Compare Macaw AMS vs. Polygonal

Macaw AMS can be used to sell Insurance. Macaw AMS can be used by brokers, MGAs or MGUs, Program Managers, and Lloyds Coverholders to automate their operations. Macaw AMS was built with a customer-centric approach. It supports CRM, Sales and Underwriting. Customers, producers, and service providers can access self-service portals. Macaw AMS has built-in Document Management and Task Management capabilities. It is equipped with adaptors that allow for integrated and in-flow services such as eSignature, Payments, OFAC checks, Mass Emailing, Computer Telephony, and Mass Emailing, using 3rd Party Services. The data analytics part of Macaw AMS offers powerful data visualization with predefined dashboards, allowing users to easily upload datasets and view dynamic charts for clear, multi-dimensional insights. Interactive, real-time visualizations help uncover trends and insights, driving informed decision-making. Macaw AMS is hosted on cloud and tested for cybersecurity. The database is relational, and the core components of the Java-based application are written in Java. Macaw AMS is capable of processing 500-1000 policies per day at its peak. Macaw AMS is expected reduce per policy costs by 30%.

Polygonal enhances previous versions' robust capabilities by integrating cutting-edge Microsoft VB.Net and Business Intelligence technologies, offering a holistic solution that swiftly adapts to today’s ever-changing market demands. This software is a modular, multi-currency platform for underwriting and policy/claims administration, seamlessly incorporating transactions, reinsurance, accounting, messaging, data warehouse reporting, document management, and workflow modules to deliver a comprehensive end-to-end business process with measurable outcomes. Developed with a focus on business needs by the expert team at City Computers, Polygonal benefits from years of experience in the insurance sector, combining practical insights with innovative solutions. As a result, users can expect not only efficiency but also enhanced decision-making capabilities through integrated analytics.