Leadership wants AI at scale. Now.
You need people to adopt it.
Most companies deploy AI, run training, and hope for adoption.
Months later, usage is low and leadership is questioning the investment.
You don't want to be that story.
The Challenge
Leadership says you're becoming an AI-enabled company. Scaling AI across departments—maybe company-wide.
That's not just about deploying tools. It means people changing how they work.
Leadership wants hundreds (or thousands) of employees using AI to drive:
- •Revenue generation
- •Cost savings
- •Productivity gains
Fast.
The usual playbook:
Months later:
Some teams using it
Most trained but not using it daily
Different departments, conflicting approaches
Leadership asking: "Why did we spend $1M+ on licenses that aren't delivering ROI?"
What Actually Drives Adoption
People don't resist AI because they're stubborn.
They're protecting:
- •Job security as roles evolve or disappear
- •Expertise and standing — the credibility that once made them indispensable
- •Relationships with teams they trust and depend on
Once you understand what they're protecting, you can address it AND get adoption.
What works:
Active Sponsors
Not just town hall endorsements
Peer Champions
Who can actually help, not just promote
Real Work Learning
Integrated into daily tasks
Community Wins
Peer-to-peer sharing
Value Communication
Not corporate announcements
Measure What Matters
Track adoption and business results, not vanity metrics
How I Work
I design adoption strategies and build the infrastructure that makes them work.
building transformation programs and adoption campaigns
+ others
employees impacted by programs
in productivity gains and cost savings
Why this matters for AI:
I use AI extensively in my own work—agents for stakeholder analysis, content design, adoption diagnostics.
I understand what makes AI useful versus frustrating.
When you're figuring out "how do we get teams to use this?"—I help you design the answer.
What Makes This Different
I'm not here to fix a broken transformation.
I'm here to design one that works from the start.
Most consultants:
Called in when things fail → Crisis management
My approach:
Partner before crisis → Strategic building
What this looks like:
Design the adoption strategy
Build the full infrastructure (sponsors, champions, learning, communications, community, measurement)
Transfer capability to your team
How we engage depends on where you are. Some clients need full partnerships from design through transfer. Others need workshops to design their approach. Others need advisory as they scale.
The shift:
Becoming an AI-enabled company isn't about deploying tools—it's about people changing how they work.
That requires designing conditions where new workflows become natural.
Not hoping adoption happens.
Proof
AI/Data Upskilling
Built a program that upskilled 1,000+ professionals through real project work. They didn't just learn—they became practitioners.
Thousands of administrative hours eliminated. Millions in cost savings.
Platform Adoption
A key SVP was blocking rollout. We understood what they were protecting and got peers to help address it. They became an advocate.
Scaled from 10 to 46 business units in 8 months. $3M+ in annual productivity gains.
Change at Scale
A 4-person team couldn't support 20+ initiatives. We built tiered services, playbooks, and a practitioner community.
4x scale with the same core team. Reduced external dependency.
Is This Right for You?
You're in the right place if:
Scaling AI company-wide or across multiple departments
Need adoption that drives revenue, cost savings, or productivity
Want to design this right from the start
Open to creative approaches beyond standard change management
Want to build internal capability, not consultant dependency
This probably isn't the right fit if:
Still in early pilot (<50 people)
AI already showing strong adoption
Need technical implementation help
In crisis mode needing immediate rescue
Let's Talk
Book a 30-minute call. We'll talk about your AI rollout, what's blocking adoption, and whether this approach fits.
No pitch. No pressure. If it doesn't fit, I'll tell you.