The portal empowers insurers to manage claims intimation and recoveries with greater precision and transparency.
Addenda MIRSAAS is a robust and user-friendly platform designed to enhance the efficiency and accuracy of motor insurance operations. By automating key processes, facilitating seamless collaboration, and providing real-time insights. The portal empowers insurers to manage claims and recoveries with greater precision and transparency. Its intuitive interface and advanced capabilities reduce manual effort, improve turnaround times, and ensure compliance with industry standards, ultimately delivering a streamlined experience for stakeholders while driving operational excellence.
Enables users to submit claim requests easily and facilitates a structured approval process to ensure quick and accurate decision-making. Automates the initiation and approval of recovery requests, ensuring seamless communication and efficient processing for claim recoveries.
Document Intelligence is an AI-powered document reader that uses Natural Language Processing (NLP) to accurately extract and interpret phrases from various document types, such as registration cards, driving licenses, IDs, and accident reports, across multiple formats. It eliminates manual data entry and supports translation into multiple languages,
Manages the entire lifecycle of car salvage, from identification to disposal, with integrated approval workflows to maximize recovery value.
Allows handling multiple orders or transactions simultaneously, improving efficiency and reducing processing time for high-volume operations.
Provides capability for external insurance companies to handle shared claims and recoveries effectively.
Sends timely notifications and follow-ups to stakeholders during subrogation process, ensuring important deadlines and actions are not missed.
Simplifies the approval of credit notes, streamlining financial adjustments and ensuring accountability.
Offers real-time dashboards and customizable reports, providing insights into key metrics and helping in data-driven decision-making.
