Quarterly Review

A quarterly review is a scheduled assessment conducted every three months to evaluate AI system performance, compliance status, and governance effectiveness. These reviews examine model accuracy, bias metrics, data quality, and adherence to organizational policies to identify risks before they escalate. Quarterly reviews provide the structured cadence needed for enterprises to maintain oversight of AI deployments while allowing sufficient time between assessments to measure meaningful changes.

1 item

ResearchUS2026-07-30

Kriv AI Case Study Shows Quarterly Review Cadence and Risk Register as Baseline for Financial Services AI Governance

Kriv AI published a case study documenting how it built a centralized AI governance framework for a regional US financial services firm that lacked structured AI oversight. The engagement produced a formal risk register, a quarterly review cadence, and a continuous compliance monitoring function. Financial services compliance teams can use the documented approach as a template for model inventory, periodic assurance, and regulator-ready governance programs.

financial services risk register model inventory continuous monitoring quarterly review AI governance program Kriv AI