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Automating the experience study workflow can be achieved within a couple of months and effectively reduces the required actuarial effort by 70 to 80 percent immediately, making it an easy place to begin the Actuarial Automation journey.

CMS estimates the prices for medical goods and services are projected to grow an average of 2.4 percent annually by 2028. Decision Science allows health insurers an opportunity to improve customer wellness and reduce medical expenses through data.

Originally shared by AWS, Montoux's Klaas Stijnen and AWS' Ben Meyvin explain how Montoux's AI-driven model replication capability, powered by AWS, can transform life insurers' model replication process - completing it in weeks instead of months. Check out the details, and further use cases, in this blog.

Originally shared in Forbes, Montoux's Geoff Keast explains how insurers can modernize their decision making process for success.

UK life insurers need better data, analytics, and technology to bridge crucial internal data gaps and develop multi-dimensional analysis of their distribution quality. 

Leveraging a Decision Science platform, insurers gain the ability to effectively plan, predict, and react in new business sales processes as well as rich, holistic decision making capabilities as a result.

Decision Science empowers providers to better understand the drivers of hospitalization and readmission, improving intervention success, benefit design, and financial projections.

Life insurers' yearly experience study process is costly, time consuming, and inefficiently siloed. Automation cuts the workflow from months to days while improving the value, insights, and decisions life insurers can gain.

Originally in Forbes, Montoux's Geoff Keast explains why human expertise is still an essential component of the automated decision making process.