Claims Lifecycle Management: Best Practices for Insurers

Marcin Nowak
May 15, 2025
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Efficient claims management forms the bedrock of your insurance company's commitment to customers. Yet, many insurers find their current claims process falls short. Consider that approximately 30% of claimants express dissatisfaction with how their insurance claims are handled, and 60% point to slow settlement as a primary frustration.

Claims experiences are not just inconvenient; they place up to $170 billion in premiums at risk globally by 2027.

The time to transform your claims lifecycle is now.

Key Takeaways:

  • Claims lifecycle management is key to insurance company success, impacting customer experience, operational costs and profitability.
  • Automation and AI can transform the claims process from first notice of loss to final payment.
  • Integrating claims management systems with policy administration and CRM platforms gives a holistic view of the customer and streamlines operations.
  • Focusing on best practices in technology adoption and process optimization helps insurance carriers improve service level agreements (SLAs), reduce losses and increase policyholder satisfaction.

The claims lifecycle for Property & Casualty (P&C) insurance companies covers all activities from when a customer first reports a claim (first notice of loss) to when that claim is resolved and closed. Effective claims management is not just an operational necessity; it’s the foundation of an insurer’s reputation and financial health. Many insurance companies struggle with old claims systems and inefficiencies.

For example, poor claims experiences put up to $170 billion in premiums at risk globally.

Furthermore, over 30% of customers have switched or considered switching insurance carriers after a bad claims experience. Adopting modern technologies and refining the claims process can turn these challenges into a competitive advantage for any insurance company.

What is the insurance claim lifecycle?

The insurance claim lifecycle is the entire journey of an insurance claim within a P&C insurance company, from its initial reporting to its final resolution, including payment and any subsequent recovery. Managing this lifecycle is critical. It affects customer experience and retention, operational efficiency and an insurer’s ability to compete in the market. A streamlined claims lifecycle means policyholders get prompt and fair service and the company can control costs and allocate resources effectively.

Stages of the claims lifecycle

The claims lifecycle unfolds in several stages, each with opportunities for optimization.

First Notice of Loss (FNOL)

First notice of loss, or FNOL, is the initial reporting of a claim by a policyholder to the insurance company. This is the critical starting point of the claims process. Challenges at this stage often include delays in reporting, receiving information through multiple channels and manual data entry which can introduce errors into the claims data from the beginning. An efficient FNOL process sets the tone for the rest of the claims journey.

Triage and assignment

Triage and assignment involve categorising incoming claims by complexity and type and assigning them to the relevant claims teams or adjusters. Proper routing is key. Simple claims like minor property damage can be fast-tracked while complex ones like workplace injury or significant general liability require special handling. Effective triage means claims are managed by people with the right expertise, which improves efficiency.

Investigation and assessment

During investigation and assessment the insurer verifies coverage under the policy, gathers facts about the incident and assesses the extent of the damage or loss. Adjusters spend a lot of time on administrative tasks rather than value-added investigation. Siloed data systems can also hinder this stage, making it difficult to get a complete picture of the claim and the policyholder. Thorough documentation is critical here to determine liability.

Evaluation and decision-making

Evaluation and decision-making focus on determining the insurer’s liability, setting the right financial reserves for the claim and, where applicable, negotiating a settlement. Inefficiencies in this part of the claims lifecycle, such as delays in evaluation or inconsistent decision-making, can extend cycle times and frustrate customers. This stage is key to managing the company’s financial exposure.

Settlement and payment

Settlement and payment involve calculating the final settlement amount for covered claims and issuing the final payment to the policyholder or other entitled parties. Delays in payment are a major source of customer dissatisfaction. A quick and transparent billing process and reimbursement is expected by claimants. This stage is the last interaction with the policyholder for most claims.

Subrogation and recovery

Subrogation and recovery is the process where an insurer, after paying a claim, seeks to recover the payment amount from a third party who is legally responsible for the loss. For example, if another party caused the property damage, the insurer might pursue them. Identifying and acting on subrogation opportunities can recover significant funds for the insurance company, impacting its bottom line.

