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Revolutionizing InsureTech Customer Service: Leveraging AI-Driven IVR for Seamless Support Automation
A leading company in the InsureTech domain, this organization specializes in providing innovative solutions to enhance customer support and operational efficiency. They focus on leveraging advanced technologies to streamline processes and improve customer interactions. Known for their commitment to quality and customer satisfaction, the company serves a diverse clientele in the insurance sector.
Resource-Intensive Integrations: Building and maintaining point-to-point integrations for each client was time-consuming and required significant resources.
Lengthy Integration Time: Integrating with third-party ERPs and payment systems took 8-12 weeks per client.
Limited Scalability: The existing process constrained the ability to serve multiple clients simultaneously.
Need for a Scalable Solution: A scalable, reusable integration framework was required to speed up the onboarding process for new clients.
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API-Based Integration Gateway: Implemented an API-based Integration Gateway using AWS services like Amazon API Gateway, AWS Lambda, and others for streamlined integration.
Solution Architecture & Deployment: Developed a four-component architecture (Flow, Filter, Transformer, Adopter) and built a deployment diagram to manage and transform inputs for various ERP systems, ensuring seamless integration.
Automated CI/CD & Ongoing Support: Established automated CI/CD pipelines for continuous integration and deployment, reducing manual intervention and errors, and provided ongoing support to maintain system robustness and scalability.
Automated IVR processes, significantly reducing manual intervention and operational costs while improving accuracy and efficiency in interactions.
Enabled faster, more reliable IVR task processing, boosting customer satisfaction and allowing agents to handle more complex interactions efficiently.
Provided detailed call records and summaries for review, ensuring regulatory compliance and supporting further analysis of IVR interactions
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