1
Begin with a defined research question and select the approved financial and internal data sources that should inform the analysis. Ask for specific comparisons, drivers, or evidence rather than a generic company summary. Open the supporting source material behind important figures and claims, and reconcile differences when multiple documents use different periods or accounting definitions. Do not treat generated analysis as investment advice or a substitute for financial review. Sensitive internal information should only be connected under the organization's approved permissions and data-governance rules.
2
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.