Avaya
AI Voice Assistant
for Customer
Service
Build AI Voice use cases for Avaya Aura / Elite, ACCS, Avaya CM and Avaya IP Office.
On-Premises or in the Cloud.
Automate Repetitive Tasks with full data privacy.
Integrate CRM for personalized customer experience.
AI Post-Call Surveys, Product Support, Out of Hours Coverage.
Why Leaders Choose Comstice AI Voice Assistant
Built-In STT and TTS
Speech to Text and Text to Speech out of the box.
On-Premises Option
Run voice assistant with full data privacy on your private network.
Transfer to Live Agent
SIP REFER Transfer to a live agent for human intervention.
Out of Hours Coverage
AI Voice Assistants work 24 by 7, every day.
Telephony Integration
SIP Trunk with Avaya Session Manager
Multi-Language Support
Multiple languages and accents for speech to text and text to speech.
Use Cases for AI Voice Assistant
IVR Replacement
Replace legacy IVR such s Nuance and Lumen Vox with AI-Based dynamic IVR with built-in speech to text and text to speech.
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Product Support
Conversational product usage helpline, with natural language processing voice assistant for customer onboarding, and troubleshooting.
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Post-Call Surveys
Interactive post-call surveys for more detailed customer feedback with recommendations.
Learn More
Three Levels of AI Voice Assistant
- IVR Replacement: "Connect me to Finance department" or "Online Sales Support"
- Canned Questions:"What is my renewal date?" or "Where is my parcel? Reference number: TA09230923"
- Long Conversations: "I have this dishwasher model G092 T. Top shelf is not cleaning as expected. What should I check?"
Levels 1 and 2 can be handled using local CPU resources. Level 3 usually handles complex tasks and may require LLM service subscriptions such as ChatGPT or Claude.
Otherwise, local or cloud GPUs will be used to train and run the LLMs.
Fine Tuning LLMs
Fine turning is the process of training generic large language models using knowledge base articles, and customer call transcripts from your call recordings and pdf documents available.
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Click here to learn more about how Comstice Call Recording can
create and process the call
transcripts of the recorded customer calls and creates knowledge base articles
automatically.
LiveKit SIP Integration
LiveKit is an open-source WebRTC framework to create your own AI agent scenarios.
Comstice AI Voice Assistant can integrate with LiveKit via SIP so you can create your own agents.
LiveKit is an optional component. There is no additional cost of integrating LiveKit into the solution and run it offline.
Preferred By
Download Data Sheet for Features, Architecture, and Project Plan
Get all the details about Comstice AI Voice Assistant Implementation and AI Use Cases, including features, comparison with the alternatives, architecture, server specifications and the sample project plan.
DownloadOur Partners
Learn more about how Comstice transforms the way businesses communicate with their customers.
Avaya AI Voice Assistant FAQ
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What is the license model for Comstice AI Voice Assistant?
AI Voice Assistant licensing is based on the number of concurrent calls handled as well as the LLM training and fine tuning costs.
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What is the license model for LiveKit?
LiveKit is licensed under Apache license. The Apache License is a permissive open-source software license that grants users broad rights to use, modify, distribute, and sublicense software. It allows users to integrate the code into proprietary software and distribute it under a different license. The Apache License, developed by the Apache Software Foundation, permits use of the software for any purpose, including commercial use. It grants rights to both copyrights and patents, unlike some other permissive licenses that only apply to copyrights.
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Can we create our own AI Modules?
You can create AI voice agents and integrate with your LiveKit instance. LiveKit offers many examples and best practices for AI Voice Assistant use cases.
Also, the maintenance and improvement of these AI modules will be your responsibility.
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Do I need any Avaya licenses?
No. AI Voice Assistant integrates with Avaya Session Manager using a SIP Trunk.
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When do we need GPUs?
In the Level 3 of the AI Voice Assistant use cases. When there is a long conversation and context needs to be stored and remembered by the service. You can use on-premises GPUs or cloud GPUs such as RunPod and Amazon Bedrock.
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Can I run this in AWS or Google Cloud?
Yes Comstice AI Voice Assistant runs on Docker, Openshift and Kubernetes. You can run it in any cloud environment that supports LinuxVM and/or Docker.

