Decision and workflow map
Map the consequential decision, the systems and people involved, the AI touchpoints, and the current control model.
When AI is already in the workflow
AI is already shaping an important workflow. Scaling it should not force a choice between more review and more exposure.
Before giving AI more responsibility, leadership needs to know what is shaping the consequential action, where control burden enters, and what must change for the workflow to scale economically and defensibly.
ASSESS
DECIDE
ROUTE
DECIDE
ROUTE
Decision Control Assessment
Answer the expensive question before expanding AI authority.
Can this organization give AI more responsibility in this workflow without letting control burden, decision exposure, and operating cost overwhelm the value of the automation, and what must change before it does?
One consequential workflow. One bounded diagnostic.
The Assessment is for organizations already piloting, preparing for production, operating, or scaling AI where a real decision or action is being influenced.
What we examine
Follow the decision, not just the model.
The work stays centered on the consequential action and the operating conditions around it.
Reliance and control burden
Examine how outputs are relied on, where review and rework accumulate, and where human oversight currently enters.
Exposure and operating conditions
Examine consequence, reversibility, policy and regulatory constraints, uncertainty, and the conditions under which the workflow is expected to operate.
What you receive
A decision path, a control diagnosis, and a next move.
The deliverables are meant to support an investment and operating decision, not create another open-ended advisory project.
How it runs
Three to four weeks, centered on one workflow.
This is the standard structure, adjusted to the workflow and evidence available.
Week 1
Decision and workflow discovery
Frame the consequential action, operating context, participants, current AI influence, and evidence available.
Week 2
Current-state and control analysis
Map the workflow, current oversight, handoffs, review burden, and operating constraints.
Week 3
Economic and risk analysis
Assess the control burden, exposure, reversibility, uncertainty, and business implications of the current model.
Week 4
Recommendations and path definition
Define what should proceed, change, be tested further, move into Build, Prove, or Scale, add persistent decision control where warranted, or stop.
Terms
Bounded enough to budget. Deep enough to make a real decision.
The price is based on one consequential workflow. Complexity increases with the number of contributing systems and the depth of analysis required.
Typical range depends on workflow complexity and the number of contributing systems.
No forced fit. The right conclusion can be proceed, redesign, test further, move into direct Build, use DCP for ongoing decision control, or stop.
When this is not the right entry point.
If the primary question is whether a pilot actually improved clinical, operational, or economic outcomes enough to justify scaling, start with Pilot Efficacy & Scale Readiness. The Decision Control Assessment is for a different question: what decision-level control is required as AI shapes consequential actions.
Bring one consequential AI workflow.
We will use the fit call to determine whether this Assessment is warranted or whether a different path makes more sense.