AI implementation strategist
I help teams make AI useful at work.
Strategy, workflow design, and proof for organizations that are done collecting demos and ready to build operating systems people will actually use.
Founder of AI Adopters Club, read by 13,000+ people trying to turn AI from novelty into leverage.
Approach
The work is simple.
The execution is not.
01
Find the AI work worth funding
I help teams distinguish between AI that changes the operating model and AI that just generates activity. That means focusing on revenue, margin, speed, or decision quality.
02
Redesign the workflow around the tool
Most teams do not fail because the model is weak. They fail because the workflow never changed. I work on the system people use every day, not just the prompt they saw once.
03
Measure the gain with real business metrics
Hours saved is rarely enough. I care about execution quality, throughput, conversion, cost, and whether the team will still use the system six months later.
What to read first
These pieces explain the thesis.
If you want to understand how I think about AI ROI, adoption, and implementation failure, start here.
AI Strategy
95%
Your team uses AI daily and you still see no ROI
BCG finds 95% of companies waste AI budgets automating busy work instead of revenue-generating functions.
AI Strategy
42% abandonment rate
AI Adoption Isn't a Training Problem. It's a Habit Problem.
AI adoption fails because companies focus on training instead of redesigning workflows to make AI the default path.
AI Strategy
41 AI use cases
Hilton Deployed 41 AI Use Cases. Three Paid Back in Six Months.
Hilton runs 41 live AI systems; three delivered measurable ROI within six months across operations.
Start here
Three useful ways into the site.
Work together
If AI needs to become part of how the team actually works, we should talk.
The fastest starting point is a conversation about the bottleneck, the workflow, and the metric that matters.