[Case Study] TOPPAN Corporation Implements ailead: AI Feedback Feature Reduces Talent Development Man-Hours from 24 Hours to 1 Hour Per Month

TOPPAN Corporation has implemented ailead, an AI-powered conversation data platform, successfully reducing talent development man-hours from 24 hours to 1 hour per month through its AI feedback function, while also meeting TOPPAN's stringent security standards.

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  • 📰 Published: April 2, 2026 at 19:00
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ailead Inc. (Headquarters: Minato-ku, Tokyo; Representative Director: Hiroki Sugiyama; hereinafter "the Company"), which develops and provides the conversation data AI platform "ailead," announced the publication of a case study on the implementation of its service at TOPPAN Corporation (Headquarters: Bunkyo-ku, Tokyo; President & Representative Director: Satoshi Ohya; hereinafter TOPPAN).

View Case Study Article

ailead Utilization Case at TOPPAN Corporation

■ Background of ailead Implementation

At TOPPAN's Lifestyle & Industrial Business Division, SX Promotion Center, the number of internal and external meetings and business negotiations increased with business expansion. In the service expansion phase, it became common to hold multiple meetings and negotiations daily, making it difficult to secure sufficient time for organizing, sharing, and reviewing conversation content.

Initially, meeting minutes were created manually after discussions, but the increasing volume led to a higher workload, making it difficult to fully utilize conversation data.

Information that should have been used for improvement and training often stalled at the organization and confirmation stages, posing a significant challenge. Against this backdrop, TOPPAN began considering the introduction of a platform that could streamline the organization and review of meeting content and accurately utilize conversation data.

Therefore, TOPPAN sought to implement a platform that not only records meeting content but also structures conversation data, streamlining review, improvement, and the design of next actions. ailead was chosen for its ability to provide end-to-end solutions, including transcription, summarization, and AI-driven analysis and feedback.

■ Challenges Before ailead Implementation

Challenge ① Increased workload due to inability to keep up with information sharing and utilization of meetings/negotiations

With business expansion, internal and external meetings and negotiations increased, leading to multiple meetings daily. As a result, it was difficult to secure sufficient time for organizing and sharing meeting content, often leading to delayed responses. The burden of accurately recording information and sharing it among stakeholders accumulated, increasing the overall workload.

Challenge ② Difficulty in improving discussion quality due to simultaneous demands for dialogue and recording

During meetings and negotiations, too much attention was paid to taking notes to record every utterance, often preventing participants from fully grasping the flow of discussion or key points. This sometimes resulted in meetings ending without truly understanding the essence of the conversation.

Challenge ③ Significant man-hours spent on post-meeting review and training

Although recording functions of web conferencing tools were utilized, reviewing necessary content required watching the entire recording from the beginning, consuming a lot of time for post-meeting review. Consequently, meeting content could not be fully utilized, making it difficult to connect to next actions or improvements.

Furthermore, managers had to attend or review recordings of members' presentations and negotiations to understand and provide feedback, requiring significant man-hours for training. While there was a desire to provide thorough training, the inability to allocate sufficient time was a challenge.

■ Key Points of ailead Utilization

Point ① Systematizing end-to-end processes from recording to reviewing meeting/negotiation data

At TOPPAN's Lifestyle & Industrial Business Division, SX Promotion Center, internal and external meetings and negotiations are recorded with ailead, and automatic transcription and summarization are utilized to streamline the organization and review of meeting content. This eliminated the need to re-summarize content after meetings, allowing necessary information to be confirmed accurately in a short time.

Moreover, an environment has been established where participants can concentrate on the discussion or negotiation itself during meetings, without being distracted by recording tasks. This not only reduces the workload but also builds a system that facilitates connecting meeting and negotiation data to next actions.

Point ② Member-led review and training utilizing AI feedback

By leveraging ailead's AI feedback function, a system has been built where members can independently review their negotiations and presentations and identify areas for improvement. Prompts are designed based on internal evaluation criteria to obtain practical feedback, enabling training to progress without managers needing to individually attend or confirm. Additionally, negotiation data is accumulated and shared as knowledge, preventing the personalization of sales know-how.