What are the current challenges insurance companies face in managing the claims lifecycle? 

Insurers face several pain points across the claims process. Slow claims processing times remain a persistent issue, often exacerbated by high levels of manual work. Manual work is not only time-consuming but also error-prone; over 60% of manually entered claims have errors. 5-15% of auto claims are denied due to documentation issues.

Fraud goes undetected too. Beyond these operational challenges, insurance carriers must navigate a complex regulatory environment and meet increasing customer expectations for speed and transparency in the administration process. Addressing these issues is key for any insurer looking for efficiency.

Best practices in claims lifecycle automation

How can automation help the claims lifecycle? Automation can transform the claims process by streamlining workflows, reducing manual intervention and speeding up operations. The benefits are most visible in areas like initial claim submission, customer communication and processing of straightforward insurance claims. Digital workflows are a key component of these best practices.

What does digital first notice of loss (FNOL) and omnichannel service mean for claims management? 

Digital FNOL systems speed up and improve the accuracy of reporting insurance claims. Policyholders can submit their claims through multiple channels such as mobile apps, web portals or even text messages, reducing lag time from days to minutes. This improves data quality from the very first notice. Omnichannel service means a consistent customer experience regardless of the channel chosen, including triggers from IoT devices for certain types of insurance policy claims.

Customer communication automation

How does automating customer communication improve the claims experience? Automated communication improves the customer experience during the claims process. Tools like chatbots can provide instant answers to common questions. Automated email and SMS updates keep policyholders informed about the status of their insurance claims. Self-service portals allow customers to find information and submit documentation at their convenience. While automation handles routine updates, it’s important to maintain personalization in clear communication to ensure customer satisfaction.

Automated claims processing

What is automated claims processing? Automated claims processing often means straight-through processing (STP) for simple, low-risk insurance claims. This means once a claim is submitted, it can be automatically assessed, approved and routed for payment without human intervention, based on predefined rules. Workflow automation can also assign tasks, send prompts to claims teams and manage deadlines within the administration process, increasing efficiency. For example, certain low-value property damage claims can be auto-approved at FNOL if all criteria are met.

How is Artificial Intelligence (AI) used in claims management? 

AI has multiple applications across the insurance claims value chain. It supports human decision-making, helping employees to handle claims better, not replace adjusters. AI can analyze vast amounts of data to identify patterns, predict outcomes and optimize various stages of the claims lifecycle.

AI for claims triage and routing

How does AI help in claims triage and routing? AI models analyze incoming claims data, including unstructured information from claim submission forms or images, to prioritize and route them to the right claims teams or individual adjusters. This ensures complex insurance claims get immediate attention from experienced personnel while simpler claims can be handled through automated or expedited pathways, resulting in better resource allocation within the insurance company.

Computer vision for damage assessment

Computer vision, a part of AI, enables systems to “see” and interpret images or videos of damage. For example, in auto insurance, AI can analyze photos of a damaged vehicle to estimate repair costs for property damage. Similarly, it can assess damage to buildings or other property. AI solutions can auto-generate up to 70% of auto damage estimate line items, speeding up the assessment process and reducing manual inspection in some claims.

Advanced fraud detection systems

AI improves fraud detection accuracy by identifying subtle patterns and anomalies across vast datasets of claims that may be missed by human investigators. 

Techniques like machine learning and pattern recognition can flag suspicious claims for further review. This allows insurance carriers to move from a reactive to a more proactive stance against fraud, protecting the company from unnecessary losses and keeping premiums fair for honest policyholders.

Integration with policy management and CRM systems

Why is system integration key for claims management? Integrating claims management systems with policy administration and Customer Relationship Management (CRM) systems is essential for optimal efficiency and customer experience. Fragmented systems where data resides in silos lead to inefficiencies, duplication of effort and frustration for both employees and customers. A connected ecosystem ensures all relevant information is available when and where it’s needed throughout the claims lifecycle.

