AI Resilience Report forInsurance Claims and Policy Processing Clerks

Many parts of claims clerk work are routine and already being automated or aided by software. For example, insurance firms now use AI tools to handle paperwork and data entry: systems can scan claim forms (using OCR), fill databases, update policies, and even send emails to agents about cancellations. Industry reports note carriers are “implementing AI into different aspects of the claims process” such as reviewing paperwork and communicating with policyholders ^[1].

A McKinsey report finds insurers using AI in “augmented claims management” and even voice-robot customer service ^[2]. This means chatbots or voice assistants can answer simple questions and route calls, letting clerks focus on unusual issues. In short, highly repetitive tasks like transcribing data into spreadsheets, posting information to files, and preparing routine forms (core to the job) are increasingly done with RPA or AI helpers ^{[3] [2]}.

However, tasks needing real judgment or empathy – like talking through a complex claim with a customer – remain largely human. Insurers typically use AI to aid workers, not replace them outright: software might draft a notice or summarize coverage, then a person checks it.

Insurance companies have good reasons to automate fast – the technology is available and savings can be big – but also reasons to move cautiously. Software for data processing, OCR, and chatbots is widely sold, so firms can try tools without huge upfront costs. Even saving a few positions adds up: Bureau of Labor Statistics data show about 240,000 claims clerks earn a median ~$47,000 ^[4], so automating some work can quickly lower expenses.

McKinsey warns insurers that AI is becoming a competitive must-have ^[2]. In fact, BLS projects a slight decline (~4%) in these jobs by 2033 ^[3], reflecting efficiency gains. On the other hand, insurance work is highly regulated and customer-trust is critical.

Companies are careful to keep humans supervising decisions and handling complex calls. Socially and legally, customers often expect a person to guide them through a claim.