TELECOM
AI Voice Agent Development for Telecom
Telecom teams face a familiar wall: support volume dominated by a handful of questions nobody has automated. Phone and web voice agents that sound human and never sleep. Midalaxy builds it as a production system — integrated with your tools, measured against your metrics.
concurrent calls in production
What this looks like in telecom
What gets automated in telecom
- Activation and provisioning support
- Fault diagnosis and triage
- Billing and usage queries
- Engineer appointment scheduling
- Churn and retention outreach
SYSTEMS IT HAS TO MEET
- · OSS and BSS platforms
- · billing and mediation systems
- · network monitoring and ticketing
- · CRM and field-service scheduling
We integrate with what you already run rather than asking you to replace it.
WHAT MAKES THIS HARDER
A truck roll is the expensive outcome, so triage accuracy matters more than deflection rate. Wrongly avoiding a visit costs more than wrongly booking one.
What governs telecom systems
Universal service obligations
Some customers must be served through channels automation cannot replace, and that is a licence condition rather than a preference.
Billing accuracy rules
Disputed charges carry regulatory handling requirements, so any automated billing answer has to be traceable to the record.
Lawful intercept and retention
Communications data carries retention and access obligations that constrain where systems may run.
Where the data actually lives
- OSS and BSS are separate worlds with separate truths, and reconciling network state with billing state is a project in itself.
- Network telemetry is enormous and mostly noise; the useful signal is a correlated event rather than a metric.
- Customer records span acquisition, billing and support systems that were rarely designed to be joined.
- Fault history is written in free text by engineers under time pressure, which is exactly the data triage models need.
The numbers telecom teams manage by
Truck-roll rate
An engineer visit is the expensive outcome and the one triage is judged by.
Mean time to repair
What customers experience during an outage and what SLAs are written against.
Contact deflection
Support volume is dominated by a handful of question types, which is what makes it automatable.
Churn at contract end
Where retention outreach either works or annoys.
How these projects fail in telecom
Optimising deflection over accuracy
Wrongly avoiding a truck roll costs more than wrongly booking one. The metric has to reflect that asymmetry.
Triage without network state
A diagnosis that ignores whether there is a known outage in the area wastes the customer's time and the engineer's.
Ignoring the accessibility obligation
Automation that becomes the only route excludes customers the licence requires you to serve.
Training on unlabelled fault text
Engineer notes describe symptoms and fixes inconsistently. Without a labelling standard, the model learns the note-taking rather than the fault.
Capabilities
- Inbound & outbound call automation
- Sub-500ms STT→LLM→TTS pipelines
- Multi-turn memory and role switching
- CRM, calendar and escalation workflows
Shipped, and measured
Frequently asked questions
How fast can an AI voice agent respond?
Our production pipelines respond in under 500 milliseconds end-to-end — fast enough that callers speak naturally, without the awkward pauses of typical bots.
Can the agent book appointments and update our CRM?
Yes. We wire post-call automation for CRM updates, appointment scheduling and human escalation, eliminating manual work on routine interactions.
How many calls can it handle at once?
The same architecture we build for clients sustains 10,000+ concurrent calls with a 99.9% uptime SLA, auto-scaling through traffic spikes.
Related
Voice Agents for telecom — let's scope it
Tell us what you are building. We reply within one business day.