
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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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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Bevaya
Bevaya is an AI agent platform created for property and casualty insurance organizations that want to automate underwriting, claims, and policy servicing workflows. The platform uses specialized insurance agents to read documents, extract structured information, analyze policy and claim data, recommend actions, and move information into existing systems. Its Submission Intake agent monitors broker inboxes, classifies incoming submissions, extracts data from ACORD forms and supplemental documents, and populates underwriting systems. Loss Run Processing normalizes loss information across carriers, while Policy to Policy Comparison identifies material differences between expiring and renewal coverage. Claims-focused agents can classify and route documents, set up FNOL and FROI workflows, summarize claim information, and prepare materials for adjusters. Policy servicing agents can automate certificate of insurance creation, endorsements, premium audits, and related administrative tasks that would otherwise require manual re-entry. Bevaya is powered by InsurGPT, which the company says is trained on more than 300 million insurance documents and is used across more than 120 production deployments. The platform also includes workflow orchestration, document intelligence, human-in-the-loop controls, grounded explainability, integrations, and governance capabilities for deploying AI in regulated insurance environments. Bevaya is intended for carriers, brokers, and TPAs that want to improve processing speed, reduce repetitive work, and introduce AI agents into existing insurance operations.
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Shift Underwriting Risk
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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