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Announcing Voicegain Casey, a Generative AI Voice Agent for Health Plan and TPA Call Centers

Arun Santhebennur

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min read

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April 17, 2025

Voicegain is excited to announce the launch of Voicegain Casey, a payer focused AI Voice Agent that transforms the end-to-end call center experience with the power of generative AI. Voicegain Casey is a software suite of the following three Voice AI SaaS applications that helps a health plan or TPA call center improve operational efficiency and increase the CSAT and NPS (Net Promoter Score):

A. Voicegain Casey - Suite of Generative AI-Powered SaaS Applications

1. AI Voice Agent:

The AI Voice Agent replaces a touch-tone IVR with a modern LLM-powered human-like conversational voice experience. The AI Voice Agent can answer all calls that are received at a Health Plan or TPA Call center. It engages callers in a natural conversation and automates routine telephone calls like Claims Status, benefits inquiries and eligibility verifications. There is a very compelling business case to automate Provider phone calls in Health Plan and TPA call centers. Voicegain Casey has been specifically designed and developed for this goal. The AI Voice Assistant is also trained to perform HIPAA Validation and triaging of calls. So if the AI has not been trained to answer a specific question, it routes the call to the call center for live assistance.

2. CCaaS Integrated AI Co-Pilot :

Voicegain AI Co-Pilot is a browser extension that runs as a browser side-panel of Call Center Agent's CRM. This Co-Pilot is integrated with the Contact Center/CCaaS platform used in the Call Center. When a call transferred by the AI Voice Agent is eventually answered by a Live Agent, all the information collected by the AI Voice Assistant is presented as a "Screen-Pop" on the Desktop of the Live Agent (also referred to as CTI). This CTI/Screen pop feature ensures that the front-line call center staff can continue the conversation from where the AI Voice Agent left off. In addition to this Screen-Pop, the AI Co-Pilot also guides the front-line call center staff in real-time by listening, transcribing and analyzing the conversation and providing real-time guidance . The AI Co-Pilot also generates a summary of the conversation within five seconds of the completion of the call. This automated summarization easily saves 1-2 mins of wrap-up time or after call work which is very common in these health plan and TPA call centers.

3. AI QA & Coach:

Voicegain AI QA & Coach is a browser-based AI SaaS application that is used by Team-leaders, QA Call Coaches/Analysts and Operations Managers in a call center. This AI SaaS app records, transcribes and analyzes the entire conversation. It measure the sentiment of the callers and computes the QA score. Voicegain uses the latest open-source reasoning LLMs (like LLAMA 3, Gemma) and closed-source reasoning models like o-3 from Open AI. With the power of modern reasoning models, almost the entire QA score-card (approximately 80% of the questions) can be easily answered using AI. This SaaS App also provides a database of all whole-call-recordings of the entire conversation of the customer - which includes the AI Voice Assistant part, the transfer to the specific Call Center queue and eventually the entire conversation between the Live Agent and the Caller.

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B. Integrations

Voicegain Casey requires the following 3 key integrations to help with automation and real-time assistance.

1. Contact Center Platform/CCaaS Platform

Voicegain Casey integrates with modern CCaaS platforms. Current Integrations include Aircall, Five9 and Genesys Cloud. Planned integrations include Ringcentral, NICE CXOne and Dialpad.

2. CRM Software

Voicegain Casey integrates with the CRM software of the Health plan or the TPA. This can be an off-the-shelf CRM like Zendesk or Salesforce. It can also be a proprietary/homegrown CRM. As long as the CRM is a browser-based SaaS application, this should not be an issue. Voicegain Casey AI Co-Pilot is a browser-extension that is installed in the side-panel of the same browser tab as the CRM. At the end of the call, the summary of the call is automatically generated and available on the browser extension within 5 seconds of the end of the call.

3. Eligibility & Claims

Voicegain Casey needs access to the member eligibility and claims data.

C. Demo and Additional Information

For further information on Voicegain Casey, including a demo, please visit this link

D. Give us a shout!

If you would like to understand Voicegain Casey in more detail or if you would prefer a detailed product demo over a Zoom video call, please do not hesitate to send us an email. You can reach us at sales@voicegain.ai or support@voicegain.ai

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Announcement

Voicegain Story

Jacek Jarmulak

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min read

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August 27, 2019

The team behind VoiceGain has more than 12 years experience of using Automated Speech Recognition in real wold - developing and hosting complete IVR systems for large enterprises.

We started of as Resolvity, Inc., back in 2005. We built our own IVR Dialog platform, utilizing AI to guide the dialog and to improve the recognition results from commercial ASR engines.

Resolvity Dialog Platform

The Resolvity Dialog platform, had some advanced AI modules. For example:

It had ontology that could be used to model Dialog Domain . This ontology then could be used to automatically drive the dialog. It would automatically generate follow up questions based on the information that was already acquired. We used this often in IVR applications that required recognition of product names.
It had an Incremental Case-Based Reasoning (CBR) troubleshooting engine which together with Ontology could be used to diagnose technical problems based on presented symptoms.
It had a module to correct systematic errors of the ASR engine to improve the accuracy (we received a US Patent for this)
It had an NLCR module that could automatically handle "How may I help you?" type of interactions. It used a combination on Ontology, Bayesian and Neural Network classifiers.

Hosted IVR

Starting from 2007 we were building complete IVR applications for Customer Support and hosting them on our servers in data centers. We build a Customer Solutions team that interacted with our customers ensuring that the IVR applications were always up to date and an Operations team that ensured that we ran the IVRs 24/7 with very high SLAs.

Resolvity Dialog Platform had a set of tools available that allowed us to analyze speech recognition accuracy in high detail and also allowed us to tune various ASR parameters (thresholds, grammars).

Moreover, because that platform was ASR-engine agnostic, we were able to see how a number of ASR engines from various brands performed in real life.

VoiceGain 1.0 Cloud PBX

In 2012-2013 Resolvity built a complete low-cost Cloud PBX platform on top of Open Source projects. We launched it for the India market under the brand name VoiceGain. The platform was providing complete end-to-end PBX+IVR functionality.

The version that we used in prod supported only DTMF, but we also had a functional ASR version. However, at that time it was built using conventional ASR technologies (GMM+HMM) and we found that training it for new languages presented quite a bit of challenges.

VoiceGain was growing quite fast. We had presence in data centers in Bangalore and Mumbai. We were able to provision both landline and mobile numbers for our PBX+IVR customers. Eventually, although our technology was performing quite well, we found it expensive to run a very hands-on business in India from the USA and sold our India operations.

Augmented Recognition

When the combination of hardware and AI developments made Deep Neural Networks possible, we decided to start working on our own DNN Speech Recognizer, initially with the goal to augment the results from the ASR engines that we used in our IVRs. Very quickly we noticed that with our new customized ASR used for IVR tasks we could achieve results better than with the commercial ASRs. We were able to confirm this by running comparison tests across data sets containing thousands of examples. The key to higher accuracy was ability to customize the ASR Acoustic Models to the specific IVR domain and user population.

Own ASR Platform

Great results with augmented recognition lead us to launch a full scale effort to build a complete ASR platform, again under Voicegain (.ai) brand name, that would allow for easy model customization and be easy to use in IVR applications.

From our IVR experience we knew that large enterprise IVR users are (a) very price sensitive plus (b) require tight security compliance, that is why from day 1 we also worked on making the Voicegain platform deployable on the Edge.