The auto insurance industry today is facing many new challenges, including elevated repair costs, evolving fraud risk, and policyholders still expecting fast, almost immediate answers when a vehicle claim disrupts their lives.
In fact, the CCC Intelligent Solutions reported that total-loss claim share reached a record, with vehicles seven years or older accounting for more than 72% of total-loss valuations as aging vehicles and rising repair costs continue putting additional pressure on claims operations. Average total repair costs were above $4,730 in 2024, a 3.8% increase year-over-year, with costs rising a further 1.4% during the first half of 2025.
That said, the real problem extends beyond just claims volume or repair inflation. Many teams still rely on fragmented data across multiple sources when verifying basic claim information. And every delay in that process causes additional expenses and friction. This means the claims process can only modernize if adjusters can access verified data early enough to make better decisions before those costs escalate.
Digital Claims Tools Need Stronger Data Beneath Them
Forrester expects U.S. insurance technology budgets to reach $173 billion in 2026. So, it’s safe to assume that carriers have spent millions, if not more, investing in front-end claims technology. FNOL automation to mobile photo uploads, AI-assisted triage, and digital communications have all undoubtedly improved speed and customer access. But, like many other technological advancements, those tools only perform as well as the data that feeds them.
Many bottlenecks appear after intake, when adjusters need to confirm whether a claimant has clear ownership or whether title activity creates settlement risk. A claim can move through digital intake quickly and still stall once a team needs verified vehicle data from these disconnected systems.
In total-loss workflows, a missing lien record can hold up payment, a title discrepancy can force late-stage review, and a VIN inconsistency can trigger additional investigation after the carrier has already invested time in valuation and settlement coordination. Digital claims systems create speed at the front of the process, but it’s verified data that protects that speed through resolution.
Claims Leakage Often Starts With Small Data Failures
It’s very rare that claims leakage happens due to just one dramatic error. It usually builds through repeated friction across thousands of files. For example, a delayed lienholder confirmation adds handling time, and a late title issue creates settlement rework. Each of these issues may look manageable individually, but across the total claims book, those small failures add up to real cost.
Claims leaders already track macro severity drivers such as repair inflation and litigation exposure. Operational leakage deserves the same attention because it sits closer to the daily work of claims teams. It affects cycle time, adjuster capacity, policyholder satisfaction, and payment accuracy.
The cost environment makes those small breakdowns harder to absorb. But it’s better data that gives carriers a direct way to reduce friction inside the claim, rather than only reacting to severity after it shows up in the file.
Total-Loss Claims Need Earlier Verification
Total-loss claims place a heavier burden on data quality because they require coordination across multiple parties. The carrier may need to confirm ownership, communicate with a lienholder, validate title status, process documentation, and resolve payment expectations within a very compressed timeline.
When adjusters can access verified title, lien and ownership information in real time rather than relying on fragmented lookups across disconnected systems, they can identify title issues before any valuation discussions advance. Earlier visibility helps claims teams spend less time handling administrative issues late in the process and more time focused on claim resolution, policyholder communication, and overall exposure management.
That can help improve control over claim outcomes, because adjusters spend less time resolving administrative issues late in the file and more time managing exposure, documentation quality, and policyholder communication.
Stronger Data Also Strengthens Fraud Detection
Fraud risk has also increased the importance of connected claims intelligence. Modern fraud schemes often exploit gaps in vehicle records, ownership data, title activity, and identity verification.
NICB projected a 49% rise in insurance crime involving identity theft by the end of 2025. Its analysis also found that nearly one quarter of identity-theft referrals involved synthetic identity activity. And with insurers in the U.S. losing roughly $300 billion to fraud per year, nearly 25% of the industry’s total value, it’s a costly issue to have.
Auto claims teams need to see these risks earlier in their workflow to stop schemes in their tracks. Title manipulation, VIN inconsistencies, suspicious transfer activity, irregular lien documentation, and undisclosed prior vehicle events can all indicate exposure. When adjusters or SIU teams see those indicators late, it’s the carriers that face higher investigative costs and weaker recovery options.
Connected verification data helps claims organizations identify suspicious patterns before payments even move forward. It also helps SIU teams prioritize the files with the highest risk, rather than forcing adjusters to chase disconnected data across every claim.
Data Security Has Become Part of Claims Performance
Claims data carries high security value because it often combines personally identifiable information, vehicle identifiers, ownership records, payment information, and lienholder details. As claims operations become more digital and increasingly dependent on outside data providers, carriers are placing greater scrutiny on how sensitive information moves across third-party systems and whether those systems meet modern security expectations.
That makes claims operations an attractive target for fraud actors and cybercriminals, and it is also why claims leaders need strong data governance and clearer visibility into the vendors supporting critical claims workflows. Teams need to know who accessed sensitive claim data, how systems use it, and whether third-party workflows protect it with the same discipline expected inside the carrier’s environment. As more carriers rely on outside data partners to support total-loss, fraud, and settlement workflows, security can no longer sit apart from claims performance. For data partners operating in this environment, SOC 2 compliance is not optional. It is the baseline signal that security controls have been independently verified, not just self-reported.
Better Claims Data Improves Adjuster Productivity
Claims organizations also continue to face staffing pressure and heavier file complexity. Experienced adjusters should spend their time evaluating exposure and guiding claim outcomes. Many still spend too much time searching for records, confirming basic facts, and resolving data inconsistencies that technology should surface earlier. Earlier verification can help reduce that burden.
When claims teams can trust core vehicle and ownership data, adjusters can move files with greater confidence. They can reduce manual follow-up, improve documentation quality, and focus attention on claims that require judgment rather than administrative tracking.
This also improves consistency across claims teams. Fragmented workflows create uneven outcomes because different adjusters may use different sources, ask different questions, or catch problems at different points in the file. Connected operational data provides teams with a shared foundation for decision making.
Why the Next Phase of Claims Modernization Should be Operational
Carriers need infrastructure that enhances data integrity across verification-intensive workflows, especially in total-loss processing and settlement coordination. Stronger claims data helps reduce leakage, improve cycle time, strengthen fraud detection, and protect adjuster capacity. Security also needs to sit at the center of that infrastructure. Claims data has become too valuable, too sensitive, and too operationally important for carriers to treat governance as a secondary concern.
The insurance industry has already improved customer-facing claims technology in abundance. Therefore, the next phase of modernization should naturally focus on the quality of the underlying data, especially the verified title, lien, and ownership layer that total-loss and fraud workflows rely on most.
