I help established teams turn AI from scattered experimentation into measurable workflow acceleration — so they can move faster, improve consistency, and generate real business value without adding more manual work or complexity.
The Real Problem
"Teams are experimenting with AI. But they're not getting measurable workflow value from it."
The tools exist. The budgets are being spent. But high-friction workflows remain — and disconnected AI experiments aren't fixing them. The problem isn't adoption. It's the absence of a practical workflow designed around AI from the start.
Identify the highest-friction workflow, its business consequence, the stakeholders it affects, current-state process gaps, and a clear measurable success target. This is where we find the real drag.
Design the future-state workflow — where AI fits, where human review still matters, what assets or systems need to exist, and critically, what should not be automated yet.
Deliver a practical prototype direction, adoption plan, measurement framework, and next-step roadmap so the team can act — without you needing to become the full implementation team.
A selection of published AI workflow engagements where I served as technical advisor, architect, and thought partner — from concept through delivery.
A few beta spots are open — and yes, the rate reflects that.