Context
Moving from rules to predictive models requires more than a new scoring method. Existing controls encode operational knowledge, while a model introduces new assumptions and failure modes. Run candidate models alongside the existing approach to understand those differences before changing live decisions.
Practice
- Shadow test a candidate service against agreed precision, recall and operational review criteria.
- Document retraining cadences, rollback paths and audit trails so stakeholders can inspect how decisions are made.
- Involve frontline reviewers in feature design and override policies.
Takeaways
- Quiet launches can expose blind spots before existing controls are retired.
- Evaluation, monitoring and training belong in the delivery plan from the start.
- Keep operational ownership explicit when predictive logic becomes part of a workflow.