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05.06.2024

QKS Insight

Promoting a Transformative Automation Approach towards Life Insurance Underwriting - Strategic Partnership between ReleasePoint and Appian

Author:

Apoorva Dawalbhakta

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Background -

Appian recently announced a strategically relevant partnership with ReleasePoint, a key provider of medical records and relevant information solutions for the insurance industry. This collaboration integrates ReleasePoint's solution with Appian's Connected Underwriting Workbench for Life Insurance (CUWLI), enhancing and upgrading the overall underwriting processes for insurers. Essentially, the CUWLI is a prebuilt, and effectively streamlined solution on the existing Appian Platform, which is strategically designed for unifying the data-sets, and for automating the existing workflows appropriately. Its data fabric capabilities enable swift data migration and integration connectivity, while its AI-led automation further supports change management, ultimately optimizing the overall underwriting processes.

It should be noted that, Appian's advanced AI architecture (including its robust generative AI capabilities) allows insurers for - scaling up the content processing activity, and for conveniently automating the repetitive tasks like email classification and data extraction from documents. Resultant, this could enhance Appian’s competitiveness, improving the overall underwriting experience by facilitating faster benefit realization. By offering - precise data extraction from various sources, 24/7 sustained and real-time monitoring, seamless integration with majority third-party tools, and a robust augmented decision-making capability with an end-to-end enabled audit trail, the CUWLI ensures robust quality, and overall procedural adherence of the user cases under consideration.

Furthermore, ReleasePoint brings along with them decades of expertise in the medical record retrieval and transformation services. Known for their efficiency in managing medical records and electronic health records (EHR), ReleasePoint's flagship and renowned MIDAS technology and service solution is used by a plethora of industries in North America for providing a comprehensive, reliable, and data-driven review of an applicant's health history.

Analysis –

The integration of MIDAS within Appian's CUWLI represents a significant advancement, combining human expertise with artificial intelligence (AI) to streamline the underwriting process, marking a decisive and pivotal step in modernizing them. Essentially, this integration automates medical record retrieval, incorporating it seamlessly into the underwriting workflows, enhancing the review accuracy and efficiency. Thus, underwriters and case managers can now initiate medical record requests directly from the Appian Platform, receiving comprehensive reports without leaving the main interface. This transformation saves hours of manual work, optimizes medical underwriting processes, and accelerates decision-making. Furthermore, by incorporating the EHR data, Appian provides the underwriters with granular level visibility and relevant, drilled-down insights - enabling fast-tracked and informed decision making. This innovation specifically highlights Appian’s commitment for leveraging the access to advanced third-party data, along with promoting an enhancement in the accuracy and overall efficiency, which is achieved by driving innovative underwriting methodologies and product solutions across the industry.

Summary -

The strategic partnership between Appian and ReleasePoint effectively leverages the strengths of both the companies, through streamlined promotion of end-to-end underwriting automation and curated workload management techniques. This ensures enhanced efficiency and accuracy of life insurance underwriting, which would ultimately drive faster market entry with reduced IT efforts. Thus, leveraging AI-driven solutions, the insurers could - streamline end-to-end operations, drastically reduce associated errors, and improve the overall underwriting process for customers and stakeholders alike.

Author: Apoorva Dawalbhakta, Associate Director (Research) at Quadrant Knowledge Solutions