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References · Case Studies

AI governance in practice

How leadership teams govern AI responsibly – selected mandates and proof-of-concept projects.

Reference · Member of the National Council

Isabelle Chappuis

Isabelle Chappuis
I have had the opportunity to collaborate with Dr. Jacqueline Kucera in several contexts related to artificial intelligence, democratic governance, and emerging technologies, including public conferences, panel discussions, and the parlementAIre project, a sovereign AI research tool for the Swiss Parliament.

Our collaboration fully convinced me of her scientific expertise, strategic clarity, and ability to advance complex AI-related questions with both rigour and responsibility.

Jacqueline combines deep knowledge of AI governance with a strong understanding of institutional realities, democratic accountability, and the practical conditions required to build trustworthy AI systems.

I hold her work in such high regard that I explicitly acknowledged her competence in my recent book, Notre liberté de penser, published by EPFL Press, which addresses artificial intelligence, emerging technologies, and the protection of democratic freedom of thought.

I am pleased to recommend Dr. Jacqueline Kucera and her work through SOTRAI. Isabelle Chappuis · Member of the Swiss National Council · Author of Notre liberté de penser (EPFL Press)
Case study · Japan

Discoveries Inc., Tokyo

Discoveries Inc. (Tokyo) is a Japanese IT company that develops AI agents.

Starting point

Discoveries had set out as an “AX company” to anchor AI not only technologically but as a leadership task.

Approach

Two workshops with the CEO and the change manager, followed by a dedicated workshop with the Discoveries management team, working with SOTRAI on the decisive leadership questions.

Outcome

The leadership team anchored accountability as the core of its AI transformation, with the clear insight that governance rules must be reviewed continuously as technology and business evolve.

Yuichiro Shimada
“As a business leader actually driving AI transformation in my own company, the scenarios discussed reflected my current reality. This experience reinforced my hypothesis that we may need to fundamentally redesign not only organisational structures, but also business processes and evaluation systems.” Yuichiro Shimada, CEO & Founder, Discoveries Inc. (Tokyo) · AI Governance & Leadership Workshop, University of Tokyo, May 2026
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