"Aiming to Be a Company Where Generative AI is Second Nature" – Culture Building and In-House Training Initiatives

Hello!
I am Wada (@cognac_n), a Generative AI Evangelist at KINTO Technologies (KTC) as part of the Generative AI Development Project.

At KTC, the adoption of generative AI is advancing across various areas as we share in the below articles:

:::Other KTC Tech Blogs on generative AI

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Both engineers and non-engineers are adopting generative AI in ways tailored to their roles and tasks. To support this, the Generative AI Development Project has been working toward a vision of making generative AI second nature across the company. In this article, we’d like to share what we've been doing.

1. Introduction of the Generative AI Development Project

This initiative was launched in January 2024 to promote the use of generative AI within the company.
The Generative AI Development Project currently serves three main functions.

Three key functions of the project

Functions of the Generative AI Development Project

These functions are not independent but are part of a continuous cycle aimed at accelerating the adoption of generative AI in various scenarios:

1. Generating innovative ideas
2. Assessing feasibility
3. Implementing and delivering solutions
4. Expanding through case study deployment

The goal is to speed up this cycle, ensuring generative AI is utilized effectively in every scenario.

Generate AI Development Project functions and cycles

In this article, we will introduce our activities with a focus on education and training.

2. The Basic Concept of the Education and Training System

To realize the vision of "a company where everyone naturally utilizes generative AI", we have adopted three key principles:

1. Generative AI is not just for specialists
2. There are “optimal utilization levels” based on each role
3. Emphasis on step-by-step learning, from basics to advanced expertise

Basic idea of the training system

At KTC, multiple instructors conduct training sessions on a variety of topics. In addition, the training participants include both engineers and non-engineers, covering a wide range of roles and responsibilities. To ensure consistently high-quality training, even in such a diverse environment, we established a shared understanding of the fundamental principles. This approach wasn’t predetermined from the start; instead, it gradually developed through ongoing refinements driven by internal feedback.

3. Training System Implementation

Based on these three core principles, we have developed a structured, step-by-step training program.

Training Name	Target Audience	Content
Beginner	All employees	Basic knowledge of Generative AI and Prompt Engineering. The foundational first step for everything
Case Study	All employees	Introduction of internal and external use cases. Develop the ability to take best practices and adapt them independently
Improved Office Productivity	Selected employees from each department (Ambassador system)	Master generative AI as a tool to create business value. Drive business process transformation with AI integration. Become an in-house advocate and evangelist for AI utilization.
Generalist	People involved in system development	Learn key aspects of system development using generative AI. Develop the ability to assess technology, create value, and validate outcomes
Engineering	The engineer responsible for implementation	Build practical implementation skills for system development using generative AI. Gain hands-on knowledge and experience to effectively deliver value.

Each journey uniquely defines the target level of generative AI utilization.

4. Emerging Value

How engineers are changing

• Proposing the addition of generative AI features to existing systems
• Planning and pitching new services utilizing generative AI
• Independently developing AI-powered tools to improve work efficiency
• Advanced utilization of generative AI tools such as GitHub Copilot

How non-engineers are changing

• Active use of generated AI in day-to-day operations
• Improved technical communication with AI support
• Taking on the challenge of developing simple tools

As I introduced the blog at the beginning, employees who have undergone training are now actively leveraging generative AI within their roles and responsibilities. From daily tasks and communication to system development, generative AI is driving efficiency improvements and adding value across various scenarios. The types of inquiries we receive have also evolved—from "I don’t know what’s possible" to "I tried it! How can I improve it further?" or "I believe we can achieve something like this, can we collaborate?" With growing generative AI literacy, employees are no longer hesitant to "try first", and they are developing an intuitive sense of "this seems possible—and valuable".

5. Future Prospects

Generation AI technology is evolving rapidly. KTC/KINTO is beginning to achieve "commonplace AI usage", but there is no definitive goal for what "commonplace" should be.

"Aiming to be a company where using generative AI is second nature for everyone".

We will continue pushing forward with our initiatives!

We Are Hiring!

KINTO Technologies is looking for passionate individuals to help drive AI adoption in our business. We’re happy to start with a casual interview. If you’re even slightly interested, feel free to reach out via the link below or through X DMs. We look forward to hearing from you! Great place to stay!

Thank you for reading all the way to the end!