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
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
AT&T billing anomaly AI
Telefónica AI-based fraud prevention
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.