In the telecommunications industry, deploying AI voicebots in contact centers is becoming essential for process optimization amid the growth of 5G networks. At the same time, rising global telecom fraud losses, estimated by the CFCA at $41.82 billion, demand stronger security. Implementing AI solutions requires a careful balance between automation and maintaining customer trust.
Opportunities and security risks for operators
AI voicebots can handle a significant portion of routine inquiries, boosting contact center productivity. However, substantial risks also emerge. Subscription fraud costs the industry approximately $5.31 billion annually. The use of legacy signaling protocols (SS7, Diameter) and phishing make voicebots potential targets for bad actors if systems lack proper protection.
Key automation features:
- Handling routine inquiries (tariffs, balance, service status);
- Intelligent call routing to competent agents;
- Collecting initial information before connection;
- 24/7 round-the-clock customer support.
To counter security threats, implementing call authentication mechanisms is critical. The STIR/SHAKEN standard and the use of the Identity header in SIP (according to RFC 8224) form the foundation for verifying the call source.
Architectural integration and data management
A common mistake is attempting to completely clean all corporate data before launching a project. An iterative approach is more effective: focusing on data that directly impacts the selected voicebot use cases (e.g., billing data for balance checks).
Within the telecom ecosystem, the AI voicebot integrates with the following components:
- Contact center platform (ACD and IVR);
- VoIP infrastructure at the SIP protocol level;
- CRM/ERP systems for accessing customer profiles;
- Authentication systems (STIR/SHAKEN, corporate IAM).
Factors for successful implementation
For a successful launch of AI solutions, operators are recommended to start with clearly defined pilot scenarios, ensure a seamless handoff to a live agent (human-in-the-loop), continuously monitor performance, and transparently inform users about their interaction with AI.
Why it matters for the industry
Integrating AI without robust security measures exposes telecom operators to severe financial and reputational damage, accelerating global fraud losses which already stand at $41.82 billion. Vulnerabilities in legacy systems and subscription fraud can undermine customer trust and slow down the adoption of beneficial 5G technologies.
Action plan
- Implement call authentication mechanisms, specifically the STIR/SHAKEN standard and the Identity header in SIP (RFC 8224).
- Adopt an iterative data cleaning strategy, focusing first on data directly relevant to active voicebot use cases.
- Ensure tight integration of the voicebot with CRM/ERP, VoIP infrastructure, and corporate IAM systems.
- Launch with clearly defined pilot scenarios, maintain a human-in-the-loop handoff, and remain transparent with users about AI usage of AI.
Prepared by a Software Ukraine member. Original publication.