Industries Telecommunications
Networks and customer care that run themselves.
Care, network and billing workflows automated end to end at carrier scale, on the infrastructure you already run.
Clients in telecom
What AI changes in telecom.
Optimise the network, improve customer experience and automate incident management for operators handling millions of customers.
Faster resolution
Incidents classified, root-caused and routed automatically. Resolution time fell 40% for one of Asia's largest operators.Every call audited
Speech and language AI score ten times more conversations than manual audits did.Fewer customers lost
Churn signals spotted early from a single view of the customer, in time to make the right offer.The workflows that run an operator.
Each one runs on the systems you already have. It starts beside your team and earns autonomy as it proves itself.
Incident triage and auto-resolutionSupport emails and alerts read, the root cause found, and tickets routed or closed as soon as they arrive.
Network lifecycle and fault analysisAlarms and logs correlated so engineers start with the likely cause, and network functions digitised for expansion and upgrades.
Quality audit of every customer callSpeech and language AI score every contact-centre conversation and tell coaches where to focus.
Conversational self-careChatbots and virtual assistants that answer customer queries and handle self-service in real time.
Churn prediction and customer 360Intent-based models for acquisition, growth and churn prevention on one source of customer truth.
Managed services24/7 production support, monitoring and a service desk for the data platform.
Results in telecom.
40%reduction in average incident resolution time
Incident automation for 25,000 support emails a month
One of Asia's leading telecom operators
10×increase in the scale of quality audits
AI quality audit for every contact-centre call
A leading Asian telecom operator
2×reduction in data infrastructure and licensing cost
An intelligent data platform for a multinational operator
A multinational telecom operator
One incident touches the network, the ticket queue, the customer and the bill, and we automate the whole path.
Carrier-scale data
We run platforms that ingest around 25 TB a day from more than 50 source systems.Network and care together
The same agents work across alarms, tickets, CRM and billing.24/7 operations
Managed services with monitoring, SLAs and L1 to L3 support once the platform is live.Engineers on site
Forward-deployed teams work inside your network and contact-centre operations and stay until the numbers improve.Talk to a team that has done this in telecom.
A strategist and an engineer will look at how the work runs today and tell you plainly what kind of AI fits, what it takes and what it will return.