MIAMI, Dec. 9, 2020 /PRNewswire/ -- "My life insurance claim was denied!" Find real-life use cases in insurance and other industries, collected for your information and inspiration, and to help you get started with Intelligent Automation fast. | Phone: Accelerate Value in Your Business with Intelligent Document Processing, Maintaining Business Continuity with Intelligent Automation, Intelligent Automation for Document Processing, Automate Further with Intelligent Automation, Forrester: The Top TrendsShaping Anti–MoneyLaundering in 2020, intelligent process automation in the insurance, Beyond Limits: Scaling Intelligent Automation, 5 Ways Automation Simplifies Mortgage Income Verification, Intelligent Automation Solves Customer Onboarding Challenges, The Difference Between Robotics and Automation, medical certificates and reports (in case of life insurance or health insurance claims), photos of damaged baggage and flight boarding passes (in case of a travel loss claim), police reports, driver’s licenses and vehicle damage photographs (in case of an auto claim), data collection from external and internal sites, pre-population of data fields in internal systems, reviewing the history of customers’ claims and producing recommendations based on previous losses, download, classify, compile data from external sources, extract and analyze similar data from different sources (email attachments, transcripts, scanned agreements, etc. Existing policy-holders can submit various update requests, such as address change or update of bank mandate. 1 Permanent life insurance develops cash value that can be borrowed. To help you find these areas, we have launched a new discovery tool: Use Case Navigator. If the claim is complete, a cognitive bot would validate its information and mark it approved for payment. Let’s review some of these use cases and intelligent solutions available. Automating operations in legacy applications are great RPA use cases in insurance. Increase process efficiency and standardization by empowering your users to perform manual tasks digitally and reduce human intervention. There are several common insurance use cases where the implementation of intelligent automation can provide tangible results quickly and offer room to scale in the future. Remember that utilizing solely RPA for automation will not have tangible results, as it only will allow you to automate separate tasks included in the process. Claim settlement can become totally automated with Pega applying the industry’s leading business process and rules engines to drive down administrative costs while assuring 100% quality. However, the impact of these technologies on the sector is expected to be enormous, including: Intelligent process automation in insurance has the potential to help companies transform their business, become more profitable, and better adjust to market changes. We analyse your existing practices to identify opportunities for automation using traditional OCR capture technologies and/or Robotic Process Automation (RPA). Automated claims processing reduces the amount of manual work by 80% and improves accuracy significantly, cutting down the time necessary for the process by 50% — which allows companies to process twice as many claims with the same personnel. Streamline document processes across the claim handling lifecycle. Automation and robotics are often used as interchangeable terms, but this is not entirely correct. Using RPA, De-dup and AML like processes can detect right data to avoid fraud or suspicious data. The process is manual and time-consuming. The Future of Insurance: Claims Automation Claims processing is the cornerstone of any insurance business because it is the point at which an insurance company delivers on its commitment to its customers. A few examples of time-consuming manual work that AI-driven RPA can automate include name screening, compliance checking, client research and validation of customer data,  customer data security operations, and generation of regulatory reports and notifications. Fast and efficient claims processing is paramount to success for insurance companies — yet it’s often a time-consuming, highly manual process that’s frustrating for both insurers and customers. On the other hand, using intelligent insurance automation solutions that combine RPA with powerful AI capabilities will allow automation of the process end-to-end. Here we explore how insurers can reconfigure operating models and adopt a more customer-centric approach to capitalize on the opportunities unlocked through cognitive technologies and robotic process automation. Automate claims more confidently. As a result, customer experience is improved as the back office functions are performed fast and with fewer errors, delays, and annoying back-and-forth communication with customers. Our Insurance Claims Automation Solution is designed to automate claims management processes, even in areas such as home and household insurance in which automation has been hitherto rare. Within the Life insurance market, however, this is often a strongly debated point. Have us receive claims on your behalf. Every day, insurers have to deal with massive volumes of data in various paper and electronic formats. This means insurance companies can automate 50 to 60 percent of their back-office operations. Implementation of new software, such as BPM or ERP systems, often requires replacement of the existing hardware and employee retraining — which are significant investments of time and money. A broader application of automation in insurance policy management can help transform other document-intensive operations, including the processing of loss run reports, analysis of the statement of value reports, communicating explanations of evidence of insurability to customers, and other processes. McKinsey claims that automation and digitalization define the main potential of the industry. It’s time to accelerate your life insurance claims workflow. © 2021 WorkFusion, Inc. All rights reserved. You’ll be surprised by the greater efficiency