Stop wondering about AI.
Start building with it.
Helping companies find where AI creates real value, then building systems for their teams that actually work.
The Reality Check
You've got ChatGPT. Your team uses it daily. But deep down, you know AI should be doing more for your company.
And the questions about AI 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
Every AI solution feels either too generic ("use AI for customer service!") or too complex ("rebuild your entire data infrastructure!"). Meanwhile, you're running an actual business and need something that fits how your company works today.
You're right to want more. Let's build it.
What This Really Looks Like
Finding Your Leverage Points
I look at how work actually moves through your company. The real version. Where things get stuck. What takes forever. What your team does over and over.
Building Something Real
I build an actual working system. Sometimes I build it with your team. Sometimes I build it myself and hand it over. Depends on what makes sense.
The goal is something your team uses every day. Something that becomes part of how they work. Something that lasts.
Learning By Doing
Once you have one AI system that actually works, everything changes. Your team gets it. They see what's possible. They start spotting other opportunities.
Real AI integration happens through focused builds that prove the model and create momentum.
Why this works
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.
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 I approach each:
-
I learn how your company actually operates by looking at real work, real processes, real friction points. Quick, practical discovery.
-
We pick the opportunity and build it. Real code, real workflows, real integration with your existing tools. You see results while we're still working together.
-
Your team understands what we built and why. They can maintain it, expand it, or use it as a model for the next thing. You have momentum and knowledge to keep going.
The goal is to make 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.
Real Results and Outcomes
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 a real conversation
If you're ready to build something that works, let's talk.
We'll have a practical conversation about where AI could help and what we could build together.
Based in Seattle, operating globally.