About Our Client
A mid-sized insurance company based in the Midwest USA sought to revamp its claims processing system to address inefficiencies and improve customer satisfaction.
The existing system was outdated, resulting in:
- Long processing times
- High error rates
- Customer dissatisfaction
The client required a modern solution to automate and streamline their claims process.
Tarams developed an automated claims processing system leveraging advanced AI and machine learning technologies. Key features included
Automated data extraction from claims documents using OCR and AI.
Streamlined claim approval workflows with rule-based processing.
Integrated machine learning algorithms to detect and flag potentially fraudulent claims.
A user-friendly online portal for customers to submit and track claims in real time.
Through the implementation of these solutions:
Claims processing time was cut by 50%, enhancing customer satisfaction.
Automated data extraction and rule-based processing significantly reduced errors.
Early detection of fraudulent claims minimized financial losses.
The customer portal provided transparency and improved communication, leading to higher customer retention rates
Tarams’ development of an advanced automated claims processing system transformed the client’s operations, delivering efficiency and accuracy improvements while enhancing customer satisfaction. By integrating cutting-edge AI technologies, Tarams empowered the client to streamline their claims process and achieve significant operational gains.
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