About

Mari Sekino works at the intersection of AI, organizational transformation, and operational decision systems.
Strategic Advisory for AI-era Transformation,

Her experience spans strategy consulting, enterprise transformation, startup environments, and real-world operational settings across multiple industries.

Before founding QERA, she worked on large-scale transformation initiatives involving manufacturing, automotive engineering environments, digital systems, and organizational change — including hands-on experience supporting operational transformation inside complex engineering and product development contexts where abstract frameworks and real-world operational constraints could not be separated. Across industries, a recurring pattern emerged: technological systems evolved faster than the structures organizations used to make decisions, assign accountability, and coordinate action.  She also experienced fast-moving startup environments through growth and IPO phases, providing firsthand exposure to how decision structures evolve under speed, uncertainty, and scaling pressure. 

This perspective continues to shape QERA’s focus today. This combination of operational exposure and systems-oriented thinking led to a central question: How do organizations make decisions, assign accountability, and operate once AI becomes embedded into real-world systems?

Instead of viewing AI as only a technology issue, her work focuses on how increasingly complex systems reshape organizational behavior, accountability, and decision-making. Her background in physics continues to influence this systems-oriented perspective — particularly in understanding interaction dynamics, uncertainty, and emergent operational behavior across interconnected environments.  Across industries — from engineering and manufacturing environments to consulting and startup ecosystems — similar structural patterns repeatedly emerged: technology evolved faster than organizational decision structures. AI is accelerating this gap.
 

Today, her work focuses on what value and how create under uncertainty for AI-era organizations.