List of Milliman IntelliScript Customers
Seattle, 98101-2646, WA,
United States
Since 2010, our global team of researchers has been studying Milliman IntelliScript customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Milliman IntelliScript for Risk Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Milliman IntelliScript for Risk Management include: Reinsurance Group of America, a United States based Insurance organisation with 3900 employees and revenues of $18.34 billion, Woodmen of the World Life Insurance Society, a United States based Insurance organisation with 1000 employees and revenues of $1.10 billion, AAA Life Insurance Company, a United States based Insurance organisation with 800 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using Milliman IntelliScript, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AAA Life Insurance Company | Insurance | 800 | $300M | United States | Milliman Marc | Milliman IntelliScript | Risk Management | 2024 | n/a |
In 2024, AAA Life Insurance Company engaged Milliman IntelliScript in a 10 month research and case study to evaluate interpreted prescription, claims, and EHR driven data for post issue review and underwriting decisions in the United States. The engagement used Milliman IntelliScript as the core Risk Management application to consolidate clinical signals and to support underwriters and post issue review teams with standardized, interpreted medical information.
Milliman IntelliScript was configured to leverage the Irix Rules Engine and the Medical Data module to operationalize rule driven signal detection and interpreted clinical abstraction. The Irix Rules Engine executed rules based scoring to surface candidate cases from prescription and claims inputs, while the Medical Data capability produced normalized clinical summaries from EHR driven data for downstream review and workflow automation.
Integrations were established to ingest interpreted prescription, claims, and EHR driven datasets, normalizing those inputs into Milliman IntelliScript for consistent evaluation. Processed outputs were routed into underwriting and post issue review workflows across AAA Life Insurance Companys United States operations, enabling targeted data acquisition and case prioritization in the underwriting lifecycle.
Governance for the 10 month research and case study included iterative rule calibration with underwriting leadership and structured validation cycles to refine signal thresholds and acquisition triggers. The documented findings reported more targeted data acquisition and improved decision speed as outcomes of the Milliman IntelliScript Risk Management deployment.
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Reinsurance Group of America | Insurance | 3900 | $18.3B | United States | Milliman Marc | Milliman IntelliScript | Risk Management | 2023 | n/a |
In 2023, Reinsurance Group of America conducted an actuarial validation study of Milliman IntelliScript’s Irix Risk Score v3.0 as part of a formal model validation engagement. The engagement produced a published white paper that validated the Irix Risk Score for underwriting and reinsurance analytics in the U.S. market and positioned the product within RGA’s Risk Management toolset.
The validation evaluated the Irix Risk Score’s core functionality, focusing on how Prescription Data and Medical Data are combined to generate risk scores and drive improved risk segmentation. Milliman IntelliScript was assessed for its scoring algorithm and segmentation capabilities, and its output was considered for underwriting decision analytics and reinsurance assessment workflows.
Operational scope targeted underwriting and reinsurance functions within RGA’s U.S. analytics environment, with the Irix Risk Score intended to inform underwriting selection and pricing discussions. The study served as documented model validation supporting governance for use of Milliman IntelliScript in underwriting and reinsurance analytics.
Governance and rollout considerations were centered on the actuarial validation outputs and the published white paper, which provide model validation evidence for compliance and analytics governance. The validation demonstrated improved risk segmentation and underwriting gains when Prescription Data and Medical Data are combined, supporting RGA’s adoption decision for Milliman IntelliScript in Risk Management applications.
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Woodmen of the World Life Insurance Society | Insurance | 1000 | $1.1B | United States | Milliman Marc | Milliman IntelliScript | Risk Management | 2020 | n/a |
In 2020, Woodmen of the World Life Insurance Society implemented Milliman IntelliScript. Milliman IntelliScript, positioned as a Risk Management application, was adopted to accelerate medical underwriting workflows for U.S. individual life business with an emphasis on lower face amount cases.
The implementation leverages interpreted medical and prescription data to inform underwriting triage. Module usage aligns with vendor-described capabilities, specifically Irix Medical Data and Prescription Data, which provide normalized, interpreted pharmacy and medical history outputs for underwriter review and case triage.
Operationally the deployment was applied within underwriting functions to change APS ordering behavior for lower face amount business, embedding interpreted data into exception workflows and underwriting decision gates. Vendor-reported outcomes cited in product materials indicate reduced APS orders and faster turnaround for lower face amount cases, delivering improved underwriting efficiency in the U.S. market.
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