Article ID: 6829735736f46ab45e9dda397fd7528c6fc930c45ec58b7ce2b066203ee63cee
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URL: https://www.businessinsurance.com/comp-industry-looks-beyond-ai-time-savings-to-worker-outcomes/
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Comp industry looks beyond AI time savings to worker outcomes - Business Insurance Skip to content Register for free Search Search Log In Risk Management Cyber Risks Pricing Trends Mergers & Acquisitions Technology Sponsored Content WSIA RISKWORLD Workers Comp & Safety Workers Comp Cost Control Pain Management Workplace Safety International EMEA Asia-Pacific Latin America People Events BI Intelligence Top 100 Agents & Brokers Best Places to Work 2026 Lists Directories Insurance Pricing BI Stock Index Magazine Current Issue Past Issues Subscribe Women to Watch ALL INsurance Resources Risk Perspectives Sponsored Content Webinars White Papers Risk Management Cyber Risks Pricing Trends Mergers & Acquisitions Technology Sponsored Content WSIA RISKWORLD Workers Comp & Safety Workers Comp Cost Control Pain Management Workplace Safety International EMEA Asia-Pacific Latin America People Events BI Intelligence Top 100 Agents & Brokers Best Places to Work 2026 Lists Directories Insurance Pricing BI Stock Index Magazine Current Issue Past Issues Subscribe Women to Watch ALL INsurance Resources Risk Perspectives Sponsored Content Webinars White Papers Risk Management Cyber Risks Pricing Trends Mergers & Acquisitions Technology Sponsored Content WSIA RISKWORLD Workers Comp & Safety Workers Comp Cost Control Pain Management Workplace Safety International EMEA Asia-Pacific Latin America People Events BI Intelligence Top 100 Agents & Brokers Best Places to Work 2026 Lists Directories Insurance Pricing BI Stock Index Magazine Current Issue Past Issues Subscribe Women to Watch ALL INsurance Resources Risk Perspectives Sponsored Content Webinars White Papers Risk Management Cyber Risks Pricing Trends Mergers & Acquisitions Technology Sponsored Content WSIA RISKWORLD Workers Comp & Safety Workers Comp Cost Control Pain Management Workplace Safety International EMEA Asia-Pacific Latin America People Events BI Intelligence Top 100 Agents & Brokers Best Places to Work 2026 Lists Directories Insurance Pricing BI Stock Index Magazine Current Issue Past Issues Subscribe Women to Watch ALL INsurance Resources Risk Perspectives Sponsored Content Webinars White Papers Comp industry looks beyond AI time savings to worker outcomes by Louise Esola Workers Comp , Workers Comp Cost Control Oct 7, 2026 Artificial intelligence is helping workers compensation claims professionals spend less time on paperwork, but determining whether those savings translate into better outcomes for injured workers remains a challenge, industry experts say. Rising Medical Solutions’ 2026 Workers’ Compensation Benchmarking Study, released in late September, found that 58% of respondents using predictive modeling and AI-driven analytics reported improved frontline staff efficiency or effectiveness. However, 28% had not assessed those gains and 35% had not assessed the effect on claim closure outcomes. “What we can’t say is that every hour saved on automation is translated into better injured worker outcomes, because the data doesn’t measure that,” said Denise Zoe Algire, the study’s principal researcher and report author, based in the San Francisco Bay Area. Medical summaries provide an immediate benefit when adjusters inherit longstanding claims with thousands of pages of records, said Jason Beans, CEO of Chicago-based Rising Medical Solutions. Those summaries can save hours of review as claims change hands over the years, he said. At AF Group, AI and automation support document processing, information organization, workflow routing and identification of claims needing early attention, said Lansing, Michigan-based Kim Leggette, chief claims officer, in an email. “The goal is not simply to increase caseload capacity,” Mr. Leggette said. “We reinvest time savings into higher-value activities, including injured worker engagement, employer and provider collaboration, return-to-work coordination, and proactive management of complex claims.” Connecting those operational improvements to the injured worker experience requires measurement systems that organizations have not necessarily established, Ms. Algire said. The survey’s reported gains do not establish that AI caused better outcomes. AF Group evaluates responsiveness, the timeliness of contact with injured workers, return-to-work results, claim resolution and customer experience, Mr. Leggette said. Isolating a single technology’s effect on outcomes remains difficult, he said. Mr. Beans said organizations also have an opportunity to automate the administrative steps that follow a summary. Information about a return-to-work date, for example, could populate a claims system without requiring an adjuster to manually enter it. Rising is working toward having information extracted from records trigger subsequent actions, rather than simply producing summaries that adjusters must review and act on, he said. Such changes could reduce burdensome documentation, Ms. Algire said, which takes time away from conversations with injured workers and other tasks requiring human judgment. Implementation, however, takes longer than getting a tool up and running, Mr. Beans said. Rising introduced AI quickly on its centralized platform, but testing answers, refining questions and determining how best to present documents to the system took considerably longer. Protecting sensitive health information and avoiding inaccurate AI-generated answers remain significant concerns, he said. Mr. Leggette said AI’s greatest value comes when it enhances human expertise rather than replaces it. Ms. Algire said greater claims capacity is not necessarily a negative outcome if technology adequately supports the additional workload. But the purpose should remain giving claims professionals more opportunity for meaningful engagement. “The goal shouldn’t be to automate the relationship with injured workers,” she said. 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