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Insurance CIO Outlook | Tuesday, April 04, 2023
Insurance companies need to be able to quickly process and pay out claims to maintain policyholders' trust and keep their business operations running smoothly.
FREMONT, CA: Deloitte estimates that around 70 percent of insurers' costs go toward claims processing. The efficiency of claims processing is negatively related to insurance fraud, which costs billions of dollars annually. When insurance firms process claims, customers can observe more transparency.
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In processing claims, you must interact with people frequently unhappy with their experience. EY discovered that nearly 90 percent of insurance clients consider switching their insurance provider if their final claims processing experience is unsatisfactory. The insurance sector's adoption of automation technology, which can remedy them, is lagging behind other sectors. This may be since almost 30 percent of insurance executives find it difficult to make agile technology-related investment decisions due to a lack of information.
Intelligent automation: Since intelligent automation combines RPA bots with AI capabilities, such as NLP and OCR, for filing documents or extracting data from existing documents, it is an effective claims processing tool. When a customer provides data, claims information, and supporting documentation, it is crucial to gather and verify them quickly. It is essential to use OCR technology to extract and understand all types of documents and combine them into one document.
Claims document processing: Insurers can also use NLP-capable bots to upload data to claims systems and categorize documents. NLP understands the context of papers so data uploading and document classification can be automated. By developing new policies for their product line, insurers can devote more time to activities that provide greater value.
Claims adjustment: A claims adjuster can be assured that all relevant information and supporting documentation has been gathered, checked, and sent to them using intelligent automation. The difficulty of a remote or physical adjustment can be computed using intelligent automation bots. Automating the hand-off process can be expedited if the claim incorporates outsourced adjustment services to control costs.
Fraud detection: Whether you employ internal artificial intelligence fraud detection technologies or cloud computing solutions offered by insurtech companies as an outsourcing solution, fraud detection processes must be incorporated into the whole claims management lifecycle. Consequently, you must incorporate data collection into your fraud protection system. Intelligent automation can help insurers improve their fraud protection capabilities by speeding up data integration.
Blockchain: The transparent data storage technology known as blockchain can benefit many insurance procedures, including underwriting, risk assessment, and fraud detection. However, smart contracts' benefits may favorably affect claims processing more than anything else in the insurance industry. A smart contract activates automatically when a predetermined code on a blockchain is triggered by an event such as a flood. Blockchain relies on third-party data sources or IoT devices called oracles to verify activity.
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