Your company runs well without AI.
But it could run better with it.
Helping companies build AI into their operations, one smart change at a time.
The pattern I keep seeing
You built a successful company. 50 people. Maybe 100. Maybe more. The systems work, customers are happy, growth is steady.
But lately, during your evening walks or weekend coffee, a thought keeps surfacing:
"If I built this company from scratch today, it would look different."
Not because anything's broken. But because AI represents a new form of leverage – like people, capital, and code – and your operations weren't designed with it in mind.
The questions multiply faster than answers:
Who should own AI initiatives? Your Head of Product? Engineering? A new hire?
Where do we even start when every team could benefit?
How do we move fast without breaking what's working?
What if we build on tools that won't exist in six months?
How do we bring our teams along without creating resistance?
Meanwhile, your engineering team experiments with AI on the side. Marketing tries new tools then abandons them. Everyone talks about AI in meetings, but nothing systematically changes.
You're not looking for transformation. You don't need efficiency theater. You need intentional evolution.
There's a systematic way through this
After leading AI integration during 20→500 person scaling, then helping other companies navigate this exact challenge, I've learned something important:
Successful AI integration isn't about tools or transformation. It's about making the right changes in the right order.
Start with the way you truly work
Map where AI creates genuine leverage in your specific operations – not generic use cases, but the exact points where your teams feel friction.
Build systematic adoption
Design pilot programs that generate learning, create early wins, and naturally expand as teams see results.
Enable teams to think with AI
Help teams evolve from using AI tools to thinking AI-first in their work – making them more capable, not replaced.
Why this works differently
Most AI consultants come from one of two worlds: technical implementation or business strategy. They understand either how AI works or how businesses operate. Rarely both.
I spent five years as Chief of Staff, then two years leading AI integration while scaling a company. This unique combination means I understand:
How operations actually function day-to-day (not how org charts say they should)
What AI can realistically do today (and what's still hype)
How to sequence changes so teams adopt rather than resist
What "good" looks like for AI-integrated operations
The result: systematic integration that builds on your strengths while evolving how work gets done.
Real Results and Outcomes
What this looks like in practice
Every company needs something different. Some need to redesign operations for AI. Others need someone to build the actual systems. Most need help bringing their teams along. Here's how we approach each:
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Moving beyond tool experiments to designing operating systems where AI becomes part of how teams naturally work. This means rethinking workflows, decision points, and team interactions to create sustainable competitive advantage.
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Creating the actual workflows and systems that connect people, process, and technology. Not strategy documents – hands-on implementation that turns potential into working solutions your teams can use tomorrow.
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Bridging the gap between AI potential and daily execution. Working with both leadership and teams to build technical capabilities while addressing the human side of change – making teams more capable, not replaced.
The approach adapts to where you are. Maybe you need all three. Maybe you need deep focus on one. The constant is practical implementation that gets real results while building capabilities that last.
About the work
I'm building OneTwo Growth Studio after seeing the same pattern repeatedly: established companies know AI is important but can't figure out how to integrate it systematically while running their business.
Operations Expertise & Foundation
Former management consultant with five years as Chief of Staff during 20→500 person scaling. Deep understanding of how people, process, and technology actually connect in growing companies.
AI Implementation Experience
Two years leading AI integration across engineering, operations, and go-to-market teams. Built systems that scaled without breaking.
Current Focus
Working with established companies to systematically integrate AI into operations. The focus is on creating an intentional change that builds on existing strengths.
Let's have that conversation
If you're thinking about AI during your evening walk but struggling to make progress during your work day, let's talk.
Based in Seattle, operating globally.