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%.
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Functional Finance
Functional Finance serves as the engine for insurance billing and payments, managing the flow of money once a policy decision is finalized. Positioned between the policy management system and the general ledger, it processes policy events such as bindings, endorsements, cancellations, and reinstatements, executing the corresponding financial commitments with precision. The system adeptly oversees billing, invoicing, payment collection, cash application, treasury routing, and the payables for distribution partners, accommodating various models like agency bill, direct bill, installments, and premium financing. Payments are systematically applied at both the policy and line-item levels, ensuring that commissions and remittances remain aligned while maintaining an auditable trail for every transaction. Consequently, this results in a financial operations system that is aware of policy details, replacing the need for manual reconciliation with streamlined and scalable processes that enhance operational efficiency. Ultimately, the integration of these functionalities fosters a more reliable and transparent financial environment within the insurance sector.
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