What if AI didn’t just detect anomalies - but explained them?
As telecom operations become increasingly complex, the ability to move from alert to insight is critical. This article explores how AI assistants are accelerating incident handling today - and unlocking a new approach to knowledge access for tomorrow.
NOC and service assurance teams face complex anomalies that span multiple domains, 3GPP protocols, and vendor-specific behaviors. Understanding what really happened often requires deep protocol expertise and time-consuming analysis of logs, traces, and KPI metadata while the clock is ticking.
At the same time, engineers rely on thousands of pages of equipment manuals, alarm references, user guides, and 3GPP specifications spread across portals and PDFs. Searching for the right section during a live incident slows investigation and increases the risk of inconsistent decisions between shifts and teams.
With an AI Assistant’s vision, you can address both needs. In production today, our anomaly assessment service automatically explains detected anomalies and recommends actions, while in parallel we are developing an AI-Powered Documentation Assistant that lets engineers query complex manuals in plain language.