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Autonomize AI 2026
Reducing Administrative Burden via Customizable, Scalable AI-Powered Automation
Author
Everton Santos
Author
Drew Partridge
Healthcare organizations must navigate complex regulatory requirements and administrative burdens, while manual workflows in case management, prior authorizations, and appeals often create bottlenecks that hinder scalability and drive up labor costs. Autonomize AI aims to address these challenges by connecting enterprise knowledge, policies, data, agents, and applications to run and govern workflows across prior authorization, claims, appeals, pharmacy benefits, and other healthcare operations. This report explores customer satisfaction with Autonomize AI and identifies achieved outcomes from healthcare organizations that are utilizing these AI features and functionalities.
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Project Manager
Andrew Wright
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2026 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.