
Private and hard money lenders across the US and Canada use Mortgage Automator to run their lending business without stitching together spreadsheets, email, and separate tools. The cloud-based platform covers the full loan process, from application and underwriting to document generation, servicing, renewals, and fund management.
Lenders handling residential, commercial, or construction loans can rely on the platform to track payments, calculate interest, and disburse funds automatically, while commitment letters, loan agreements, and discharge documents are generated in seconds rather than drafted by hand. A built-in CRM keeps deals organized and moving through the pipeline, and dedicated portals give borrowers, brokers, and investors secure, real-time access to their statements.
Because workflows adjust to loan type and deal volume, lending teams can scale up without adding proportional admin work. Mortgage Automator also connects with tools like Zapier, QuickBooks, and major credit bureaus, so it fits into an existing tech stack rather than replacing it.
New customers get hands-on onboarding and ongoing support, helping lending teams get value from the platform quickly and keep growing without getting buried in manual processes.
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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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s.360
s360 is the ultimate life underwriting platform that you will ever require. It serves as a comprehensive underwriting workspace seamlessly linked to automated underwriting processes, predictive analytics, telephonic and video interviews, expedited underwriting, and API-connected paramedical exam report gathering, allowing you to maintain full oversight of your case workflow while functioning smoothly and independently. Gain profound insights into underwriting as the platform is built with a strong emphasis on data. It adeptly converts your medical unstructured data into organized, actionable insights. With a wide array of risk assessment tools at your disposal—including predictive models, interviews, automated underwriting, accelerated UDW, lab tests, and detailed underwriting manuals—this platform offers an impressive suite of features to enhance your underwriting experience. Its ability to integrate various data sources makes it a powerful tool for informed decision-making in life underwriting.
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Shift Technology’s Underwriting Risk Detection, an AI-driven SaaS platform, assists insurance companies in refining their underwriting processes by pinpointing instances of fraud, misrepresentation, premium leakage, and network-related risks throughout policy applications. By employing advanced predictive models and anomaly detection techniques, it scrutinizes quotes and applications, tracks alterations after binding and during renewals, and identifies threats such as identity fraud, agent collusion, ghost broking, policy hijacking, and tampering with documents or photos. The platform seamlessly integrates various external data sources, delivers real-time alerts, and offers underwriters comprehensible outputs that include contextual decision-making insights. Additionally, it facilitates continuous learning, allowing the system to evolve as new risk trends arise. Its design aims to expedite the underwriting process, enhance pricing precision, safeguard policyholders, mitigate losses, and empower organizations to expand their portfolios with greater confidence by detecting risky behaviors at an early stage. Overall, this innovative solution represents a significant advancement in the insurance industry's approach to risk management.
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