Insurance Claims and Policy Processing Clerks

Many routine clerical tasks in insurance are already aided by computer systems. For example, AI tools can read and fill in claim forms from scanned documents or chatbots can handle simple customer messages ^{[1] [2]}. One Reuters report noted that insurers use AI to automate paperwork and data checks in claims, speeding up processing while still involving humans for final decisions ^{[3] [1]}.

Industry surveys confirm that insurers are using AI today: about 45% report using AI in claims processes and 67% in customer service ^{[2] [1]}. At the same time, experts emphasize that AI mostly takes care of steady, repetitive parts of the job. It acts as a helper by doing mass data checking (like verifying ages, addresses, coverage from applications) or sending routine notifications, while people handle complex cases or customer care ^{[3] [1]}.

O*NET notes that clerks often “process and record” policies and “review and verify data” ^[4]. Today, software can assist with those tasks (for example, using OCR and rules to flag missing info), but humans still oversee the work.

Insurers have strong reasons to adopt AI quickly for these tasks. Automated systems can save time and money on large volumes of paperwork, which appeals to companies facing tight budgets and fast customer service expectations ^{[1] [2]}. Many large insurers are already investing heavily in AI systems for claims and policy management to stay competitive.

On the other hand, adoption can be cautious because insurance is heavily regulated. Insurers must be careful with data privacy and must still meet strict rules when approving claims ^{[3] [1]}. Social trust also matters: many people feel more comfortable with a human reviewing their insurance policy or claim, especially if something is wrong.

As a result, most experts see AI as a tool to assist insurance clerks, not fully replace them ^{[3] [1]}. Human skills like clear communication, judgment, and empathy remain valuable, so trained clerks can focus on solving problems and helping customers while AI handles repetitive steps.