
Design policy frameworks and oversight models that protect mission, integrity, and long-term sustainability.
Facilitate strategic planning and leadership alignment to ensure AI initiatives support institutional priorities.
Build capacity across teams and professional staff for responsible, mission-aligned AI integration.
AI is moving faster than most leadership structures were built to handle. But disruption does not require disorder. With clear governance, aligned leadership, and intentional strategy, uncertainty becomes clarity and change becomes sustainable.
I partner with institutions and organizations to design governance frameworks, guide strategic planning, and build faculty and leadership capacity for responsible, mission-aligned AI adoption.

Partner with executive teams to design AI governance frameworks, guide strategic planning, and align policy, leadership, and culture for sustainable implementation.

Engage audiences with clear, grounded insights on human-centered AI strategy, governance, and institutional design.

Equip teaching teams and staff with the frameworks, policy clarity, and strategic understanding needed for mission-aligned AI integration.

Scale AI readiness through self-paced courses and guided cohort programs. These offerings build shared language, clarify policy boundaries, and strengthen strategic judgment.

"I thought it was going to get confusing when it got to how AI "reads" but you explained it beautifully."

Professor Gibson has "...a unique ability to make even the toughest subjects interesting."

"Great presentation! So glad I attended!"
Human-centered AI is not about slowing innovation. It is about aligning technology with mission, governance, and long-term institutional integrity.
When leadership, policy, and culture are aligned, AI strengthens judgment rather than replacing it. It clarifies boundaries, builds faculty and workforce capacity, and preserves the values that define an organization. AI becomes not a disruption to manage, but a force to direct with clarity and purpose.
AI will shape decision-making, policy, and value creation across every sector. The question is not whether to adopt it, but whether it will be governed intentionally.
Human-centered AI ensures that innovation advances institutional responsibility rather than eroding it. It builds sustainable capacity instead of short-term experimentation. It protects trust while accelerating progress. This work is grounded in national advisory experience and deep higher education governance expertise.
Technology alone does not determine outcomes. Leadership does.