Generative AI Consultant Case Study Summary ── "Compressing 1.7 Million Estimates to 1 Million," "Reducing Shipping Tag Creation Man-Hours by 90%," Realities of SME AI Utilization Seen from Over 40 Supported Companies
Leach Inc.'s "Generative AI Consultant" service supports generative AI adoption for SMEs and startups, starting from 50,000 yen per month. With over 40 companies supported, it has released concrete examples of business efficiency improvements, such as a 90% reduction in shipping tag creation man-hours and shifting order checking from a 3-person to a 1-person system.
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- 📰 Published: May 1, 2026 at 19:10
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Summary of Generative AI Consultant Case Studies ── "Compressing 1.7 Million Estimates to 1 Million," "Reducing Shipping Tag Creation Man-Hours by 90%," Realities of SME AI Utilization Seen from Over 40 Supported Companies
What is a Generative AI Consultant? ── A "Technical Advisor Subscription" starting from 50,000 yen per month
Generative AI Consultant is a generative AI implementation support service for small and medium-sized enterprises (SMEs) and startups provided by Leach Inc. Its purpose is to introduce and establish the latest technologies such as ChatGPT, Claude, and image generation AI in a way that is tailored to the practical operations of companies.
The biggest feature is the communication system based on Slack (and Google Meet as needed). In traditional consulting, time tends to be consumed by scheduling regular meetings and preparing reports. With Generative AI Consultant, we participate in the client company's Slack and respond in real-time to everything from "small questions" to "full-scale development support" within daily operations.
Although it is called "Generative AI Consultant," its scope of support is not limited to generative AI. We handle any IT-related consultation, including scrutinizing estimates from external vendors (a "gatekeeper" function), reviewing web system designs, setting up Docker environments, consulting on authentication/authorization implementation, and advising on NAS configurations and security.
"We want to hire a technical advisor on a monthly basis, but we can't afford full-time personnel costs." "We want to introduce AI tools, but we don't know where to start." ── In response to the voices of such SMEs, we have realized a pricing structure starting from 50,000 yen per month.
Leach's CEO, Takuya Tominaga, states:
"Large companies can establish in-house AI specialized teams, but SMEs lack those resources. On the other hand, if you ask a large consulting firm, it costs millions to tens of millions of yen. We wanted to bridge this structural gap."
Since the service started, we have supported a diverse range of clients in terms of industry and scale, from construction, manufacturing, IT, entertainment, educational institutions, to listed company groups. In this release, we will introduce particularly clear success stories, categorized by type.
Case Category 1: Business Efficiency Improvement / Man-Hour Reduction ── Automating routine tasks with generative AI
Case 1: Rikiman (Construction Metal Fitting Lease Specialist) ── 90% Reduction in Shipping Tag Creation Man-Hours
Company Overview: Rikiman is a company specializing in leasing metal fittings used in construction sites, leading the construction industry as a top manufacturer of metal fittings. They have a proven track record of deeply understanding on-site operations in the construction industry and providing high-quality services.
Challenge: The task of creating "shipping tags," essential for delivering metal fittings to construction sites, was a significant burden in terms of man-hours. Shipping tags require accurate recording of multiple pieces of information such as delivery destination, product name, quantity, and site name, and manual creation took a considerable amount of time per item.
Generative AI Consultant Support: Through chat-based interviews, we visualized the business flow and identified automation points. We built a shipping tag creation mechanism utilizing generative AI and introduced a workflow that automatically generates shipping tags from input data.
Results: 90% reduction in man-hours for shipping tag creation. Staff were freed from shipping tag creation and could dedicate their time to higher-value tasks such as customer support and inventory optimization.
Mr. Takehito Isoda, Rikiman Tokyo Branch Manager, states:
"Having someone who understands IT as a supporter in the company makes a huge difference in peace of mind. In addition to AI automation of shipping tag creation, they also accompany us in technical reviews of vendor estimates and negotiations with core system development companies, making them a cornerstone for management decisions."
Case 2: Nabel (Long-established Bellows Manufacturer in Mie Prefecture) ── From a 3-person to a 1-person system for order checking operations
Company Overview: Nabel is a long-established bellows manufacturer headquartered in Mie Prefecture. Bellows are used as cover parts for machine tools and industrial equipment, and the company has led the industry with its high technical capabilities for many years.
Challenge: The task of matching approximately 20,000 order data items annually was a major bottleneck. Three staff members were engaged in verifying the consistency of order content with shipping data and billing data, and a large portion of their work hours was spent on this routine verification task.
