Do you think Gen Zs will wait days or weeks for claims settlement, especially when they’re accustomed to depositing checks by smartphone and receiving same-day deliveries? Certainly not!
Modern policyholders want to be in greater control of the quality of service they are getting from their insurers. They no longer prefer to wait around to report a loss or schedule visits with an adjuster to assess the impact or intensity of a loss. They want to be serviced, and they want it fast. Therefore, the insurers need to reimagine their claims and completely transform their operation to become a dynamic, cost-effective, and most importantly, an efficient system. Against such a background, touchless, automated claims processing makes a case for itself.
As the name indicates, touchless claims processing is an innovative workflow, wherein the claims handling is entirely no-touch. In other words, the entire claims processing cycle from the first notice of loss (FNOL) to settlement has zero human involvement or interference. Digital claims processing leverages technologies like AI, ML, big data, data analytics, remote sensors, etc., to transfer the benefits or covered sum of an insurance policy straight into the hands of the policyholder.
Therefore, this process is also known as straight-through claims processing. The resulting digital ecosystem is used for claims reporting, capturing loss information, raising invoices, running system audits, and communicating between customers and insurers. Here’s a look at why insurers should embrace touchless claims processing.
Table of Contents
How Can Touchless Claims Processing Benefit Insurers?
How to Practically Enable Touchless Claims Processing?
How to Address Touchless Claims Processing Challenges and Risk Mitigation?
What Are the Regulatory and Compliance Considerations in Touchless Claims Processing?
How Can Touchless Claims Processing Benefit Insurers?
Naturally, the first question to come to mind of any insurer when considering a business disruption, especially a digital one pertaining to insurance claims management, is “what’s in it for me?” Well, allow us to break it down for you. The advantages of touchless claims in insurance can be summarized in the following points:
- Customers crave on-demand services. As such, touchless claims can be a great way to meet such a demand and extend self-servicing options
- Insurance companies can cut down on operational costs, especially for expenses relating to printing, mailing, and managing paperwork and more importantly manual intervention
- The claims processing cycle goes from 10-15 days with an average of 3-4 touches to 2-3 days with 1 or fewer touches
- The imminent reduction in turnaround times also sets the stage for greater customer satisfaction and a higher NPS score that enriches the customer experience
- The infusion of technology, automation, and a data-based approach to claims management will make the process more streamlined and accurate
- In addition to mitigating losses arising from inaccuracies or human error, touchless claims processing also reduces the loss adjustment expense (LAE) and loss ratios
- It increases employee satisfaction as the staff can deliver more value to the customer and faster results at work without experiencing any duress
- The organizational performance is delinked from the number of employees (or any other resources) available, which makes companies more scalable
- By sparing your human resources from the mundanity of regular claims-related tasks, you can reallocate them to more complex roles, which can accelerate revenues further
How to Practically Enable Touchless Claims Processing?
The application of touchless claims in insurance can be categorized into three parts, namely, pre-claims, claims, and settlement. We take a look at each of these separately to elaborate on how or where one can inject touchless claims processing:
Pre-Claims
- Pre-inspection: AI/ML analysis of images and videos of the insured property to capture the extent of the damage
- Underwriting: Instant underwriting review and approval based on inputs from AI
- Risk monitoring: Tracking insured property in real-time using telematics, remote sensors, and mobile apps
- Risk management: Real-time alerts recommending interventions to prevent events while also rewarding cautious or responsible behavior
- Customer service: Handling customer queries using natural language chatbots or escalating complex issues to human agents
Claims
- First Notice of Loss: Flagging FNOL either through telematics or sensors or allowing policyholders to register FNOL using apps
- Total loss assessment: Policyholders can submit images or videos of the property that allow an AI-backed engine to assess the extent of the damage and recommend repair or declare a total loss
- Repair estimates: AI technology can identify the impact and severity of damage and compute an itemized repair estimate
Settlement
- Claim review: Automated claims processing involves retrieval and analysis of police reports, customer documentation, and sensor data
- Payment: Algorithmic approval with automatic and instant electronic payment directly to the policyholder’s bank account
- Salvage assignment: Facilitate and guide customers to the closest salvage yard for their requirements
- Fraud prevention: AI can detect fraudulent claims based on images/videos and even customer history and/or behavior
How to Address Touchless Claims Processing Challenges and Risk Mitigation?
While the benefits of touchless claims processing are compelling, the path to implementation involves navigating significant obstacles. Understanding these challenges upfront and developing mitigation strategies is essential for successful transformation.
1. Legacy System Integration
Most insurers operate on decades-old core systems that weren’t designed for digital integration. Connecting modern AI and automation tools with these legacy platforms requires careful planning, middleware solutions, and sometimes phased modernization approaches. The key is to identify integration points that deliver immediate value while building toward comprehensive system transformation.
2. Change Management and Organizational Resistance
Employees accustomed to traditional workflows may perceive automation as a threat to their roles. Successful implementation requires transparent communication about how touchless processing creates opportunities for higher-value work rather than eliminating positions. Early involvement of claims teams in the design process builds ownership and reduces resistance.
