Ensuring safe, human‑centered AI adoption for talent development at Taisei Corporation

Deploying ChatGPT Enterprise with a ‘Middle Out’ change model, governance framework, and custom GPTs

Why talent development became the driver, not just productivity

Taisei realized that the real competitive edge lies in people who can partner with generative AI, not merely in faster task execution. By positioning ChatGPT Enterprise as a learning companion, the HR team turned AI into a catalyst for career growth.

The “Middle Out” approach

Assistant Manager Kenta Nukazawa coined a middle‑out model that bridges executive vision with frontline enthusiasm. This model ensures that:

• Leadership messages reach the shop floor quickly.
• Ground‑level insights shape policy and training.
• Both sides co‑create a shared AI narrative.

For a deeper look at change‑management strategies, see our article on AI identity and governance.

Key actions of the Middle Out rollout

• Formed a cross‑functional “AI Champion” network.
• Launched bite‑size training modules tied to real project needs.
• Hosted hack‑days where teams built custom GPTs for specific workflows.

Building trust through safety and governance

Taisei’s Information Planning Department introduced layered controls:

• Role‑based access to corporate data sources (Microsoft 365, Box, etc.).
• Automated usage logs reviewed weekly.
• Mandatory AI‑ethics briefings for all users.

The focus was on explain‑why rather than “rule‑by‑force”. This mirrors best practices described in our guide to AI prompt engineering and governance.

Measurable impact

• 90% weekly active usage of ChatGPT Enterprise.
• More than 5.5 hours saved per employee each week (≈260 hours/year).
• 3,300 custom GPTs created, supporting 3,800 internal projects.
• 99% of users express intent to keep using the platform.

Culture shift highlights

Younger staff now deliver work on par with senior engineers, while veterans adopt AI as a mentorship tool. The mantra “Without ChatGPT, my work does not move forward” has become common across sites.

Extending the model beyond Taisei

With a proven framework, Taisei plans to share its human‑centered AI playbook with the broader construction sector and eventually with society at large. The next steps include publishing case studies and offering workshops in partnership with OpenAI Japan.

Resources for replicating success

Organizations interested in a similar journey can explore:

• Our guide to emerging tech tools for rapid prototyping.
• The Codex macOS app for building internal AI assistants.

Final thoughts

Taisei’s experience proves that when AI adoption is anchored in talent development, governed with transparency, and driven by a “middle out” cadence, companies can achieve both efficiency gains and a lasting cultural transformation.