
AI automates thank-you messages, reducing staff workload and improving efficiency.
1. Issue: The Effort of Writing Thank You Notes for Visitors
A membership-based gym chain with 30 locations across Japan offers a successful free trial program that significantly contributes to new member acquisition. While member management is centralized, each branch handles free trial registration and management independently.
The Kyoto branch has implemented a unique workflow system that includes a web form for trial sign-ups and automated booking confirmation emails. After a free trial, reception staff ask visitors about their interest in joining. However, many attendees don’t commit on the spot and prefer to decide later. This makes sending a prompt thank you email crucial to keep their interest high.
It’s been observed that sending a personalized thank you email, including a message from the assigned trainer, on the same day as the trial has significantly improved visitor impression and led to an average 5% increase in membership conversion rates. The thank you email sending function is also integrated into the workflow system.
Despite its proven effectiveness, the current process of trainers individually crafting these thank you messages is time-consuming and labor-intensive, leading to increased overtime hours. Furthermore, this task presents a significant psychological burden for trainers who struggle with writing. Therefore, efficiency is urgently needed to maintain the positive impact on conversion rates without overworking staff.
2. Solution: Automating Thank You Message Generation with AI
The process owner will revamp the workflow to enable automatic thank you message generation using AI (ChatGPT).
Based on these inputs, the AI will automatically generate the thank you message. This change eliminates the need for trainers to compose messages themselves.
Automating thank-you messages reduces workload and stress for trainers, improving productivity and overall business efficiency.
Before




View details of the workflow diagram
3.Membership Confirmation
We’ll confirm your membership after your trial session concludes today.
4.Post-Trial Thank You (If Membership is Pending)
The assigned trainer will enter feedback for the trial participant, limited to approximately 100 characters.
A thank-you email containing feedback from your assigned trainer will be sent to all visitors.
5.Delayed Membership Enrollment
Should a visitor express a desire to join at a later date, we’ll process their membership enrollment. (This option will automatically expire after a set period.)
Post-Trial Review
Trainers who provided the free trial will check the membership outcome (whether the visitor joined or not) and enter their reflections.
After




View details of the workflow diagram
3.Membership Confirmation
We’ll confirm your membership after your trial session concludes today.
Keyword Entry (If Membership is Pending)
The assigned trainer will enter three keywords gathered from the visitor during the consultation.
AI will generate the thank-you message.
Review Message
The reception staff will review the generated message and make minor wording adjustments.
A thank-you email containing feedback from your assigned trainer will be sent to all visitors.
5.Delayed Membership Enrollment
Should a visitor express a desire to join at a later date, we’ll process their membership enrollment. (This option will automatically expire after a set period.)
Post-Trial Review
Trainers who provided the free trial will check the membership outcome (whether the visitor joined or not) and enter their reflections.


3. Customers Case Study
Honda Motor Co., Ltd.
Used for Company-wide Approval Flows such as general affairs applications, training recepti…
View MoreToho Gas Network Co., Ltd. (Negotiation and Design Section)
500 Applications Per Month Completely Digitized! Reduced Labour and Eliminated Printing and…
View MoreNippon Light Metal Co., Ltd.
Enhanced Quality Assurance through Visible Progress: A Continuous Improvement Cycle
View More4. Other Business Applications
We will enable AI-based reviews for the following tasks:
Reviews of proposals for customers
Reviews of internal business regulations
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