3. Data Quality and Availability
Touchless processing relies on clean, structured data. Many insurers discover that their historical claims data contains inconsistencies, gaps, or formatting issues that impede AI training. Investing in data cleansing, standardization, and governance frameworks before full-scale deployment prevents downstream accuracy problems.
4. Initial Investment Requirements
The upfront costs for technology platforms, system integration, and process redesign can be substantial. Insurers should develop phased implementation roadmaps that target high-volume, low-complexity claim types first, generating quick wins that fund subsequent expansion into more sophisticated use cases.
5. Regulatory Approval and Documentation
Insurance regulators may require detailed documentation of how automated decision-making algorithms work, particularly for claim denials or settlements. Building explainable AI models and maintaining comprehensive audit trails from the outset ensures regulatory compliance and facilitates approval processes.
Understanding these implementation hurdles sets the stage for developing a sound business case that accounts for both opportunities and risks.
Future-proof your insurance operations—start your touchless claims journey.
What Are the Regulatory and Compliance Considerations in Touchless Claims Processing?
Touchless claims processing operates within a heavily regulated industry where consumer protection, fair treatment, and transparency are paramount. Navigating this landscape requires proactive engagement with regulatory requirements.
I. Algorithmic Decision-Making and Fairness
Insurance regulators increasingly scrutinize AI-driven decisions to ensure they don’t inadvertently discriminate based on protected characteristics. Insurers must implement regular algorithmic audits, bias testing, and fairness assessments. Documenting how AI models make decisions and demonstrating that outcomes don’t produce disparate impacts on protected groups is essential for regulatory approval.
II. Data Privacy and Protection
Touchless processing involves collecting, storing, and analyzing significant personal information. Compliance with data protection regulations including GDPR in Europe, CCPA in California, and various state privacy laws requires robust data governance. Implement data minimization principles, obtain appropriate consents, and ensure policyholders can exercise their rights to access and delete personal information.
III. Audit Trail and Explainability
Regulators expect insurers to explain how claims decisions were reached, even in automated systems. Deploy AI models that provide decision explanations, maintain comprehensive logs of all system actions, and preserve the ability to reconstruct the entire claims journey for any individual case. This transparency builds regulatory confidence and protects against disputes.
IV. State-Specific Requirements
Insurance regulation varies significantly by state and jurisdiction. Some states require prior approval of rating algorithms, others mandate specific claims handling timeframes, and certain jurisdictions have restrictions on fully automated decisions. Develop a compliance matrix that maps your touchless processing workflows against requirements in each operating jurisdiction.
V. Consumer Disclosure Obligations
Many jurisdictions require insurers to disclose when automated decision-making is used. Craft clear, accessible explanations of how touchless processing works and provide policyholders with options to request human review when desired. Transparency in automation builds trust and satisfies regulatory expectations.
While full automation delivers efficiency gains, the most successful insurers recognize that certain situations demand human judgment and empathy.
What Lies Ahead for Touchless Claims Processing?
A staggering percentage of all consumer interactions will be handled by automated processes and AI to reduce costs and increase efficiency. While this may sound like an obvious benefit for consumers, it also presents opportunities for insurers who want to stay competitive in a rapidly changing industry landscape. Plus, we have already gone over the specific benefits of touchless claims processing.
Kickstart your Journey to More Efficient, Accurate, and Cost-Effective Claims
Touchless, automated claims processing has become so popular that many companies are already incorporating these technologies into their practices today. Others have already begun investing in them as part of their long-term strategy plan (LTP). Looking ahead to 2026, the key trends that are expected to transform automated claims processing are:
Integration of Blockchain Blockchain integration is expected to fortify security and transparency in claims processing, ensuring immutable records and a reduced risk of fraud.
Expansion of Internet of Things (IoT) Increased utilization of IoT devices is foreseen for real-time data collection, enabling insurers to access more precise and timely information for claims assessment and processing.
Generative AI for Enhanced Customer Communication Generative AI will enable more sophisticated customer interactions throughout the claims process, providing personalized updates, answering complex questions, and even generating customized documentation. These capabilities will enhance the customer experience while maintaining the efficiency of touchless processing.
Predictive Claims PreventionAdvanced analytics will shift focus from processing claims to preventing them. By analyzing patterns across IoT data, historical claims, and external factors like weather forecasts, insurers will proactively alert policyholders to risks and recommend preventive actions, reducing claim frequency while strengthening customer relationships.
Closing Lines
Since it is evident that touchless processing is the future of claims management, you would need a reliable insurance technology partner to navigate these uncharted waters. Fortunately, help is right around the corner. Get in touch with the experts at Damco and kickstart your journey toward touchless claims processing!
Case in Focus
A leading insurance adjusting firm in the US sought to transform its claims estimation process. To address the inaccuracies and human errors in their property claims estimation system, we developed a neural network for precise image-based property damage estimation. By integrating it with the firm’s existing software, we ensured seamless generation of error-free claim loss reports. This AI-driven approach eliminated errors, enhanced claims team productivity, accelerated report processing, and facilitated faster service to insurance carriers. For more details, refer to the complete case study.