you’ll create when you streamline and automate your life insurance claims case management processes. Insurance companies are only starting to launch pilot automation programs, with both RPA and Intelligent Automation. Claims Automation Service Options DCS makes paper, fax, e-mail and electronic documents ready to action by your claims team or external adjusters or legal partners. Reduce overall claim operations costs associated with manual processing. Pega’s unique process-driven approach simplifies and orchestrates your most complex life claims process. Overall, the potential for automation in the insurance industry is limitless. Claims Processing brings large amount of information to be processed manually from different sources for verification and settlements. Streamline and centralize your key business functions, including customer onboarding, claims processing, underwriting, and policy administration with our insurance-specific applications, built upon a robust low code digital automation platform. Xerox® and PrimeLink® are trademarks of Xerox Corporation in the United States and/or other countries. Solutions for Life & Annuity Insurance. The policy has to be issued, and information needs to be updated in internal systems and communicated to the customer. You will begin with a focus on simplifying your existing processes. It is early days, but life insurers are looking at automation in claims and underwriting. For example, when processing a First Notice of Loss request, an RPA bot would extract the information from the request and enter it into the claims system. When compared to automation solutions using only the power of RPA, applying Intelligent Automation and AI in insurance operations helps achieve a faster ROI and see benefits that are unattainable with pure RPA. They were able to automate what had been the manual entry of claims data by empowering their bots to validate death certificates on government websites. In specific cases, RPA can help in this effort. One more common insurance use case for Intelligent Automation is the whole cycle of policy management operations, including policy issuance and updates. For example, someone might file an auto insurance claim immediately after their accident while they’re still on the road. Implementation of intelligent solutions to automate insurance underwriting can significantly speed up such functions as: Of course, the list of RPA and AI use cases in insurance is much broader. The cognitive part of the work will be automated, and also exception-handling capabilities will be provided through a human-in-the-loop approach (20–30% of automated processes require exception handling). One insurance company slashed the cycle time of its life-insurance claims processing by 40 percent. RPA bots can use existing user interfaces, which means there is minimal or no need to change current legacy systems. Automation can be a game-changer strategy for insurance companies. Repetition of the same routine tasks over and over again hinders human concentration, resulting in errors and creating serious inconsistencies in company records. About 60 percent of insurance clients … Life insurance claims RPA use-case example. Insurants are not satisfied with their service providers. The Claim Administrator software simplifies the claim process for the insurance company and it is also called as “Claim Management System”. At the stage of policy issuance, pre-underwriting checks have been done, and the underwriting decision has already been made. Streamline document processes across the claim handling lifecycle. One of the most significant benefits that Intelligent Automation can bring is creating a framework for enterprise-wide scaling of automation and digital transformation. Building a scalable automation program may seem easy in theory: You just need to add more bots over time. Intelligent process automation in insurance is the key to helping companies improve compliance because this eliminates the need for human personnel to go through a legion of routine manual operations that are highly prone to errors and, therefore, raise the risk of compliance breaches. Drive Intelligence, Acceleration and Cost Efficiency. It involves gathering and analyzing information from multiple sources to determine and mitigate the risks associated with the chosen policy, for example: The whole process can take weeks. RPA benefits in insurance (Image credit) A couple of years ago, Zurich Insurance Group, Switzerland’s largest insurer, saw the potential in RPA. Our life insurance claims management solution can help life insurers manage and optimize all aspects of a claim, from early assessment through investigation and close. MLINY110520303-2 For one, because it brings great relief for those working on customer focused tasks. Additionally, automation can reduce the cost of processing insurance claims by as much as 30%. If there is missing data, the task is routed to an agent to perform, and the bot observes how the agent handles this exception and “learns.” When the agent returns the claim to the workflow, a bot automatically sends the verified request for payment. Across different geographies and sometimes even within the same company, various processes are in various stages of digitization and many can be at least partially automated. Since life insurance products can provide a stable “cash inflow” for an insurance company, there is a trend that insurance companies market various life products, such as investment-linked life products, savings life products and critical illness protection, in order to … Recent surveys on healthcare profit/loss ratios indicate that claims payments account for 60 to 110% of premiums. Drive productivity with Intelligent Automation Cloud. Naviant has deep experience with Life Insurers who manage high-volume new business, underwriting, and claims processing. It also tracks progress, and identifies and escalates claims-related issues. Collecting and organizing vast data sets. WorkflowGen. Insurance companies have to comply with a significant number of