AI Transformation Consulting
More capable.
Not more dependent.
Most teams have the tools. They’ve done the trainings. Nothing changed. The problem isn’t the software — it’s that no one redesigned how work actually flows.
“The goal of learning AI is not to offload your thinking. It’s to amplify it.”
The Problem
95% of AI pilots
fail to scale.
That’s not a technology failure. It’s an organizational one. Teams have access to powerful tools — and no real framework for when or how to use them. Adopting AI fast isn’t the advantage. Understanding how to use it, and redesigning work around the right use cases, is.
The teams that get ahead are the ones who stop automating what they already do and start designing what comes next — understanding what customers and employees actually need, then building toward that.
That’s the difference between a team that’s always catching up — and one that’s consistently ahead.
2–4%
of executives see real transformative change from AI initiatives
37%
of executives say AI is actively wasting time or leading teams the wrong way
30–50%
of manual work freed up for teams who redesign workflows alongside AI adoption
How We Work Together
Where to start.
AI Consulting
You learn it. You build it. You keep it.
Not a set of tools dropped on your team. A real transformation — built alongside you, where your team learns to build and maintain it themselves. The workflows, the agent ecosystem, the measurement framework. When I leave, they can keep building without me. That’s the whole point.
See How It Works →Speaking
Where AI strategy gets real.
From keynotes to executive workshops, I bring the thinking most AI conversations skip — the judgment vs. intelligence distinction, the survival pressure underneath adoption resistance, and what organizations doing this well are actually doing differently.
View Topics →Maven Course
The AI Advantage.
A structured cohort course for professionals who want to lead AI transformation in their own organizations — not just use the tools. Built from 22+ weeks of live teaching with practitioners and executives.
Join the Course →After
The team is AI-first. Confident, moving, building — without waiting to be told what to do.
30–50% of manual work freed up. The leader can measure it, show it, champion it upward.
Higher-level work finally has room — the strategic, creative work that's been on the back burner.
A team operating at a higher version of themselves. More revenue. More innovation. More impact.
They have the internal muscle to keep evolving — without needing outside help every time.
Measured Results
Before. After.
In their own words.
Each participant completed a 25-dimension AI proficiency assessment before and after the program — covering prompting, workflow design, agent creation, team enablement, and strategic AI leadership. The percentage below reflects their improvement across those dimensions.
Sales & Business Development
+158%
After
“I'm using AI to research target companies and identify the right people for prospecting. I feel 10 out of 10 ready to lead this on my team.”
Healthcare Professional
+76%
After
“I'm using AI to research new illnesses, build care pathways, and surface what's working around the world. I feel 10 out of 10 ready.”
Operations & Planning
+64%
After
“With the classes I've taken, I can point people to the right places to begin. I'm ready.”
“My ability to utilize AI is an advantage as I look for new roles. I'm not afraid of it — it's a differentiator.”
“I can show coworkers how to use AI for their jobs. I can help people who are nervous about AI feel more confident.”
“I no longer worry about being replaced. I've figured out which parts of my job AI can help with — and which parts only I can do.”
AI Readiness Assessment
Where does your
team actually stand?
Five questions. A personalized read on where your team is — and what would actually move the needle.
Powered by AI. Grounded in the same framework Christine uses in every engagement.
How would you describe your team's current AI situation?
Speaking
Where AI strategy
gets real.
From keynotes to executive workshops. I bring the frameworks and the honest conversation — the judgment vs. intelligence distinction, what the 5% of successful AI transformations actually do, and how to build a team that can do more, not fewer things.
View Topics & BookWhat the 5% of AI transformations that actually scale do differently
From survival pressure to momentum: the real people side of AI adoption
Designing for more: how to use AI to double revenue, not just cut headcount
Judgment vs. intelligence: what makes your expertise more valuable now, not less
A thought doer,
not a thought leader.
Christine Reichenbach spent years as a Future of Work leader at VMware in Silicon Valley. After being laid off with the Broadcom acquisition at 34 weeks pregnant, she built two businesses from scratch using AI as the engine — and proved, with pre/post measurement, that it worked.
She sits at the intersection of design thinking, Six Sigma process discipline, and organizational design. When she leaves, the team is more capable, not more dependent.
About Christine