Session review
Life insurance discovery
- Customer persona
- New parentWants family protection; concerned about affordability
- Conversation goal
- Understand needs before recommending cover
- Practice mode
- Guided conversation
- Open with the customer’s priorities
- Ask about dependents and existing cover
- Acknowledge concerns about cost
- Agree on a follow-up conversation
NÜRNBERGER Versicherung is a German insurer selling products such as car and life insurance. It introduced AI customer simulations to prepare new sales agents for real client conversations. The published case study reports $728,900 in annual classroom-training savings and more than 10× ROI on the training investment. The savings come from reducing training costs, with further savings from lower agent turnover excluded from that figure.
Training investment was being lost to attrition
Training new insurance agents was expensive, and 18% dropped out during onboarding. Agents needed more opportunities to practice product knowledge and sales conversations before working with customers.
Fewer agents lost during onboarding
Practice with simulated customers
AI simulations create product-specific conversations and provide feedback. Agents can rehearse repeatedly before real meetings, while training teams shape the scenarios and evaluation criteria.
Lower training costs and more practice
The published case study reports over 10× ROI and $728,900 in annual training savings. Onboarding attrition fell from 18% to 5%, and agents completed up to seven times more practice role plays.
Training results
The reported return reflects the training program as a whole, including training expertise and evaluation. The full investment breakdown is not public.
- Reported ROI
- Over 10×
- Onboarding attrition
- 18% → 5%
