Best Practices in Modern Claims Management

  • Darin Reffitt, Director of Product Marketing

October 01, 2025

In the intricate world of P&C insurance, claims management has long been viewed through a narrow lens, as a necessary and cost-centric function of risk mitigation. But this perspective is rapidly becoming obsolete. In an environment that is defined by economic volatility, escalating customer expectations, and significant technological shifts, claims management is no longer just a cost center. It has become a critical hub of enterprise intelligence and a powerful driver of strategic value. For insurance professionals who are shaping the course of the sector, navigating this evolution is paramount.

The Impact of Effective Claims Management

Today, claims leaders are caught in a difficult balancing act, striving to control indemnity spending and operational costs while simultaneously delivering the empathetic, swift service that defines a modern customer experience. A delay of just a few days in reporting can dramatically inflate claim costs. A study by the National Council on Compensation Insurance (NCCI) found that workers' compensation claims reported more than two weeks after the date of injury had an average final cost that was 18% higher than claims reported within the first week. There’s immense financial and operational pressure inherent in the system, and the challenge increasingly surfaces in the question of “how we can transform this pressure into performance?”

The answer lies in reframing claims management not as a series of transactions, but as a cohesive strategy that is built on three foundational pillars: Intelligent technology, data-driven decision-making, and specialized expertise.

Key Components of Modern Claims Management

Pillar #1: Building an Intelligent Claims Technology Core

A modern claims strategy is impossible without a robust technological foundation. Advanced claims management platforms, such as Guidewire ClaimCenter, serve as the central nervous system for all claim-related activities and are moving beyond simple record-keeping to become drivers of automation and insight. These systems provide integrated document management, real-time status tracking, and automated sharing of information between adjusters, legal teams, and claimants to eliminate the friction that slows resolution.

Use of Technology and Automation

The impact of modernization is substantial: Recent McKinsey research shows that, for example, best-in-class insurers that implement domain-level AI rewiring have achieved "a 10% to 20% improvement in new-agent success rates and sales conversion rates, a 10% to 15% increase in premium growth, a 20% to 40% reduction in costs to onboard new customers, and a 3% to 5% accuracy improvement in claims.” This isn't just an incremental improvement; it represents a fundamental shift in operational capability.

Consistent Oversight and Coordination

Finally, digital technology is a key enabler for this transformation. According to Accenture's latest research on generative AI in insurance, 29% of working hours in the insurance industry can be automated by AI, while an additional 36% of working hours can be augmented by AI technologies. For claims specifically, AI enables straight-through processing that can "drop the aggregate cycle time from days to minutes" for the majority of claims. This frees up skilled claims handlers from repetitive tasks like manual data handling and claim status inquiries to focus on complex cases and high-value customer interactions, enabling increased empathy and turning the claims team into a center of excellence.

For deeper insight, see how AI is transforming claims operations in P&C.

Pillar #2: Turning Claims Data into a Decisive Asset

For decades, the vast reserves of data generated during the claims process have remained largely untapped. However, that data is quickly becoming one of an insurers’ most valuable assets, because effective claims management hinges on the ability to analyze this information to drive smarter, faster decisions across the entire business.

Ongoing Evaluation and Process Improvement

Strategic prioritization lies at the heart of modern claims transformation. PwC research demonstrates that insurance carriers implementing modern transformation initiatives can simplify new business processes and achieve up to 50% more policy binds through decreased turnaround times, but the real value extends far beyond efficiency metrics. Using predictive analytics, a modern system can instantly triage incoming claims and flag high-severity and potentially-fraudulent cases for immediate review by senior adjusters. This ensures that the most critical claims receive the right level of expertise from day one.

The use of advanced analytics becomes a critical line of defense against costly fraud, with systems that recognize patterns invisible to the human eye, reduce false positives, and improve the accuracy of fraud detection efforts. PwC's transformation case studies validate this approach, showing clients achieving 30% efficiency gains from day one through enhanced task management and process automation. By intelligently routing routine claims through automated workflows while escalating complex cases to experienced adjusters, insurers protect their bottom line while simultaneously elevating the customer experience through faster, more accurate claim resolution.

Timely and Accurate Reporting

This claims data analysis also provides invaluable feedback for other core functions. Underwriting teams can use insights on claim frequency and severity to refine risk models and pricing. Product development teams can identify trends that signal a need for policy adjustments or new coverage types. When claims data is accessible and easily interpreted, it becomes a powerful engine for continuous improvement across the entire organization.

Pillar #3: The Power of Specialization and Standardized Workflows

A one-size-fits-all approach to handling claims is a direct path to inefficiency and poor outcomes. Despite modernization, carriers continue to face common challenges in claims management, such as:

  • Time-consuming documentation – Manual entry slows down processes and increases error risks.
  • Inconsistent processes – Without standardized workflows, performance varies across teams.
  • Fraud risks – Lack of advanced fraud detection tools leaves insurers exposed to costly fraud.
  • Delayed communication – Slow or inconsistent updates between adjusters, vendors, and policyholders erode trust and inflate costs.

Additionally, the expertise required to manage a complex cyber liability claim is vastly different from the expertise needed for a standard auto claim or a workers' compensation case. A best-in-class claims strategy, therefore, embraces specialization.

By creating dedicated teams or pods of experts for specific claim types, insurers ensure that deep domain knowledge is applied where it's needed most. For example, a specialized workers' compensation team can focus on proactive, structured return-to-work plans, which not only aid in employee recovery but also significantly reduce the duration and total cost of the claim.

This expertise must always be supported by standardized workflows. When insurers establish clear, simple, and consistent protocols for every stage of the claims process from initial report to final resolution, they ensure efficiency and quality control. Workflows should be executed directly within the claims management system, guide adjusters through any necessary steps, prompt for required documentation, and automate routine communications. Keep in mind, process optimization doesn't stifle expert judgment; instead, it frees adjusters from procedural guesswork and allows them to focus on critical thinking and negotiation.

Best Practices for Implementation: A Practical 3-Step Checklist

How can you transform claims management from a reactive function to a strategic asset? Here is a helpful checklist to guide your implementation:

  1. Assess Your Technology Foundation. Evaluate your current claims management system. Does it offer a single source of truth? Does it support robust data analytics and automation? Identify the gaps between your current capabilities and the demands of a modern claims environment.
  2. Commit to a Data-First Culture. Go beyond simple reporting. Invest in the tools and training necessary to empower your team with predictive analytics and claims data analysis. Ensure that insights from the claims department are actively shared with underwriting, risk management, and executive leadership.
  3. Standardize and Specialize. Map out your core claims processes and implement standardized workflows. Identify high-volume or high-risk claim types that would benefit from dedicated, expert teams and structure your department accordingly.

A New Strategic Approach

Ultimately, effective claims management is no longer just about closing files and managing costs. It is about building a more resilient, intelligent, and customer-centric organization. By embracing these best practices, by investing in an intelligent technology core, by leveraging data as a strategic asset, and by fostering specialized expertise, claims leaders can do more than just mitigate risk; they can deliver on the fundamental promise of insurance while uncovering new opportunities for growth and innovation.

In today's market, this is not just a best practice; it is the new strategic mandate for every forward-thinking insurer. As a strategic guardian of your company's financial health and public reputation, mastering the art and science of claims is your most powerful lever for success.