NongHyup Life Insurance
AI recommendations for insurance coverage proposals
NongHyup Life reported insurance proposal recommendations in about 5 seconds
Problem
Insurance proposals depended heavily on individual agents' experience. Complex product and rider conditions created inconsistent proposals and application errors.
Approach
NongHyup Life and LG CNS jointly built an AI system that learned from existing data and recommended products and riders for customers. Product, underwriting and sales teams participated from the start. The system analyzed application rules and relationships between products.
Results
Takeaway
Agent participation grew rapidly after introduction. The insurer did not disclose a measured reduction in application errors.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Insurer and LG CNS representatives described their jointly built recommendation system. The insurer reported inference in about 5 seconds and at least 500% growth in participating agents within 3 months.
Full details are in the original sources.