Macaw AMS vs. AUSIS

Macaw AMS serves as a robust platform for selling insurance, utilized by brokers, MGAs, MGUs, Program Managers, and Lloyds Coverholders to streamline their business processes effectively. Designed with a focus on customer needs, it encompasses functionalities for CRM, Sales, and Underwriting, providing customers, producers, and service providers with access to user-friendly self-service portals. Additionally, Macaw AMS includes integrated Document Management and Task Management features, along with adaptors for seamless services such as eSignature, Payments, OFAC checks, and Mass Emailing, utilizing third-party solutions. The data analytics capabilities of Macaw AMS deliver advanced data visualization through predefined dashboards, enabling users to upload datasets and explore dynamic charts that offer insightful, multi-dimensional perspectives. With interactive, real-time visualizations, users can identify trends and derive insights that promote well-informed decision-making. Hosted on a secure cloud infrastructure, Macaw AMS is built on a relational database, with its primary Java-based components crafted in Java, allowing for efficient processing of 500-1000 policies daily at peak performance. As a notable benefit, Macaw AMS aims to decrease the per-policy costs by 30%, making it an attractive choice for insurance professionals looking to optimize operations. Ultimately, its comprehensive features and cost-saving potential position Macaw AMS as a transformative solution in the insurance industry.

AUSIS – Comprehensive Behavioral Underwriting AUSIS equips insurance providers with the ability to perform in-depth underwriting, scoring, and decision-making almost instantaneously. By implementing AUSIS, companies can significantly lower their expenses, time requirements, risk exposure, and instances of fraud, all while enhancing efficiency and decision-making through innovative alternative scoring techniques and added functionalities. Additionally, AUSIS improves the straight-through processing (STP) rate as compared to non-straight-through processing (NSTP) and facilitates non-invasive health data gathering from a multitude of sources, including air quality indexes (AQI), geographic locations, mortality rates, social determinants, multimedia content, health monitoring devices, weather patterns, sanitation conditions, and beyond. As a result of using AUSIS, insurance organizations may see up to a 40% reduction in costs tied to policy issuance. This groundbreaking solution not only optimizes the underwriting workflow but also offers critical insights that can enhance risk assessment and management strategies. The integration of such comprehensive data enhances the overall effectiveness of the insurance process.