AI Readiness Checklist
Review problem fit, data access, ownership, risk and adoption before budget is committed.
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Review problem fit, data access, ownership, risk and adoption before budget is committed.
Ask JAI about thisPlan discovery, prototype, evaluation, handover and production controls.
Ask JAI about thisDefine acceptable use, escalation, ownership, monitoring and review cadence.
Ask JAI about thisCheck data access, tool permissions, human approval, logs and failure handling.
Ask JAI about thisCompare candidate use cases by value, complexity, data readiness and risk.
Ask JAI about thisEstimate time saved, implementation cost, support effort and adoption risk.
Ask JAI about thisCapture the workflow, systems, stakeholders, desired outcome and constraints.
Ask JAI about thisAssess provider fit, privacy, support, security and integration requirements.
Ask JAI about thisSet practical expectations for employee AI use without pretending policy alone solves governance.
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