We don't sell generic AI to telco operators. We've deployed it inside live Nokia infrastructure, Nokia/Telia networks, and enterprise contact centers — and we know exactly where generic solutions break. Atsky is built around the failure points others ignore.
Average handling time, agent attrition, and escalation rates are rising simultaneously. IVR deflection doesn't work. Generic chatbots fail on telco-specific queries. The math demands autonomous AI agents — but most solutions can't handle the conversation complexity.
Thousands of daily alerts from network elements. Senior engineers manually triaging noise instead of solving real problems. Root cause analysis taking hours. The cognitive load on NOC teams is at breaking point — and headcount can't scale to fix it.
From 2026, EU operators deploying AI systems face regulatory requirements around explainability, human oversight, and audit trails. Most current AI vendors were designed for the US market. Operators need EU-native solutions — before enforcement deadlines hit.
Autonomous voice agents that handle subscriber enquiries end-to-end — billing, service activation, fault reporting, and plan changes — without human intervention on routine cases. Sub-200ms response. Escalation to human agents when context requires it.
ML pipeline that ingests raw event streams from your network elements, filters noise, correlates events across layers, and generates root cause analysis automatically. Integrated with BMC Helix, ServiceNow, or your ITSM of choice. Nokia infrastructure domain expertise built in.
AI-powered intent classification that routes calls before the first human word is spoken — matching caller intent to the right agent, queue, or fully automated resolution path. Trained on your call taxonomy, not generic templates.
Time-series ML models that detect infrastructure anomalies before they surface as customer-impacting incidents. Proactive capacity forecasting aligned with demand patterns from your subscriber base and network topology.
A European telco operator running Nokia-managed network infrastructure faced unsustainable NOC alert volumes — thousands of daily events requiring manual triage by senior engineers.
Atsky architected and deployed a Situation Enrichment Pipeline on Kubernetes: multi-layer ML classification for noise filtering, automated RCA generation, and integration with the client's BMC Helix ITSM platform. Full MLOps framework for continuous model improvement.
This is not a case study from a friendly pilot — it's a production deployment measured against live NOC operations.
View all case studies →"They've successfully transformed the way we operate. They not only understood our complex requirements but also delivered results that exceeded our expectations."
We integrate with the OSS/BSS, ITSM, and network management platforms already in your environment — not a rip-and-replace.