At the Exceptional Women Alliance, we connect senior women leaders for mentorship through shared insights. As CEO, I frequently engage with executives driving organizational evolution and performance.
Recently, I spoke with Jennifer Renaud, CEO of Kradle LLC, who brings over 30 years of experience in digital innovation, strategy, and growth. She emphasizes that as AI integrates more deeply into businesses, traditional hierarchical decision-making—which favors stability—often hinders speed and adaptability.
Renaud explains that traditional hierarchies, designed for predictability, now delay decisions and responses because decision authority is too distant from the insight source. High-growth companies succeed by bringing decision-making closer to customer and operational insights, enabling faster, more accurate responses.
She gives Amazon’s approach as an example, encouraging quick decisions on reversible matters rather than waiting for full consensus. AI amplifies this need by generating numerous real-time insights that require fast action, making distributed decision rights essential.
Strong decision cultures emerge when leadership focuses on clarifying priorities and defining decision ownership rather than making every call. Leaders also benefit from stepping back to allow teams to decide closer to the action, fostering accountability and adaptability.
The shift for leaders is to move from being sole decision makers to architects of an environment where sound decisions naturally occur throughout the organization, ensuring agility and responsiveness in rapidly changing markets.
— Larraine Segil, Founder, Chair & CEO, The Exceptional Women Alliance.
