Telecommunication

AI That Protects Telecom Revenues

goal

Challenge Faced

Telecom operators face fraud in SIM swaps, fake accounts, billing manipulation, and roaming charges. Traditional fraud detection is manual, delayed, and costly.

solution

Our Solution

We implemented AI fraud detection systems that scan transactions and network behavior in real-time to flag anomalies.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Monitor usage patterns, call records, and billing transactions.

Step 2

AI models detect unusual activities (location mismatch, duplicate SIM usage, bill anomalies).

Step 3

Flag or block suspicious activity in real time.

Step 4

Update fraud models continuously with new cases.

Quantifiable Benefits

Reduction in fraud losses
%
Faster fraud detection
0 %
Fewer false positives
%

Who’s Using This

fewer false positives

Innovation 1

AT&T billing anomaly AI

Innovation-2

Telefónica AI-based fraud prevention

Private Surgical Training Institutes

Why It Matters

AI strengthens security, saves costs, and builds customer trust in telecom services.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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