Meian Kikaku Launches Official Version of "Mokutore AI," a Practical Mock Training Service to Improve Dialogue Quality for Insurance Solicitors
Meian Kikaku Co., Ltd. has released the official version of "Mokutore AI," an AI-powered mock training service for insurance solicitors. The service supports the improvement of sales representatives' dialogue quality by having an AI analyze audio from practical conversation practice and provide feedback in about 90 seconds. A key feature is that it can be done in a short time, regardless of location.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 19:00
- 🔍 Collected: April 7, 2026 at 10:30
- 🤖 AI Analyzed: April 20, 2026 at 23:54 (325h 23m after Collected)
Meian Kikaku Co., Ltd. (Headquarters: Chuo-ku, Tokyo; hereinafter Meian Kikaku) has launched the official version of its practical mock training service "Mokutore AI" for insurance companies and agencies, starting from April 7, 2026.
Mokutore AI is not a script-based role-playing exercise but a practical mock training conducted impromptu by a pair, with only customer attributes and meeting scenarios set. When audio is recorded on a web browser, an AI analyzes the content and provides specific feedback in about 90 seconds. It is compatible with both PCs and smartphones, designed to be easily repeatable in short periods and seamlessly integrated into daily work.
This official version is an improvement for on-site usability, building on the operational efficiency, effectiveness as pre-negotiation preparation, and practical feedback identified through the beta version. The feedback content has been fine-tuned based on advice from AI researcher Ryo Shimizu.
## The Essence of Quality Improvement Lies in "Dialogue Quality"
The insurance industry is advancing efforts to improve quality. However, Meian Kikaku believed that improving easily measurable indicators alone might not fully capture the quality of the customer contact point itself.
Our conclusion is clear: The quality of insurance services resides in the dialogue itself between the frontline solicitor and the customer. The essence of quality that customers feel lies not in pushing a predetermined product, but in understanding needs through conversation and proposing solutions for those needs.
## The Gap Between "Understanding" and "Practice" That Training Alone Cannot Fill
The insurance industry has offered many opportunities for training and classroom learning on customer service and product proposals. However, there is a large gap between what is understood and what can be done naturally in an actual business negotiation.
Furthermore, while solicitors who provide highly satisfactory services practice high-quality dialogue, much of it is tacit knowledge, and in many cases, they cannot clearly articulate what makes customers feel at ease, convinced, and ready to take the next step.
Therefore, Meian Kikaku believed that what is needed is not just to deepen understanding, but to internalize it through repeated practice, making tacit knowledge replicable.
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## Articulating Customer-Centric Dialogue from Over 1,000 Practice Data Points Over Two Years
Based on this awareness, Meian Kikaku has spent two years conducting practical role-playing with insurance solicitors, accumulating and analyzing over 1,000 practice data points from both customer and sales roles.
What became apparent was the reality that fluent product descriptions do not necessarily equate to the customer feeling they "understood" or "were convinced."
From the customer's perspective, there were many dialogues where it was unclear:
- Why is this product being recommended to me?
- What are my problems?
- Which problem does this proposal solve?
Based on the organization and analysis of this practical data, Meian Kikaku has framed a customer-centric dialogue, which is our unique "CANVAS method."
Mokutore AI is not a script-based role-playing exercise but a practical mock training conducted impromptu by a pair, with only customer attributes and meeting scenarios set. When audio is recorded on a web browser, an AI analyzes the content and provides specific feedback in about 90 seconds. It is compatible with both PCs and smartphones, designed to be easily repeatable in short periods and seamlessly integrated into daily work.
This official version is an improvement for on-site usability, building on the operational efficiency, effectiveness as pre-negotiation preparation, and practical feedback identified through the beta version. The feedback content has been fine-tuned based on advice from AI researcher Ryo Shimizu.
## The Essence of Quality Improvement Lies in "Dialogue Quality"
The insurance industry is advancing efforts to improve quality. However, Meian Kikaku believed that improving easily measurable indicators alone might not fully capture the quality of the customer contact point itself.
Our conclusion is clear: The quality of insurance services resides in the dialogue itself between the frontline solicitor and the customer. The essence of quality that customers feel lies not in pushing a predetermined product, but in understanding needs through conversation and proposing solutions for those needs.
## The Gap Between "Understanding" and "Practice" That Training Alone Cannot Fill
The insurance industry has offered many opportunities for training and classroom learning on customer service and product proposals. However, there is a large gap between what is understood and what can be done naturally in an actual business negotiation.
Furthermore, while solicitors who provide highly satisfactory services practice high-quality dialogue, much of it is tacit knowledge, and in many cases, they cannot clearly articulate what makes customers feel at ease, convinced, and ready to take the next step.
Therefore, Meian Kikaku believed that what is needed is not just to deepen understanding, but to internalize it through repeated practice, making tacit knowledge replicable.
---
## Articulating Customer-Centric Dialogue from Over 1,000 Practice Data Points Over Two Years
Based on this awareness, Meian Kikaku has spent two years conducting practical role-playing with insurance solicitors, accumulating and analyzing over 1,000 practice data points from both customer and sales roles.
What became apparent was the reality that fluent product descriptions do not necessarily equate to the customer feeling they "understood" or "were convinced."
From the customer's perspective, there were many dialogues where it was unclear:
- Why is this product being recommended to me?
- What are my problems?
- Which problem does this proposal solve?
Based on the organization and analysis of this practical data, Meian Kikaku has framed a customer-centric dialogue, which is our unique "CANVAS method."