In a study by KPMG, 62% of CEOs believe talent gaps could negatively impact their organization over the next three years. In the same study, 74% of insurance CEOs say they are confident in their company’s growth. When revenue is coming in and your workforce can’t handle the shift, it’s time to take a second look at talent.
Claims processing automation, data tools, and AI can all help speed up workflows, but employees need to understand how these AI tools work in order to make informed decisions that serve organizational goals. Growth without the right workforce can cause operational strain and burnout – but today’s claims processing automation, data, and AI tools can help your organization’s talent keep up.
How Do Insurers Bridge the Gap?
Trends like rising adjuster turnover, an aging workforce, and an increased volume of claims have all put pressure on insurance carriers. Claims adjusters, examiners, and investigators ranked 12th for fastest declining jobs by 2030. Longer review periods, backlogs, and added exposure in bodily injury or litigation heavy claims can all put pressure on organizational costs. All of this places stress on the organization’s goals and outputs.
At the same time, the shortage of AI adoption and analytics skills is adding pressure that is not needed. For instance, Wisedocs survey report found that 58% of claims professionals say they either don’t use AI at all or aren’t sure if their organization does. Existing claims, underwriting, and operations teams can all benefit from the speed and power of AI and claims processing automation and AI, but training is necessary to capture all of this potential. With the right training, teams become AI-assisted professionals – performing tasks much faster, easier, and more accurately than they could without these claims processing automation tools, filling gaps in organizational capacity, and reducing dependence on scarce pockets of organizational talent.
Claims Processing Automation Adoption in Claims
So how are insurers closing capacity gaps? By adopting AI enabled workflows and claims processing automation, organizations can do more with less. At its core insurance, involves gaining an accurate understanding of risk – which inherently involves data. AI is uniquely suited to seek out patterns in this data and make use of them. With the latest advances in AI medical document processing and agentic AI adding new and unprecedented levels of automation, insurers are using AI in all core areas, including claims management, customer service, and underwriting.
Technology adoption should also be practical. It isn’t enough to roll out new AI medical record tools for your team – teams should be trained with hands-on exposure to real scenarios and the solutions that work best to support them. Technology and claims automation processing AI can help teams reduce duplicated work, speed up indexing and organizing, and sort files chronologically. All of these tools help use your team’s talent to its maximum potential – scaling accurately and consistently, while operating with better efficiency.
Workforce development is essential, and employees need learning opportunities to bring in guided practice, real world scenarios, and coaching. Investing in AI-enabled workflows and claims automation processing solutions helps your organization close a very real gap between organizational capacity and the potential for growth. Ultimately, this leaves more revenue on the table.
If you’re looking to get ahead of the talent gap and modernize the way your organization handles claims, check out our Enterprise Claims Guide to learn more.
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