360° customer view

How does integration give a full customer view in claims? When claims management systems are integrated with policy and CRM systems, insurance employees get a full 360-degree view of the customer. This includes their policy details, past interactions, claims history and preferences. A full view means more personalized service, faster claims processing because information doesn’t need to be asked for repeatedly and better customer experience.

Data sharing across departments

What are the benefits of data sharing between claims and other departments? Connected systems enable seamless data sharing between claims and other departments like underwriting and risk management. 

For example, claims data (e.g. frequent types of claims for a certain policy or region) can inform underwriting decisions and refine risk assessment models. Cross-departmental collaboration, powered by shared data, improves the administration process and strategic decision-making for the insurer.

Cloud-based systems for seamless integration

How do cloud-based systems enable integration in claims management? Cloud-based claims management solutions generally offer more agility and easier integration than on-premise systems. They often come with robust APIs that simplify connections with other cloud services, including policy management and CRM systems. This means better scalability, easier updates and potentially lower maintenance overheads, so the insurer can adapt faster to changing business needs and technological advancements in the claims lifecycle.

Strategies for SLA and customer satisfaction

What can insurance companies do to improve Service Level Agreements (SLAs) and customer experience in claims? Improving SLA in claims is directly linked to higher customer experience. Best practices are to set clear measurable targets for each stage of the claims lifecycle and measure performance against those targets.

Meaningful claims metrics

What are the Key Performance Indicators (KPIs) to measure claims performance? To manage and improve the claims process insurance companies should track meaningful KPIs. These are:

  • Cycle time: From first notice of loss to claim settlement and payment.
  • First contact resolution rate: Percentage of claims or queries resolved in the first interaction.
  • Net Promoter Score (NPS) after a claim: Measure of customer loyalty and satisfaction after the claims experience.
  • Accuracy of reserving: How close the initial reserve is to the final payment.
  • Subrogation recovery rate: Percentage of potential recovery amounts collected. Real time dashboards help claims teams and management to monitor these metrics and identify areas for improvement in the process.

Empowering claims teams

How can insurance companies empower their claims teams? Give your claims adjusters and handlers the right tools, technology and autonomy to make decisions. This means access to integrated data systems, AI driven insights and ongoing training, especially as new technologies are introduced in the claims lifecycle. Addressing the “brain drain” challenge as experienced adjusters retire by investing in knowledge transfer and upskilling programs for all employees is also a good practice.

Efficiency vs Empathy

How can insurers automate the claims process while maintaining the human touch? While efficiency gains from automation are good, maintaining the human element, especially empathy is key in claims management. Train your claims handlers in empathetic communication, especially for sensitive claims like workplace injury or significant personal loss. 

Certain situations like complex liability disputes or dealing with vulnerable customers will always require nuanced human judgment and clear communication, which automation can’t provide. This balance is key to a good customer experience.

Reducing losses through better claims management

How can better claims management reduce an insurer’s losses? Better claims management directly impacts an insurance company’s loss ratio and overall financial performance. By optimizing each stage of the claims lifecycle from accurate initial assessment to effective fraud detection and recovery, insurers can minimize payment leakage and control costs associated with claims.

Early intervention

How does quick action reduce the severity and cost of insurance claims? Early intervention strategies initiated as soon as a claim is reported (at first notice) can reduce the ultimate cost and severity of the claim. 

For example, in workplace injury claims immediate medical case management can lead to better outcomes for the injured employee and lower medical expenses. For property damage claims arranging emergency repairs quickly can prevent further damage and reduce the overall scope of the claim. Statistics show that early intervention leads to better claims outcomes.

Data driven decision-making

How can analytics inform decisions in the claims process? Use data analytics to make more informed decisions throughout the claims lifecycle. Predictive modeling can forecast the potential severity of a claim early on and help set more accurate reserves and allocate the right resources. Text analytics applied to customer communications (emails, chat logs) can gauge sentiment and identify potential issues or escalation risks and allow claims teams to intervene proactively. This data driven approach will determine the best course of action for each claim.