Point ③ Clearing strict security standards and expanding to full-scale utilization including external negotiations

The introduction of cloud services requires strict security checks regarding the handling of confidential information and data management systems. Although ailead was initially limited to internal use, ailead's team addressed numerous security checklist items one by one, clearing internal standards. From April 2024, its scope of use has expanded to include negotiations and meetings with external parties. This has established a system where ailead can be utilized in a practical manner, including recording and reviewing external negotiations.

ailead has obtained ISO/IEC 27001 (ISMS), an international standard for information security management systems, and data is appropriately managed in a domestic environment. The design ensuring that customer data is not used for AI learning was also highly evaluated. Through these efforts, ailead cleared TOPPAN's strict security review, enabling recording and analysis of negotiations with external customers.

■ Results of ailead Utilization

Result ① Reduced man-hours for post-meeting/negotiation organization and review, improving operational efficiency

The introduction of ailead significantly reduced the burden of organizing and confirming content after meetings and negotiations. Automatic transcription and summarization allow necessary information to be grasped in a short time, improving daily operational efficiency.

Furthermore, an environment has been established where participants can concentrate on the discussion or negotiation itself during meetings, without being distracted by recording tasks.

Result ② Reduced member training and feedback man-hours from 24 hours to 1 hour per month

Previously, managers spent approximately 24 hours per month on training, either by attending members' presentations and negotiations or by reviewing recordings afterwards to provide feedback. By utilizing ailead's AI feedback function and establishing a system where members can complete their own reviews, managers have transitioned to a system where they can grasp the overall situation in a single monthly confirmation meeting of about 1 hour.

Result ③ Reinvesting saved time into knowledge sharing and activities to enhance organizational performance

The time saved due to reduced man-hours can now be allocated to activities that were previously not sufficiently addressed, such as reviewing negotiations and sharing knowledge. Specifically, TOPPAN is extracting model cases from negotiations recorded with ailead and sharing them as knowledge to strengthen inside sales. ailead is being utilized not just for operational efficiency but as a platform to expand the possibilities of teams and initiatives.

Details of the case study: https://www.ailead.app/cases/toppan

■ About TOPPAN Corporation

Based on "printing technology," TOPPAN Corporation develops a wide range of business activities across three fields: "Information & Communication Business," "Lifestyle & Industrial Business," and "Electronics Business."

Company Name: TOPPAN Corporation

Representative: Satoshi Ohya, President & Representative Director

Location: 1-3-3 Suido, Bunkyo-ku, Tokyo 112-8531

Website: https://www.toppan.com/ja/

Number of Employees: TOPPAN Holdings consolidated 51,988 (as of end of March 2025)

■ About Conversation Data AI Platform ailead

ailead is a conversation data AI platform.

From the moment a negotiation, meeting, or interview ends, an AI agent automatically performs CRM updates, evaluation report creation, and next action design.

You can freely design analysis logic and workflows to strengthen sales and recruitment, and for talent development.

It has been adopted by over 400 enterprise companies and has achieved No. 1 customer satisfaction in the ITreview 2026 Winter "Sales Enablement" and "SFA Tool" categories.

Service Website: https://www.ailead.app/

■ About ailead Inc.

ailead Inc. aims to create global businesses that dramatically improve productivity by utilizing AI (Artificial Intelligence) and ML (Machine Learning), under the mission of "continuing to create businesses that benefit people worldwide."

Company Name: ailead Inc.

Location: 5F, 35th Kowa Bldg., 1-14-14 Akasaka, Minato-ku, Tokyo

President & Representative Director: Hiroki Sugiyama

Company Information: https://www.ailead.app/company

FAQ

What specific challenges did TOPPAN solve by implementing ailead?

TOPPAN resolved issues such as insufficient information sharing and utilization from meetings/negotiations, reduced discussion quality due to simultaneous demands for dialogue and recording, and high man-hours for post-meeting review and training.

How did ailead's AI feedback function contribute to talent development?

It established a system where members can review negotiation content and identify areas for improvement themselves, reducing manager training man-hours from 24 hours to 1 hour per month.

How did ailead clear TOPPAN's strict security standards?

It obtained ISO/IEC 27001 (ISMS) certification, ensuring data is properly managed in a domestic environment and customer data is not used for AI learning, which were key evaluation points.