regulations. Xerox Business Innovation Partner Program, Workflow Automation - Claims Case Management (Life). But this is challenging to achieve in practice. All rights reserved. We explain how they differ. These figures underscore the importance of managing the healthcare claims process efficiently in order to realize any profit at all. Compliance breaches result in financial and operational damages to companies. While RPA is a first step, automation is expected to be increasingly driven by cognitive technologies in insurance. Policy loans accrue interest and unpaid policy loans and interest will reduce the death benefit and cash value of the policy. Back-office automation. Insurance products are issued by: John Hancock Life Insurance Company (U.S.A.), Boston, MA 02116 (not licensed in New York) and John Hancock Life Insurance Company of New York, Valhalla, NY 10595. Swiftly responding to customer requests. During this time of emerging “born-in-tech” insurance providers that are fast to react to changes in the market and in customer behavior, increasing pressure to speed up cycle times, reduce expenses and improve customer experiences becomes the new normal for traditional insurers. Workflow Automation for Claims Case Management can help life insurers: View the Claims Case Management for Life Insurers brochure (PDF, 518 KB), Read about Claims Case Management for Property & Casualty Insurers ›. From windscreen damage claims in the P&C market to automated approvals for pregnancy claims within the Disability market, insurers appear increasingly willing to automate higher volumes of claims using zero-touch or straight-through processing. Due to these difficulties, many insurance companies are forced to stick to the old systems, although they no longer provide the support required for company development. One of the critical factors for the success of automation in the insurance industry (and any other industry, for that matter) is selecting the correct use cases. A solution to these problems lies in intelligent customer onboarding automation. Learn more in our free white paper, “Beyond Limits: Scaling Intelligent Automation.”. Automate the entire claims journey, from omnichannel intimation of the first notice of loss, to fraud detection and claims adjudication, and finally claims settlement. Introducing intelligent bots provides a solution to these automation challenges, allowing you to not only scale the number of bots deployed, but also the quality and complexity of the work they perform. Successful implementation of an intelligent automation program can be incredibly beneficial for an insurance company, potentially allowing an enterprise to: Regarding costs, a 100% return on investment can reasonably be expected within the first year of implementation, and that’s likely to multiply in the years to follow. Enable secure online sharing of claims and policy documents. ... Our AI-native claims automation solution leverages powerful fraud detection capabilities to keep fraud out of the picture. The Xerox® Workflow Automation Solution for Claims Case Management helps life insurance carriers, third-party administrators and other organizations automate the workflow surrounding a case. It also tracks progress, and identifies and escalates claims-related issues. What are the areas most suited for end-to-end process automation in insurance? Robots, on the other hand, excel in this aspect. Increase operational efficiency by integrating customer information systems. Workflow Automation for Claims Case Management can help life insurers: Reduce overall claim operations costs associated with manual processing. RPA bots create links between legacy and new systems without coding. This in turn has additional advantages to offer. Emerging technologies such as Software Robotics, Machine Learning, AI and Cognitive Solutions, offer exciting ‘Automation’ possibilities for Insurers, to dramatically improve their profit margins, as well as transform customer experience. Most processes in insurance are unstructured, high-volume, and are ultimately too complicated for traditional RPA. Customers benefit significantly from faster claims processing—for instance, through automated verification of car repair estimates and invoices as well as automatic reimbursements as soon as the repair invoice has been verified. This data allows insurance companies to monitor regulatory compliance in real time through internal reviews and be prepared in case of external audits. Naviant’s focus on process first is key to your success. It was incorporated in September 2007 with the objective of actively protecting and enhancing people’s lives. In this case, they may need someone to tow their car. Insurance automation solutions for policy updates use machine learning to extract inbound changes from voice transcripts, emails, faxes, or other sources and make all required changes in the documents and internal systems. This results in increased TAT and errors in the process. Fewer false positives lead to more productive investigations and improved loss ratio. Amongst the fastest growing life insurance companies for 2 consecutive years, Future Generali India Life has secured over 13.8 lakh people’s future with 95.15% claim settlement ratio. Without automation, claims adjusters would read through all of the records they collected and manually enter the necessary information into the system. Property and Casualty Claims Processing Automation > Automate the insurance claims process to drive efficiencies and keep customers engaged and informed. The Morgan Stanley and BCG studies claim that insurance companies tend to provide poor customer experience. Traditional automation links isolated systems and optimizes business processes to bolster efficiency through quality improvement, time savings, and reduced costs. Enable secure online sharing of claims and policy documents. Typically, claim processing takes several days as insurance agents have to gather and check data from multiple sources, such as: It may take even more time due to human errors, like mismatched