White Paper

Scaling Expertise in a Constrained Claims Workforce

Industry experts discuss the evolution of claims management as organizations leverage AI to support adjusters, not replace them, while improving outcomes for all stakeholders.
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White Paper Summary

The conversation around AI in workers’ compensation has covered familiar ground: staffing shortages, rising caseloads, and pressure on adjusters. These challenges are well understood. What’s shifting is how organizations are beginning to act on them, moving from awareness to deliberate approaches for applying expertise at scale.

Satish Narayanan, Chief Data & Information Officer at MedRisk, frames that shift through three pillars of responsible AI in claims management: codification of expertise, identification of critical decision points, and AI-driven empathy. Together, these pillars reflect how AI can support, not replace, claims professionals in ways that improve consistency and outcomes across the claims lifecycle.

To learn more about MedRisk, please visit their website.

MedRisk is the leader in physical rehabilitation for the workers’ compensation industry. Our clinically based program ensures evidence-based care, reduces costs, and promotes return to work.

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