This checklist standardizes AI project intake to support informed governance and approval decisions. It captures essential information such as submitter details, business function, AI classification, platform location, and project purpose. The checklist emphasizes documenting data types and sources, assessing privacy and security risks, and identifying intended users and geographies. Additional steps include evaluating business value, training and testing data, and defining auditing protocols. By structuring AI intake consistently, organizations can identify risks early, align stakeholders, and ensure responsible AI deployment.

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