AI Customer Support, powered by Telecom-ready APIs
THE INTELLIGENCE AND CONTROL LAYER BETWEEN YOUR NETWORK AND AI – ENABLING ACCURATE, SAFE, AND SCALABLE CUSTOMER SUPPORT
Subtonomy delivers real-time network, device, and subscriber intelligence through APIs built specifically for technical customer support. This ensures AI agents, digital self-service, and frontline teams always act on validated data – not assumptions.
Why AI Customer Support still fails in Telecom
Most AI customer support solutions lack context.
When a customer asks, “Why isn’t my call working?”, traditional chatbots respond with generic guides, because they don’t know:
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the current network state
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the customer’s device configuration
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whether there is an active outage, degradation, or provisioning issue
This results in frustrated customers, unneccessary escalations and rising operational costs.
This is the core data gap in telecom AI.
Most AI vendors connect to CRM systems, but remain blind to the network. Without real-time insight into the network, device, and subscription data, AI can only guess. When facts are missing, generic LLMs hallucinate, and customer effort stays high.
Effective telecom support requires more than conversation. It requires data quality and real-time intelligence.
THE SOLUTION-THE INTELLIGENCE LAYER YOUR AI CAN ACTUALLY TRUST
Telecom-ready APIs for AI Customer Support
Subtonomy delivers telecom-ready APIs that connect live network, device, and subscriber intelligence directly into your AI-powered support ecosystem. This enables grounding every interaction in real-time telecom context, not assumptions. Instead of brittle integrations or incomplete data, operators use Subtonomy as the standardized intelligence API layer between the network and AI, purpose-built for technical customer support.
This enables:
Accurate answers,
first time
Real-time service status replaces hallucinations and generic responses, increasing first-contact resolution and customer trust.
Clear diagnosis,
less friction
Pre-analyzed KPI correlation gives AI immediate root-cause insight, reducing customer effort and repeat contacts.
Instant resolution,
no handoffs
AI moves from explanation to action by checking coverage, provisioning, or roaming and more, in real-time.
Lower customer effort
by design
Predict issues early, prioritize by customer impact, and resolve problems automatically with silent fixes, often before customers need to ask.
From Reactive to Proactive Support
Prevent contacts before they happen
Modern telecom support is no longer about answering faster — it’s about preventing the need to contact support at all. With Subtonomy, operators can:
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detect service degradations before customers notice
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understand customer impact in real time
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trigger proactive notifications or automated fixes
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silently resolve issues without human involvement
The result is lower customer effort, fewer repeat
contacts, and higher trust.
Ways to operationalize network intelligence
SUBTONOMY STRENGTHENS YOUR ENTIRE SUPPORT ECOSYSTEM
AGENTIC AI & LLMs
AI THAT UNDERSTANDS THE NETWORK
Give your AI customer support true technical context. By feeding LLMs trusted, real-time network, device, and customer intelligence, AI can perform multi-step reasoning, explaining complex technical issues clearly, and resolve problems accurately without hallucinations.
DIGITAL SELF-SERVICE
(APP, WEB, IVR)
SELF-SERVICE THAT ACTUALLY RESOLVES ISSUES
Upgrade your digital channels with real-time telecom intelligence instead of static scripts. Inform customers proactively about outages or service degradations, trigger provisioning or configuration fixes automatically, and guide personalized troubleshooting based on live service status. Whether it is an IVR that detects an outage and offers a text update, a mobile app with a real-time “Check my connection” diagnostic, or web self-care that adapts to the customer’s exact situation, every interaction moves closer to resolution.
CSR COPILOT
FASTER RESOLUTIONS, LOWER AVERAGE HANDLING TIME
An internal AI copilot gives agents a natural language interface to access real-time customer status and active service degradations. It supports faster triage and root-cause analysis, helping resolve issues during the first contact.
The copilot complements the agent, enabling confident decisions in complex technical cases while reducing escalations from first to second line.
AGENT DESKTOP
EQUIP 2ND LINE AND EXPERTS WITH DEEP DIAGNOSTICS
Agents receive real-time network service intelligence at the subscriber level, directly inside their existing agent desktop through Subtonomy APIs.
