Scope
This guide covers governance & controls for Predictions & Calibration. Availability depends on your tenant package, role and configured providers.
Purpose
Compare model predictions with what actually happened.
Expose sample size, uncertainty and model limitations.
Before you start
Correct tenant and project selected
Required source or provider is available
An accountable owner is identified
Test data can be separated from live activity
Procedure
- Identify the customer, financial, access or publishing consequence involved.
- Expose sample size, uncertainty and model limitations.
- Assign the minimum required roles and the accountable owner.
- Confirm consent, provider, tenant and approval requirements before activation.
- Inspect audit history and retain the evidence behind important decisions.
- Review access, configuration and exceptions on an agreed operating cadence.
Verify the result
Compare predicted versus actual using calibration measures. Confirm that the intended record, state, run or report is visible to another authorised operator and that its next owner is clear.
Completion checkpoint
The capability is in the intended state, evidence is current, exceptions are owned and the next action can be understood without a separate status message.
Controls and limitations
Expose sample size, uncertainty and model limitations. Predictive, attribution and recommendation outputs support operator judgement; provider and data limitations remain relevant.