Telecommunications

Wholesale telecom fraud costs the industry tens of billions each year, and rule-based systems remain the standard defense. But fixed thresholds miss anomalies that sit just inside the boundary, and when a rule does fire, it offers no explanation, leaving an analyst to inspect the underlying traffic by hand before reaching a verdict.

A Time Series Language Model reads the raw call-detail signals directly: call volumes, durations, unanswered calls, revenue and cost across the recent window. It describes what is unusual in the pattern, distinguishes genuine fraud from atypical but legitimate traffic, relates it to known fraud signatures, and produces a clear Fraud or No-Fraud verdict preceded by the reasoning that supports it.

The verdict and its rationale appear as a second opinion inside the analyst’s existing review interface, next to the rule-based alert, for the analyst to confirm rather than replacing their judgment. Because every verdict comes with an explanation, senior analysts review faster and junior analysts reach sound decisions sooner, turning a manual inspection step into a reviewable, explainable one.