Key Takeaways
- Rising claim severity magnifies the cost of operational inefficiency.
- Faster claim handling can reduce both expenses and customer friction.
- Many delays occur before an adjuster ever begins working the claim.
- AI creates the most leverage when it completes work end-to-end, eliminating the handoffs and administrative steps between loss and action.
- In an inflationary claims environment, operational speed becomes a financial advantage.
Claims leaders don’t need another reminder that severity is rising, but the scale of the increase is worth a look. Between 2019 and 2025, U.S. home insurance claim severity nearly doubled.¹ In auto, total losses are becoming more common, while bodily injury claim severity continues to climb.²
Those trends have an operational consequence that’s easy to overlook: when more money is tied up in every claim, wasted time costs more too.
There’s immense pressure on insurers to control claims costs, but that’s only half the equation.
Higher loss costs also change the economics of the claims process. As severity rises, it becomes increasingly important to eliminate unnecessary steps, handoffs and waiting. Unlike many of the forces driving claims costs, operational friction is something insurers can influence.
When claims cost more, efficiency matters more
Speed has always mattered in claims. Nobody wants a policyholder sitting on hold, chasing updates or waiting longer than necessary to get a claim resolved. That's why claims efficiency has traditionally been tied to customer experience metrics such as NPS.
Customer experience still matters, but in an era of claims inflation, operational efficiency is gaining importance. Leaders recognize that every unnecessary hour, handoff and manual task drives higher costs:
- Wages for claims handlers and support staff
- Costs to third-party claims specialists
- Payouts for rental cars, additional living expenses and business interruption
- Storage fees
- Overhead expenses associated with equipment and resources
The part that can be controlled
Not every claims delay is within a carrier’s control. A body shop may be waiting on a part, or repairs may take longer after a major storm. But a surprising amount of delay occurs earlier, before an adjuster has even opened the file. That's where carriers have considerably more influence.
- Long hold times and limited after-hours availability delay FNOL.
- Manual triage slows routing and loss mitigation.
- Incomplete information triggers follow-up.
- Duplicate data entry adds work without adding value.
- Reassignments put claims back in the queue.
These delays represent a “human middleware” problem, in which people have to manually move information between systems, teams or process steps because those connections aren’t automated. No single handoff looks like a major expense, but stacked together, they add up to significant time and cost.
The biggest opportunity for AI in claims is to eliminate the waiting, handoffs and manual work that sit between one task and the next.
An insurance-native AI agent can take a claim from FNOL through validation and routing, then write that information into the claims system and kick off the next step. This removes entire steps from the process.
Reducing the steps between loss and action
As claims get more expensive, insurers have less room for operational waste. Carriers can't control the weather or repair costs, but they can reduce the manual steps between loss and action and limit the number of times information changes hands.
The less administrative work that reaches the adjuster, the more capacity claims teams have for the work that actually needs their expertise. That helps insurers manage rising costs while keeping claims moving.
Liberate helps insurers automate claims intake, eliminate administrative delays and scale claims operations without adding headcount. Learn how claims automation can improve efficiency while reducing operational costs.
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