[ OUTCOME ]
Define the outcome
What outcome are we trying to create?
[ SPECIALIZED ]
Most organizations are asking the wrong AI question. They’re asking “how do we add AI” when the real question is “what should our operating model look like in an AI-native world.” I design that operating model.
What it decides
What gets automated, what stays human, where AI creates advantage and where it creates risk.
The work where AI is actual leverage, not decoration.
Humans stay in control of the loop, but not as a redundant step that adds friction. Where a person adds judgment, they stay. Where they only add delay, the design changes.
Where AI introduces unnecessary risk or complexity, and should not go.
[ OUTCOME ]
What outcome are we trying to create?
[ PROCESS ]
Is the underlying process understood?
[ DESIGN ]
Deterministic or probabilistic. Automated or human.
[ GOVERN ]
Who owns it, who maintains it, who can change it.
Built for your industry, your workflows, and your risk tolerance.
A working model. It defines how AI operates in the business day to day: roles, decisions, governance and oversight, not just where AI could go.
Yes, or it can follow The Intervention when the diagnostic shows the operating model is the constraint.
Every engagement is fixed scope and quoted after a 30-minute conversation.