AI-Powered Voice Calling Agent Platform for Industry-Agnostic Customer Engagement and Support
DOI:
https://doi.org/10.47392/IRJAEH.2026.0076Keywords:
AI Voice Agent, Retrieval-Augmented Generation, Large Language Models, Plug-and-Play Voice Assistant, Contextual IntelligenceAbstract
Conventional customer interaction and support processes have long been depending heavily on human customer service representatives or cumbersome Interactive Voice Response (IVR) technology. This has led to inefficient timelines for response and poor service quality and scalability in these domains like marketing, medical, banking and government. In order to mitigate these problems and provide a comprehensive solution to customers and service providers alike, this paper proposes Talksy a plug-and-play AI voice calling agent that is completely domain-independent and works on automated inbound and outbound calls based on context-aware AI.The solution would comprise use cases involving Twilio Telephony Services and Groq's large pre-trained models for efficient inference and task completion. In this solution, customer service processes like lead qualification and follow-up reporting would be conducted automatically by Talksy without human intervention. Analysis and studies have shown that this system not only dynamically provides positive results and effectiveness in customer service and human dependency reduction but is also scalable.
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