Compare Genasys vs. Macaw AMS

Genasys is a modern cloud-based, end-to-end insurance administration platform crafted to enhance agility, connectivity, and operational effectiveness. With an open architecture featuring over 450 API endpoints, it effortlessly integrates with external systems, creating a unified source of truth for policies, claims, and billing. This platform equips insurers, managing general agents, and brokers with the ability to configure without coding, automate workflows, and utilize powerful reporting capabilities. It facilitates swift product introductions and accommodates intricate operational structures, all while maintaining compliance, traceability, and a focus on customer experience. Furthermore, Genasys stands out by allowing users to tailor the system to their specific needs, ensuring that they can adapt to evolving industry demands.

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%.