Generative AI Consultant Support: With the support of Generative AI Consultant, the data matching automation tool "Tsugou.com" was introduced. By utilizing AI-powered data matching, the task, which previously required manual verification of each item, was largely automated.
Results: The order checking operation, previously performed by a 3-person system, was transitioned to a 1-person system. Work hours were approximately halved. The freed human resources have been reallocated to more strategic tasks such as quality control and new client development.
What is a Generative AI Consultant? ── A "Technical Advisor Subscription" starting from 50,000 yen per month
Generative AI Consultant is a generative AI implementation support service for small and medium-sized enterprises (SMEs) and startups provided by Leach Inc. Its purpose is to introduce and establish the latest technologies such as ChatGPT, Claude, and image generation AI in a way that is tailored to the practical operations of companies.
The biggest feature is the communication system based on Slack (and Google Meet as needed). In traditional consulting, time tends to be consumed by scheduling regular meetings and preparing reports. With Generative AI Consultant, we participate in the client company's Slack and respond in real-time to everything from "small questions" to "full-scale development support" within daily operations.
Although it is called "Generative AI Consultant," its scope of support is not limited to generative AI. We handle any IT-related consultation, including scrutinizing estimates from external vendors (a "gatekeeper" function), reviewing web system designs, setting up Docker environments, consulting on authentication/authorization implementation, and advising on NAS configurations and security.
"We want to hire a technical advisor on a monthly basis, but we can't afford full-time personnel costs." "We want to introduce AI tools, but we don't know where to start." ── In response to the voices of such SMEs, we have realized a pricing structure starting from 50,000 yen per month.
Leach's CEO, Takuya Tominaga, states:
"Large companies can establish in-house AI specialized teams, but SMEs lack those resources. On the other hand, if you ask a large consulting firm, it costs millions to tens of millions of yen. We wanted to bridge this structural gap."
Since the service started, we have supported a diverse range of clients in terms of industry and scale, from construction, manufacturing, IT, entertainment, educational institutions, to listed company groups. In this release, we will introduce particularly clear success stories, categorized by type.
Case Category 1: Business Efficiency Improvement / Man-Hour Reduction ── Automating routine tasks with generative AI
Case 1: Rikiman (Construction Metal Fitting Lease Specialist) ── 90% Reduction in Shipping Tag Creation Man-Hours
Company Overview: Rikiman is a company specializing in leasing metal fittings used in construction sites, leading the construction industry as a top manufacturer of metal fittings. They have a proven track record of deeply understanding on-site operations in the construction industry and providing high-quality services.
Challenge: The task of creating "shipping tags," essential for delivering metal fittings to construction sites, was a significant burden in terms of man-hours. Shipping tags require accurate recording of multiple pieces of information such as delivery destination, product name, quantity, and site name, and manual creation took a considerable amount of time per item.
Generative AI Consultant Support: Through chat-based interviews, we visualized the business flow and identified automation points. We built a shipping tag creation mechanism utilizing generative AI and introduced a workflow that automatically generates shipping tags from input data.
Results: 90% reduction in man-hours for shipping tag creation. Staff were freed from shipping tag creation and could dedicate their time to higher-value tasks such as customer support and inventory optimization.
Mr. Takehito Isoda, Rikiman Tokyo Branch Manager, states:
"Having someone who understands IT as a supporter in the company makes a huge difference in peace of mind. In addition to AI automation of shipping tag creation, they also accompany us in technical reviews of vendor estimates and negotiations with core system development companies, making them a cornerstone for management decisions."
Case 2: Nabel (Long-established Bellows Manufacturer in Mie Prefecture) ── From a 3-person to a 1-person system for order checking operations
Company Overview: Nabel is a long-established bellows manufacturer headquartered in Mie Prefecture. Bellows are used as cover parts for machine tools and industrial equipment, and the company has led the industry with its high technical capabilities for many years.
Challenge: The task of matching approximately 20,000 order data items annually was a major bottleneck. Three staff members were engaged in verifying the consistency of order content with shipping data and billing data, and a large portion of their work hours was spent on this routine verification task.
Generative AI Consultant Support: With the support of Generative AI Consultant, the data matching automation tool "Tsugou.com" was introduced. By utilizing AI-powered data matching, the task, which previously required manual verification of each item, was largely automated.
Results: The order checking operation, previously performed by a 3-person system, was transitioned to a 1-person system. Work hours were approximately halved. The freed human resources have been reallocated to more strategic tasks such as quality control and new client development.