Health Insurance AI Assistant
A private health insurance company aimed to enhance customer service by providing real-time answers to users' questions about coverage, policies, tariffs, and underwriting guidelines. Additionally, they wanted the AI assistant to help identify nearby hospitals and schedule doctor appointments. The goal was to improve customer satisfaction, reduce wait times, and streamline information retrieval.
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Client challenge
The insurance company faced the challenge of managing a high volume of customer inquiries about coverage details, policy specifics, and underwriting guidelines. Traditional customer service methods were time-consuming and resource-intensive, leading to delays in responses and customer dissatisfaction. Additionally, they needed a solution to help users find nearby hospitals and schedule medical appointments efficiently. Ensuring data integrity and GDPR compliance was also critical to maintaining customer trust and meeting regulatory requirements.
Why AI?
- Real-time responses and accurate information led to higher customer satisfaction.
- Customers received immediate answers to their inquiries, reducing the need for long wait times.
- The AI agent handled routine queries, allowing human agents to focus on more complex issues.
- The use of data vectorisation and the RAG pipeline ensured that the information provided was precise and up-to-date.
- The AI solution could handle a large volume of inquiries simultaneously, making it scalable for future growth.
- The AI agent’s ability to identify nearby hospitals and schedule medical appointments added significant value to the customer experience.
- On-premises installation ensured data integrity and GDPR compliance, maintaining customer trust and meeting regulatory requirements.
Trismeg solution
The solution involved data vectorisation, a retrieval-augmented generation (RAG) pipeline, and an advanced AI agent. Trismeg’s platform transformed structured and unstructured data into embeddings, facilitating easy management and retrieval of information, including coverage details, policy information, and underwriting guidelines. The RAG pipeline enabled the AI agent to access real-time, accurate information, providing precise responses to user queries. The AI agent interacted with users, offering real-time answers about coverage, policies, and underwriting guidelines, and could also identify nearby hospitals and schedule doctor appointments. The on-premises deployment ensured data integrity and GDPR compliance, maintaining customer trust and meeting regulatory requirements.
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