top of page
HOW AI BECOMES CAPABILITY
Selected work.
My work focuses on redesigning how work operates so AI becomes repeatable and scalable capability. These case studies show what that looks like across different organizations, scales, and stages.
I wasted so much time in my life with things it now does like that.
LEGAL TEAM MEMBER · GLOBAL FINANCIAL RISK INSTITUTE ·FROM STRUCTURED INTERVIEWS ACROSS ALL EMPLOYEES, 2025
METHOD
The work starts with how work actually move, then redesigns the conditions that allow AI to scale.
PATTERNS ACROSS CASES
What determines whether AI scales
-
Mental models → determines whether people trust outputs
-
Workflow structure → determines whether work is repeatable
-
Data and infrastructure → determines whether AI can operate reliably
-
Transfer and reuse → determines whether learning compounds
The same problem has appeared across every engagement: individual expertise that doesn't transfer, workflows that exist in parallel, and organizations that have adopted tools without redesigning work. The approach has been consistent across all of them.
bottom of page