Complex, multi-source telecom data is pre-analyzed and translated into a clear customer service status, automatically populated in the interface. Agents instantly see network condition, device state, correlated root cause, and recommended next best actions, eliminating guesswork and reducing manual investigation time.
Behind the Chat:
Watch the step-by-step guide to our LLM AI solution
FROM COST CENTER TO EXPERIENCE DIFFERENTIATOR
Measurable results for Telecom Operators
Higher First Contact Resolution (FCR)
More issues resolved at the first interaction, by AI or humans.
Lower Customer Effort Score (CES)
Faster, clearer resolutions with fewer repeat contacts.
Reduced AHT and operational costs
Automated diagnostics and pre-processed insigts accelerate resolutions.
Scalable support for 5G and IoT
Handle growing complexity without linear growth in headcount.
MIKAELA KOSKIJEV Business Developer
Telenor Sweden
"This data-driven approach where we are able to look at how network data actually affects customers and respond instantly to this when engaging with the customers is, I think, the way to work."
75%
tech support
cases automated
24/7
resolving tech issues around-the-clock
BJØRN TORE GULLORD Head of Service Assurance
Telia Norway
"We have managed to reduce both the number of complaint calls and the time we need to spend on each call. With Subtonomy, we’re working more efficiently while getting happier customers."
60%
cut in
escalations
47%
reduced average case handling time
TESTIMONIALS
SUBTONOMY BLOG
Frequently Asked Questions: AI & Agentic AI in Telecom
Your Questions, Answered.
We understand that AI in telecom tech support involves complex technical, legal, and security details. To provide clarity, we've gathered straightforward answers to the most common questions about the AI and the Subtonomy platform.
Agentic AI refers to autonomous AI agents that can perform multi-step reasoning and take actions to resolve complex issues without human intervention. The "trap" for telecom operators is attempting to deploy these agents on top of poor-quality or fragmented data. Most AI vendors connect only to CRM systems, leaving the AI "blind" to the actual network state. Without real-time network and device intelligence, even the most advanced AI will hallucinate or fail to resolve technical issues, leading to higher customer frustration and wasted investment.
AI hallucinations occur when an LLM (Large Language Model) lacks the specific facts needed to answer a query and instead "guesses" an answer. Subtonomy prevents this by providing a "Telecom-ready API" layer that grounds the AI in real-time truth. By feeding the AI verified data about the customer's specific network connection, device configuration, and local outages, the AI provides deterministic, fact-based answers instead of generic or incorrect assumptions.
A standard chatbot is typically restricted to knowledge base articles and CRM data, making it useful only for billing or simple policy questions. A "network-aware" AI, powered by Subtonomy, possesses a real-time "technical brain." It understands the current status of the network, detects if a specific cell tower is down, and identifies if a customer’s router has incorrect settings. This enables the AI to move beyond simple conversation to actually diagnosing and resolving technical issues directly within the chat.
As highlighted in our research, the execution gap in telecom AI isn't the choice of LLM (like GPT-4 or Claude), but the underlying data infrastructure. Telecom data is notoriously complex and siloed. To scale autonomous support, operators need a data layer that pre-analyzes and correlates millions of network events into a simple "service status." Without this "clean" data, AI agents cannot make the accurate decisions required for high-stakes telecom support.
With $90 billion spent annually by CSPs on customer experience labor, the potential for ROI is massive. Operators who successfully bridge the data gap and implement network-aware AI report an average 8% improvement in customer satisfaction. Subtonomy helps capture this ROI by automating up to 75% of technical support cases, reducing expensive escalations to second-line support and minimizing "truck rolls" (technician visits) through accurate remote diagnostics.
Yes. Subtonomy is data-source and model-agnostic. We act as the "Intelligence Layer" or "Technical Brain" that sits between your complex backend (OSS/BSS) and your frontend engagement tools. Our APIs can be plugged into any existing AI chatbot, IVR, or CSR Copilot, instantly upgrading them with real-time network intelligence without requiring you to replace your current AI stack.
Ready to Transform? Let's connect
Book a personalized demo to see how Subtonomy can elevate and streamline your customer care operations.
What can you expect?
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A customized demo aligned with your objectives
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Targeted discussions on how to rethink and elevate your customer support with Subtonomy
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Expert guidance on enhancing User & Agent Experience and a seamless service delivery