Optimized subrogation and recovery

How can data analytics improve subrogation and recovery for insurance claims? Data analytics can significantly improve the identification and pursuit of subrogation and recovery opportunities. By analyzing claims data AI powered tools can flag claims with high recovery potential that would otherwise be missed. Best practices are to identify subrogation possibilities early, assign these claims to specialist handlers or even law firms if legal counsel is needed and use analytics to prioritize recovery efforts based on the likelihood of success and potential return. Better subrogation reduces the net cost of claims for the insurer.

Agent portals for better claims management

How do agent portals contribute to claims lifecycle management? Agent portals are a valuable bridge between the insurer, the agent and the customer. These platforms provide agents with tools and information to help their customers better throughout the claims lifecycle from initial claim submission to tracking the progress of the claim. This improves communication and efficiency for all parties involved.

Digital claim submission through agent portals

How can agents use portals for claim submission? Agent portals often allow insurance agents to submit claims digitally on behalf of their customers. This method has several benefits over traditional paper based or phone based reporting. It reduces latency in getting the claim into the insurer’s system and ensures more accurate and complete information capture at first notice of loss as agents are familiar with the required documentation and insurance policy details.

Real time status tracking for agents

Giving agents real time claims status for their customers’ insurance claims through a portal provides transparency. This allows agents to manage customer expectations by providing timely information without having to contact the claims department directly. Agents should be able to see key milestones in the claims lifecycle, current actions and any outstanding requirements to facilitate clear communication and better customer experience.

Roadmap for claims lifecycle improvement

What should an insurer do to transform their claims operations? Transforming claims operations requires a structured approach. Start with a thorough assessment of your current claims process, identify pain points, inefficiencies and areas for improvement. Prioritize initiatives based on their impact on customer experience, cost reduction and efficiency. Then select the right technology that aligns with your strategic goals for claims management. Crucially manage the change within your organization to ensure employees adopt the new tools and digital workflows.

Building a business case for technology investment

How can an insurer justify investment in new claims technology? To build a business case for technology investment in claims management, quantify the benefits. This means forecasting improvements in specific metrics, such as:

  • Reduction in claims processing cycle time.
  • Decrease in administrative costs per claim.
  • Improvement in fraud detection rates.
  • Increase in subrogation recoveries.
  • Improvement in customer experience scores (e.g. NPS). 

Calculate the potential Return on Investment (ROI) based on these metrics to get approval for the spend on the administration process.

Phased implementation approach

What is the recommended approach for rolling out improvements to the claims lifecycle? Adopt an agile, test-and-learn approach for implementing claims lifecycle improvements. Instead of a “big bang” overhaul consider a phased approach. Pilot new technology or process changes in a specific line of business or for a particular type of claim. This allows the insurer to gather feedback, refine the solution and demonstrate success on a smaller scale before a full rollout. This iterative approach minimizes risk and ensures smoother adoption across the claims teams.

Next step in claims management

Claims lifecycle management is not a project, it’s an ongoing commitment for every insurer. By automating, using AI, integrating systems and best practices, insurers can achieve significant benefits. These include better customer experience, reduced operational costs, lower claims pay out through better efficiency and fraud detection and ultimately a competitive advantage. If your insurer is looking for a platform to manage the entire claims lifecycle from first notice to final payment and recovery, look for solutions that offer robust reporting, digital workflows and advanced analytics. Start transforming your claims process now.

Transform your claims management

Transform your claims operations with our comprehensive software solution. Our platform equips your insurance company with digital First Notice of Loss (FNOL) and omnichannel service. It provides automated workflows and fraud detection. You gain real-time status tracking and collaboration tools. Benefit from compliance monitoring and reporting, alongside seamless integration with your existing systems.

Contact our sales team now. Discover how our solution revolutionizes your claims management process and protects your premium revenue. Schedule your personalized demo to witness the impact of digital transformation on your claims lifecycle.

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