AI Resilience Report forClaims Adjusters, Examiners, and Investigators

AI is already changing how claims adjusters work, but it's mostly handling the routine parts of the job rather than replacing adjusters entirely. According to a recent Sedgwick study, between 58% and 82% of insurers use AI tools in their operations, but just 12% say they have fully mature AI capabilities, and only 7% say they have achieved scalable AI success, as reported by Claims Journal ^[1]. The administrative layer is going first: a trade article notes that first notice of loss, first-pass medical summaries, coverage checks, duplicate claim detection, low-severity property damage review, routine correspondence, and diary notes are quietly being automated — at this point, this isn't innovation; it's table stakes, per Claims Journal ^[1].

In workers' comp, Risk & Insurance ^[2] reports that a recent PwC study found 87% of workers' comp carrier respondents are building or planning to build out AI platforms, and 60% already have a defined AI strategy. The Bureau of Labor Statistics ^[3] confirms that insurance companies have deployed drones to take aerial photographs of sites without sending a human examiner into the field, and AI can autogenerate the analysis and initial payout estimates traditionally prepared by an adjuster. The good news: complex, high-stakes claims — negotiation, litigation decisions, and judgment calls on the toughest 20% of files — still require human adjusters.

Adoption is moving fast but unevenly. Cost savings are a huge driver — Risk & Insurance ^[2] notes preliminary findings suggest 80% increases in automated efficiencies for simple tasks. However, fragmentation slows things down: with so many tools involved in the claims process, carriers' data is often inconsistent, incomplete or siloed across systems, which weakens AI outputs and decisions, according to Claims Journal ^[1].

Legal and ethical pressure is growing, too. Futurism ^[4] reports that a Palm Beach Post investigation found 80-year-old Florida retiree Iris Smith may be a victim of AI-fueled preauthorization denials, as her home state is one of six exploring an AI Medicare screening program, raising public backlash. Regulators are responding: Autobody News ^[5] reports that a 12-state pilot launched in March requires carriers to submit their AI claims systems for regulatory review.

Liability concerns are reshaping workflows, too — Claims Journal ^[1] warns that AI doesn't eliminate jobs — it eliminates tasks, and the adjuster role is a collection of tasks being pulled apart, leaving the part that actually decides outcomes.

If you're considering this career, the takeaway is hopeful: routine paperwork is shrinking, but human skills like empathy, negotiation, ethical judgment, and handling complex losses are becoming more valuable, not less. Learning to work alongside AI tools will likely be the key skill for the next generation of adjusters.