Ask Fin to expose its assumptions
Ask for evidence, possible explanations and a bounded next action rather than an unsupported prediction. Broad prompts can produce broad answers that fail to resolve a practical marketing decision.
An AI analyst is most useful when its answer can be checked against a defined workspace, period and measure. Questions that demand a confident verdict from incomplete evidence encourage an answer broader than the available records support. Ask for the observation, possible explanations and the evidence needed to distinguish them.
A worked example
Instead of asking why marketing failed, a hypothetical reviewer asks which supported categories changed between two completed months, which KPIs contributed and where evidence was missing. The follow-up asks whether a configuration change could explain the movement. A plausible explanation remains a hypothesis until the relevant source or implementation record supports it.
How to apply it
- Specify the workspace, completed period and business question in the request.
- Ask which source records and definitions support each conclusion.
- Require a separate list of uncertainties and one checkable next action.
What the result can establish
Fin can support investigation; its response does not prove causation or execute a campaign repair. Verify important calculations and source references before assigning work. Keep the resulting task specific enough that a human owner can confirm completion and later compare the relevant KPI.
Reference: NIST: AI Risk Management Framework.
Supporting documentation
NIST: AI Risk Management FrameworkGoogle: helpful, reliable content