financial data or customer details. However, that can only be achieved when the most valuable automation use cases are selected. With the rise of digitization and machine learning, insurance activities are becoming more automatable and the need to attract and retain employees with digital expertise is becoming more critical. Outsource claim handling as a fully managed service. This may be the worst news someone could receive while grieving the … From underwriting to customer service, apply the power of Robotic Process Automation and Artificial Intelligence ( RPA+AI) in insurance to the most mundane yet complex activities including: Data extraction from a wide array of documents. Customer onboarding times are increasing despite the banks’ best efforts. Ms Heyhoe says if automation is used correctly the adviser retains an active role in the discussion. Health and Injury Claims Automation > Streamline the digitization, validation, conversion and intelligent routing of paper medical claims. Such delays may result in the loss of customers and other financial and reputational damage to the company. How an insurance company can automate claim processes. While life insurance claims processing costs remain comparatively low, other types of insurance—health, property, casualty, accident, auto and workers comp—are significantly higher, with health insurance typically topping them all. Automation is the lever that can help transform your operations, radically elevate your employee satisfaction, and improve your customer journey. Intelligent Automation makes it easier to access the data needed to make better, faster lending decisions, such as mortgage lending income verification. Insurers can achieve the greatest efficiency gains by fully automating back-office processes. It’s time to accelerate your life insurance claims workflow. All these processes involve a lot of manual work. To achieve success, you’ll focus on the process first. The Xerox® Workflow Automation Solution for Claims Case Management helps life insurance carriers, third-party administrators and other organizations automate the workflow surrounding a case. Improve processing cycle times and improve customer satisfaction goals. Automation in Insurance. Oddly enough, claims processing in the modern insurance space remains a manual, inefficient, error-prone operation. Discover more epic real-life examples of business process automation from organizations around the world. ), bring down the cost of automated job functions by 30–40%, while doubling their efficiency, achieve up to 80–90% accuracy improvement, free up to 30% capacity at the enterprise level, increase overall business productivity and profitability by up to 50%. Implementing an automated claims processing workflow, including claims intake, assessment, and finally, claims settlement, eliminates friction and cost by combining RPA, machine learning, and human expertise to streamline and speed up claims-related operations. RPA bots can imitate human clicks and keystrokes, which makes them easy to implement in addition to the existing software and hardware. Unfortunately, overflow of routine back-office operations, heavy reliance on manual work, and outdated methods and legacy systems make achieving these goals difficult. But where to start an automation program? To process a claim, an agent must gather data from multiple sources and enter it into a database. You can find all insurance automation use cases here →. There’s also the issue of cycle ti… We detect potential fraud in insurance claims with a 75% hit rate. Pre-built RPA and AI use cases can be used to automate insurance policy issuance, thus significantly reducing the amount of time and manual work required for it. Fukoku Mutual Life Insurance believes it will increase productivity by 30% and see a return on its investment in less than two years. With the advent of robotic process automation in insurance, large volume claims types can be carried out with only a third or half the people required when the process was manual. Underwriting is another insurance use case that is ripe for automation. AI combined with robotic process automation can process a wider variety of documents more precisely, and can automate insurance processes end-to-end: Insurance companies still rely heavily on legacy apps and various programs and systems for managing business operations. AI-based insurance automation solutions ensure the accuracy of data and maintain a complete log of their actions. They switch between various systems and applications and conduct claims processing, underwriting, customer service, onboarding, and other operations — all at the same time. Adoption of intelligent process automation in the insurance industry is believed by many to be the solution to these challenges, and it is already transforming the industry. The insurance industry— traditionally cautious, heavily regulated, and accustomed to incremental change—confronts a radical shift in the age of automation. Amendments to these regulations often force insurers to reorganize their business processes to adapt. Improve processing cycle times and improve customer satisfaction goals. © 2021 Xerox Corporation. The RPA market has been growing at breakneck speed and is expected to reach US$5 billion in 2020. Insurance premium accounting RPA use-case example. These claim management software’s start their workflow from initiation of claim till the final claim settlement. THE SOLUTION Pega Claims for Life Insurance empowers examiners to focus on claimant needs while streamlining the flow of claims across the organization. While the banking and financial services domain embraced this trend long ago, the adoption of automation in the insurance industry has been much slower. Implementing an automated claims processing workflow, including claims intake, assessment, and finally, claims settlement, eliminates friction and cost by combining RPA, machine learning, and human expertise to streamline and speed up claims-related operations. 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