- Chicago
- Insurance
- 12 Weeks
- B2B
- Python, Angular, Azure, MongoDB, Kubernetes
Project Brief
The primary goal of the project with our dedicated development team was to establish a complete claims control mechanism. This would result in the harmonization of activities, customer service enhancement and quality assurance for a large insurance entity based on Chicago, Illinois.
Client Background
They are a major insurance firm in Chicago, Illinois— recognized widely due to their diverse portfolio that includes health, life and property coverage among others. Their services are available to millions of clients all over United States.
Key Challenges:
Solution:
1. Discovery and Planning
Our dedicated development team thoroughly reviewed the client's existing systems and regulatory requirements. This involves performing stakeholder interviews, system audits, and gathering detailed requirements to identify the project's scope and objectives.
2. Development & Implementation
A dedicated development team comprised backend and frontend developers, QA engineers, and DevOps professionals. Using Agile methodology, the team worked in sprints to develop and integrate different elements of the digital banking platform. Regular feedback loops ensured that the project satisfied both the customer's requirements and regulatory standards.
3. Implementation
Following the end of the development phase, the implementation team took over to integrate the new claims management system into the current infrastructure. This phase required extensive planning to guarantee a seamless transition, which included data migration, system configuration, and user training.
Tools & Technology Used
Python
Programming Language
Angular
Frontend
Azure
Cloud Service
MongoDB
Database
Kubernetes
Containerization
Features:
Claims Processing Automation
The technology connects to current policy management systems to streamline claims processing. This lowers manual labour, accelerates the insurance claim handling process, and reduces human error.
Regulatory Compliance
Automated compliance checks guarantee that insurance rules are met. The system continually analyses and validates claims against regulatory standards, lowering the likelihood of noncompliance and fines.
Advanced Analytics
The platform uses powerful analytics and machine learning algorithms to identify and avoid fraudulent claims. This involves real-time analysis of claims data to detect anomalous trends and probable fraud.
User-friendly Interface
The frontend, built using Angular, delivers a dynamic and intuitive experience for both consumers and staff. Features include real-time claim progress updates, simple navigation, and personalised dashboards.
Scalability
The technology, built on Azure and using a microservices design, can expand to accommodate increasing claim volumes. Kubernetes orchestrates containers, allowing for smooth scaling and efficient resource management.
Regulatory Compliance
Automated compliance checks guarantee that insurance rules are met. The system continually analyses and validates claims against regulatory standards, lowering the likelihood of noncompliance and fines.
Advanced Analytics
The platform uses powerful analytics and machine learning algorithms to identify and avoid fraudulent claims. This involves real-time analysis of claims data to detect anomalous trends and probable fraud.
User-friendly Interface
The frontend, built using Angular, delivers a dynamic and intuitive experience for both consumers and staff. Features include real-time claim progress updates, simple navigation, and personalised dashboards.
Scalability
The technology, built on Azure and using a microservices design, can expand to accommodate increasing claim volumes. Kubernetes orchestrates containers, allowing for smooth scaling and efficient resource management.