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AI For Insurance

The insurance industry is in the midst of an AI revolution. From how claims are processed, to the management of customer relationships, to improvements in recordkeeping and billing accuracy, AI is being integrated into every aspect of the insurance industry.

Traffic Jam

Insurance
AI Trends

Risk 

Assessment

By integrating AI into the risk assessment process, insurers are able to identify trends and patterns that would escape a human underwriter. With AI, insurance companies are also able to include real-time information in calculating risk, regularly refining the models by which they make insurance decisions. NextState AI is here to help insurers minimize their exposure by capturing hidden relevant data, such as driving performance, that was previously unavailable as a factor in risk assessment.

Claims

Processing

The insurance claims process is complicated, time-intensive, and error-prone. AI promises to revolutionize insurance claims in nearly every way. From faster processing, to better accuracy and greater volume, to enhanced compliance capabilities, the NextState AI team understands how to add generative AI to the insurance value chain. We can help you reduce costs, improve your record-keeping, increase your operational accuracy, and deliver a new level of customer satisfaction to your policy holders.  

Fraud

Prevention

Fraud in the insurance industry is widespread and a major contributing factor to the rise in premiums. Whether it's identifying staged accidents, inflated claims, instances of identity theft, or doctor-involved fraudulent billing, the NextState team of experts can help you devise strategies to protect the integrity of your insurance processes, while delivering fair and consistent service to all policyholders.

Back-Office

Operations

In addition to front-office operations (e.g., sales/marketing, customer service, etc.), AI is dramatically altering insurance industry back-office operations. Picking up where robotic process automation (RPA) leaves off, AI not only can be used to automate most back-office tasks, but can also reliably deliver work products and complete tasks with fewer errors and greater accuracy than  the human equivalent. 

For More Information

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Sameer Kohli, Practice Leader | Financial Services

McKinsey & Company | The Wharton School
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