How Generative AI Consulting Transforms SMEs: Real-World Cases

Introduction

Generative AI consulting has taken the business world by storm, particularly for small and medium enterprises (SMEs) in Japan. This innovative approach, offered by Leach Co., Ltd., transforms how businesses operate by leveraging cutting-edge AI technologies like ChatGPT and Claude. With a subscription model that starts at just 50,000 yen per month, even SMEs with limited resources can access expert technical support, paving the way for real-time, AI-driven operational improvements.

The Unique Offering of Generative AI Advisors

At the core of generative AI consulting is a commitment to streamline communication through platforms like Slack and Google Meet as needed. Unlike traditional consulting firms, which often burden clients with administrative tasks and lengthy meetings, generative AI consultants engage directly on the client's preferred platforms. This dynamic interaction allows them to address anything from minor questions to substantial development support almost instantaneously.

Furthermore, the range of services extends beyond merely implementing AI. Clients can seek advice on vendor estimates, web system design reviews, Docker environment setups, and security configurations, making generative AI consulting a comprehensive resource.

Addressing the Gaps in SME Resources

Takuya Tominaga, the company's representative, emphasizes the unique positioning of SMEs, which often lack the resources to form specialized AI teams. Hiring top-tier consulting firms can come at a prohibitive cost, running into millions of yen. The generative AI consulting service aims to fill this structural gap, providing crucial support to those who need it the most at a fraction of the cost.

Real-World Success Stories

Since its launch, the consulting service has helped over 40 different clients across diverse sectors, from construction and manufacturing to IT and education. Below are some standout examples:

Case Study 1: Efficiency in Operations

Client: Rikiman (Construction Equipment Leasing)
Challenge: The process of creating shipping labels was cumbersome, requiring significant time and effort.
Solution: By adopting automation through generative AI, Rikiman was able to reduce label-making efforts by 90%. With this newfound efficiency, the team shifted focus from routine tasks to value-added operations like customer service and inventory optimization.

Rikiman's Tokyo Branch Manager, Takahito Isoda, noted, "Having someone in the company who understands IT gives us a sense of security that is invaluable. They've also guided us in vendor estimate evaluations and negotiations with primary system developers."

Case Study 2: Cost Efficiency in Vendor Management

Client: An unnamed SME
Challenge: Faced with an inflated IT overhaul estimate of 1.7 million yen from a vendor, the company lacked the technical insights needed to negotiate effectively.
Solution: The generative AI consultant conducted a thorough examination of the estimate, identifying areas for cost reduction and enabling a renegotiation that cut the final bill to 1 million yen.

Tominaga emphasizes the importance of having a consultative partner who offers a second opinion on technical matters, allowing the company to engage in fair negotiations with vendors.

Case Study 3: Support in Large-Scale Projects

Client: Mizunara (Public Venture)
Challenge: In a large municipal project worth approximately 60 million yen, the team struggled to identify suitable technologies due to a lack of in-house AI expertise.
Solution: Generative AI consultants stepped in to support technology selection regarding vector searches, ensuring a smooth project progression.

Case Study 4: Enhanced AI Capabilities

Client: ExaEdge Co., Ltd.
Challenge: ExaEdge faced challenges in optimizing their legal AI's accuracy while managing operational costs.
Solution: By leveraging generative AI consulting, they improved their AI's operational cost by 40% through simultaneous enhancements in accuracy and processing speed.

Case Study 5: Support for Education Institutions

Client: Japan Joint Solutions Company (Minato HD Group)
Challenge: Complexity in AWS environments led to difficulties in transparency regarding costs and security.
Solution: The consulting service provided a comprehensive review and suggestions for improving both cost management and security protocols within the AWS infrastructure.

Key Learnings from 40+ Projects

Through their extensive experience supporting over 40 companies, Leach has identified several crucial points for SMEs looking to harness AI:

1. Start Small: Focusing on specific operational challenges rather than attempting a full organizational overhaul is key.
2. Redesign Workflows: Introducing AI tools without reengineering existing processes limits their effectiveness.
3. Technical Consultation: Having access to a knowledgeable consultant can significantly impact the success of AI implementation.

Future Outlook

Leach is committed to continuing to assist SMEs in effectively leveraging generative AI solutions. Tominaga envisions a future where these technologies remain accessible to smaller enterprises, serving as a vital link between advancements and practical applications in the workforce.

Conclusion

The generative AI consulting service is more than just technical support; it represents a transformational opportunity for SMEs. By providing straightforward, affordable solutions, the service enables businesses to tap into the potential of AI while overcoming traditional barriers—setting the stage for innovation and growth in the future.