South Korea’s Life Insurers Set 17 AI Projects for 2027

Int'l Insurance Desk: The Korea Life Insurance Association has set an ambitious target of rolling out 17 artificial intelligence projects by 2027 after launching three new systems this month. According to a report from Insurance Asia, the association introduced tools for complaint management, advertisement review and internal regulation searches, marking the first steps in a broader push to bring AI deeper into everyday industry work.

The Complaint Management AI turns customer consultation content into text in real time, sorts the complaints by type and supplies counsellors with suggested responses and background information. The Ad Review AI carries out an initial check of advertisements against the association’s own rules and standards, though staff still make the final call. The Internal Regulation AI searches through the association’s 136 internal rules and pulls up the relevant clauses along with the legal basis that supports them.

Later this year the association plans to add an AI system that helps generate questions for the insurance agent registration qualification exam. Looking further ahead, the roadmap includes tools for legal review, disclosure data verification, article clipping, contract review, translation of overseas materials and statistical verification.

Kim Cheol-joo, chairman of the Korea Life Insurance Association, said AI needs to move past simple assistance with internal tasks and become a way to deliver better service to consumers and member companies. An industry official pointed out that the insurance sector is packed with repetitive review work covering products, terms and regulations, and that once security and accuracy are locked in there is clear scope for productivity gains through AI.

The association’s move comes as life insurers across the region look for practical ways to cut routine workloads while keeping human oversight in place. Whether the full set of 17 projects lands on schedule will depend on how smoothly the early systems perform and how quickly the remaining tools can be developed and tested, but the direction shows a clear intent to embed AI more firmly into the day-to-day running of the industry.