From legacy FAQ chatbots to diagnostic experts
Stop building chatbots that just say "Have you tried restarting your router?"
LEGACY FAQ CHATBOT
Error: context not found
The legacy FAQ chatbot
When an FWA customer experiences a slow connection, a legacy FAQ chatbot blindly tells them to restart their router. This creates frustration and leads to expensive human escalations.
#MCP
#A2A
NETWORK-AWARE DIAGNOSTICS AI
The diagnostic expert
Fed via our APIs, your AI knows instantly if there’s a cell outage, a firmware issue, or an FWA degradation. Zero-touch resolution, zero hallucinations.
#LLM
THE INTELLIGENCE ENGINE
Don’t feed your AI with raw logs. Feed it the pre-analyzed truth.
Telecom networks generate millions of fragmented data points every second. Dumping raw OSS/BSS logs directly into an LLM causes massive latency, cloud costs, and hallucinations. Subtonomy’s Data Platform & Support Engine sits in between, ingesting the chaos and serving your AI a clean, deterministic Service Status in milliseconds.
Deterministic accuracy
Your AI doesn't need to guess or correlate. Our APIs deliver a definitive, factual root cause for every specific customer, whether it's an active mast outage, a degraded FWA cell, or an outdated router firmware.
Millisecond latency
Conversational AI requires real-time speed. Our engine correlates complex network data in the background, ensuring your chatbots and voicebots can retrieve the exact technical context instantly, without awkward pauses.
Customer-level context
We don't just provide generic network status. We fuse network telemetry with device and subscription data to give your AI a 360-degree technical view of the exact customer it’s talking to.
THE AI TELECOM SOLUTION-AGNOSTIC INTEGRATION
Bring your own AI. We’ll supply the truth.
Your AI strategy is unique to your business. That’s why Subtonomy is agnostic by design. Whether you are building autonomous agents using the latest LLM frameworks, upgrading legacy self-service apps, or designing complex machine-to-machine automations, our APIs give you the freedom to choose your path.
Regardless of the framework you choose, we deliver the exact same payload: pre-analyzed, deterministic network truth. Give your AI the context it needs to stop guessing and start resolving.
Model Context Protocol (MCP)
Future-proof your Agentic AI.
Empower advanced LLMs to dynamically fetch real-time telecom context. Give your autonomous agents the tools they need to diagnose network faults securely and instantly.
Agent-to-Agent
(A2A)
Orchestrate multi-agent workflows.
Enable customer-facing support bots to query a dedicated network agent powered by Subtonomy service status APIs. Let your AI agents collaborate, verify facts, and resolve issues silently behind the scenes.
Conversational AI
& Chatbots
Turn legacy bots into experts.
Plug our APIs directly into your existing conversational platforms. Transform generic chatbots and IVRs into network-aware experts that confidently resolve FWA, mobile, and data issues.
Self-Service
Channels
Zero-touch resolution.
Feed proactive service status and guided troubleshooting directly into apps, IVRs, and web portals. Solve the problem before the customer even types.
BEHIND THE CHAT
Watch the APIs in action
See how an LLM dynamically calls real-time network status from the Subtonomy APIs to diagnose a technical issue instantly, ensuring complete accuracy without hallucinations.
FROM COST CENTER TO EXPERIENCE DIFFERENTIATOR
Measurable results for Telecom Operators
Maximized AI containment & FCR
By giving your AI the right answers, more issues are resolved autonomously without ever reaching a human agent.
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
CUSTOMER 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