Leadership Coaching & AI Adoption Advising

Strategy is clear.
People are complicated.
That's exactly where I work.

I help senior leaders, executives, and boards get clear on who they are, where they're going, and how to bring their people with them — especially when AI is reshaping everything around them.

Start a conversation → No pitch. Just a conversation about what you're navigating.

The gap nobody talks about

Your organization bought AI.
Now what?

Research shows the people side of change is the single biggest blocker of transformation — and the single biggest enabler. Most AI initiatives stall not because the strategy was wrong, but because the human system wasn't ready: the culture, the habits, the fears, the leadership.

Projects with excellent change management are 6× more likely to meet their objectives than those with poor change management.

— Prosci Best Practices in Change Management Research

The numbers are stark: 54% of C-suite executives say AI adoption is actively fracturing their organizations, and 31% of knowledge workers admit to working against their company's AI initiatives. BCG puts it plainly — 10% of AI success comes from algorithms, 20% from technology and data, and 70% from people and process. Most organizations are spending 90% of their budget on the 30% that matters least.

Unused licenses. Resistant teams. Leaders who know what needs to happen but can't seem to move people forward. This is the problem I've spent my career solving — and the intersection where leadership coaching, organizational change, and AI adoption converge.

The data is clear

The research is unambiguous.
The problem is people.

BCG, ICF, and Writer.com all confirm what change practitioners have known for years. I've pulled the most compelling findings — with data visualizations — into one place.

70%

of AI ROI comes from
people & process

3–4×

higher adoption with
structured change programs

$5.3B

global coaching market
growing 8–9% annually

See the full research →

Kelly's point of view

Two things most organizations get wrong about AI.

The diagram below shows why AI adoption stalls — and where the leverage actually is.

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AI proficiency starts at the top — and has to be real.

Leaders who use AI fluently accelerate adoption throughout the organization. Leaders who delegate it create the very resistance they're trying to avoid. What looks like laziness is almost always FOBO: Fear of Becoming Obsolete. Name it, and it becomes workable.

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AI as an add-on doesn't work. Restructuring does.

You can't bolt AI onto a broken workflow and call it transformation. The companies that succeed allow AI to restructure how work gets done — willing to rethink workflows, reshape roles, redesign how value is created. BCG puts the adoption rate difference at 3–4×.

System dynamics: what's actually driving resistance

Strategy is clear.People are complicated.That's exactly where I work.

Your organization bought AI.Now what?

The research is unambiguous.The problem is people.