01 Is your business data organized and accessible? Consider accuracy, ownership, consistent formats, and how quickly teams can find trusted information.
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02 Are your core processes documented? Think about repeatable steps, decision rules, handoffs, and known exceptions.
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03 Do employees already use AI at work? Include approved tools, informal experimentation, and practical AI skills.
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04 Does leadership support AI adoption? Consider sponsorship, budget, decision-making speed, and willingness to test new approaches.
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05 Can you manage AI security and privacy concerns? Rate your policies for sensitive data, tool approval, access, compliance, and human review.
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06 Can your current systems connect with new tools? Consider APIs, integrations, cloud access, and support from internal or external technical resources.
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07 Does your team have capacity to adopt a new workflow? Think about available time, training, internal champions, and openness to change.
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08 Can you measure whether an AI project succeeds? Consider baseline metrics such as time, cost, quality, response speed, or conversion.
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