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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in April 2026 (Volume 19, Issue 1) Submit manuscript

Real-time LLM-driven telephony conversational agent for healthcare insurance workflows

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Sudharson D 1, Shruthi P 1, *, Afsheen Zaahrah A 2, Tejaswini SS 2 and Karthick A 2

1 Head of Department, Department of AI and DS, Kumaraguru College of Technology, Tamil Nadu, India.

2 Department of AI and DS, Kumaraguru College of Technology, Tamil Nadu, India.

Research Article

International Journal of Science and Research Archive, 2026, 19(01), 414-422

Article DOI: 10.30574/ijsra.2026.19.1.0687

DOI url: https://doi.org/10.30574/ijsra.2026.19.1.0687

Received on 27 February 2026; revised on 06 April 2026; accepted on 08 April 2026

This research paper gives a voice bot for healthcare domain which utilizes the pipe cat framework for agent orchestration along with Twilio for calling provider / configuration for telephony that encapsulates STT, for conversation management LLM, TTS layer for the conversational AI in real time, state management. At the media layer, stands the Livekit WebRTC for reduced latency and the streaming of audio in bidirectional that achieves about sub 500 ms with an end-to-end response time through SIP trunking.
and Twilio programmable voice API. This bridges the legacy PSTN along with cloud native telephone configuration to optimize the workflow of clinical and the engagement of patients.

Conversational AI; Healthcare Communication; Telephony Systems; Large Language Models (LLM); Speech Recognition; Dialogue Management

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-0687.pdf

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Sudharson D, Shruthi P, Afsheen Zaahrah A, Tejaswini SS and Karthick A. Real-time LLM-driven telephony conversational agent for healthcare insurance workflows.International Journal of Science and Research Archive, 2026, 19(01), 414-422. Article DOI: https://doi.org/10.30574/ijsra.2026.19.1.0687.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

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