Raising AI Skills with ChatGPT and Microsoft Copilot
Company-Wide Reskilling and a Framework for Safe Use

Before

Generative AI spreading without people knowing how to use it, and a widening skills gap

At the client, a company in the automotive industry, the rapid spread of generative AI gradually brought problems to the surface. First, concrete ways to use it on the front line were unclear, and even after adoption, people struggled to see its benefits.

In addition, departments varied in their enthusiasm for adopting the tools, and a skills gap was widening, with people who could make full use of AI on one side and those who could not on the other. Understanding of the risks of using generative AI, such as information security and copyright, was also insufficient, and establishing a framework for safe use across the company had become an urgent priority.

Figure: Three challenges in using generative AI

Redesign

Step-by-step reskilling, from setting up the environment to structured learning

To address these challenges, the client carried out reskilling training to promote the use of generative AI across the company. ChatGPT and Microsoft Copilot were chosen as the tools, and the environment was set up and the tools rolled out first, so that employees could use AI with confidence.

The training was then structured so that employees could learn systematically, from the basics of using AI to applying it in their work. In particular, to address the lack of understanding of risks such as information security and copyright, the curriculum explicitly included a module on safe use, designed to improve skills and establish a framework for safe use at the same time.

The curriculum was not built once and left as is. Instead, the hands-on structure and the level of detail in explanations were improved step by step based on participants’ understanding and feedback.

Figure: Steps in promoting AI reskilling

After

16,737 hours saved, and weekly use reaching 50%

As a result of the AX training, time savings reached 16,737 hours, a significant reduction compared with conventional job training.

In addition, the share of employees using generative AI at least once a week reached 50%. This shows that AI use within the company has taken root rather than ending as a passing trend, and that its use in daily work is steadily advancing.

Figure: Results of the training

Through these results, AI skills and literacy rose across the company, and a framework is now in place for using generative AI safely and effectively.

If your organization is finding that generative AI has not taken hold on the front line, that skills gaps are widening across departments, or that understanding of security and copyright risks has not kept pace, we hope this case offers useful insights.