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Begin with one business workflow whose inputs, outputs, and approval requirements are understood. Connect only the knowledge sources needed for that use case and define brand, policy, or workflow rules before broad deployment. Build or configure the application, test it against representative examples, and involve the people who currently own the process in evaluation. For generated content, retain human approval where statements create legal, financial, regulatory, or brand commitments. Expand access after the workflow has clear quality metrics and data permissions.

For a first evaluation, keep the scope small enough that you can compare the AI-assisted result with a known baseline. Record the configuration, model or workflow choices that produced the result so successful tests can be reproduced. If the product connects to external systems or private data, grant the minimum permissions required and review the provider's current security and data-handling documentation before expanding access.