Free · 15 min
AI Automation Preparedness Assessment
Eighteen questions across six dimensions. No signup required. Your scores map onto the four layers of the Operational AI Framework — see exactly where you stand and what to close first.
Data Substrate
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Decision Logic
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Execution Path
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Evaluation Loop
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Governance
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Operator Adoption
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01
Data Substrate
Q1.1Our operational data is accessible in real time, not just warehoused overnight.
Q1.2We have a single source of truth for the signals that drive daily decisions.
Q1.3Data quality issues are detected automatically, not after they cause problems.
02
Decision Logic
Q2.1The rules that drive routine decisions are documented and version-controlled.
Q2.2We can trace any automated decision back to the inputs and logic that produced it.
Q2.3Decision quality is measured against outcomes, not just compliance.
03
Execution Path
Q3.1Approved decisions flow to execution without manual re-entry.
Q3.2Execution systems expose the state of every in-flight action.
Q3.3Failed or stuck actions page an owner without human polling.
04
Evaluation Loop
Q4.1We measure the quality of our AI/automation outputs on a defined cadence.
Q4.2We have an evaluation set that catches regressions before they ship.
Q4.3Our metrics would survive a board-level review.
05
Governance
Q5.1We have a documented policy for what decisions can be automated vs. escalated.
Q5.2Every automated decision is observable to a human owner.
Q5.3We can roll back any automated system in under an hour.
06
Operator Adoption
Q6.1Operators actively use the AI systems — not just leadership.
Q6.2Frontline teams have shaped the tools they depend on.
Q6.3We measure adoption, not just availability.
Overall readiness
0/100
0/18 answered
The score updates live as you answer.
The score updates live as you answer.