Overview
The AI Customer Service Agent project aims to demonstrate different possibilities for augmenting existing processes, as well as showcasing the transformation to AI-driven future of agents that can enhance efficiency, boost customer experience, and cut costs.
Demo
This demo displays the primary functionalities through call with an insurance company. On one side we have the caller, whose voice is transcribed and processed to draw insights. On the other side, we have our AI agent processing the user's speech, and utilizing the insurance company's internal knowledge base to respond to the cusomer's queries.
Functionality Showcase
Supported languages
The app is available in English and Korean. We are working on other languages as per client requests.
Made for both small and large enterprises
The application is designed to showcase capabalities both for API based AI access, as well as local hosting. Local hosting enables on-premises or self-hosted cloud solutions.
Startups and small to medium-sized enterprises aiming for rapid deployment and flexibility, leveraging APIs is often the preferred choice.
On the other hand, larger enterprises with stringent security and compliance requirements, as well as those needing highly customized solutions or dealing with sensitive data, may find the control and customization offered by an on-premises approach more suitable. Additionally, organizations with significant internal infrastructure and resources may opt for on-premises solutions to maximize their investments and maintain full control over their software environment. Ultimately, the decision hinges on factors such as security, customization needs, scalability requirements, and available resources.
Key features:
- Speech to Text (STT)
STT utilizes AI models which enable audio-to-text transcription. This allows transcription for real-time calls or recorded calls recorded in the call center.
- Text to Speech (TTS)
While TTS functionality is what enables the app to respond in a natural human voice back to the user. There are male, female and gender neutral voice options built in.
- Speech understanding and insight extraction
The context intelligence capabilities of the AI Customer Service Agent project enable advanced language understanding tasks, including conversation, summarization, intent analysis, sentiment classification, and entity recognition.
- Integration to internal knowledge base
The AI Customer Service Agent responds to queries based on internal company data and processes, by leveraging Retrieval-Augmented Generation (RAG) and vectorized database technology.
Outcome
The project served as a powerful and exciting glimpse into the future of the Customer Service industry. Clients were amazed by the capabilities, performance, and accuracy shown during presentations. One of my favorite client quotes was, "This is like a tsunami crashing into the customer service industry...".
Get in touch
Mohammed Chakmakchi
AI • Cloud • Full stack • DevOps • DX
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