goes wrong
Someone re-keys the same information into three tools every day. It works until they are on leave.
Or automations exist, built quickly by whoever needed them, with no logging — so when one silently stops, nobody notices for a month.
Our approach
What we do instead
We map where information actually moves, then automate the paths with the highest cost and lowest ambiguity.
Everything we build is observable: retries, failure alerts and a log you can read without engineering help.
Capabilities
Process mapping and opportunity sizing
System and API integration
Data synchronisation between tools
Scheduled and event-driven jobs
Notification and alerting flows
Document and report generation
Error handling, retries and monitoring
Deliverables
What you actually receive.
Scoped per engagement — this is the shape of it, not a fixed package.
01Process map with automation candidates
02Built and deployed automations
03Integration and credential setup
04Monitoring, logging and alerting
05Runbook for your team
Process
How this work runs.
Six stages, adapted to the shape of this particular engagement.
01
Discover
Understand the business, the users and the constraint that actually matters.
02
Define
Turn ambiguity into a scoped direction — what gets built, and what does not.
03
Design
Structure the experience, then the interface and the visual system.
04
Build
Engineer the product, its integrations and its content model.
05
Launch
Deploy, instrument, test against real usage.
06
Evolve
Measure, improve and extend once reality has an opinion.
Related work
Where this shows up.
Internal concepts and prototypes that exercise this capability. Labelled, because they are not client engagements.
Usually. If there is an API, a webhook or an export, there is a path. We check feasibility before promising anything.
You get alerted, the job retries where that is safe, and there is a log showing exactly what failed.
Related capabilities
Next step
Paying people to move data between tools?
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.