AI Governance Readiness Assessment for Financial Institutions

What the assessment reviews

The assessment asks whether AI use is owned, inventoried, approved, monitored, reported, and evidenced across six governance domains. It is designed for teams that need a fast but defensible view before an internal audit, board update, third-party risk review, or supervisory conversation.

• AI policy and approval paths
• Vendor and third-party AI risk
• Model risk governance and validation
• Data, privacy, and consumer-impact controls
• Board, audit, and reporting cadence
• Evidence and control readiness

What you receive

After completing 30 questions, you receive an overall readiness score, domain-level view, and prioritized gap summary for internal planning. The score is not a compliance opinion; it is a planning artifact that helps the team decide which gaps need owners, evidence, and escalation.

How to use the results

Use the score to separate quick documentation fixes from deeper governance work. A missing owner, stale inventory, or absent board reporting cadence can often be remediated quickly. Gaps involving customer-impacting AI, vendor-controlled models, validation evidence, or monitoring thresholds usually need risk, compliance, legal, technology, and business-owner review.

• Route high-risk AI and model gaps to the appropriate governance forum.
• Convert missing evidence into action items with owners and due dates.
• Use domain-level scores to brief executives without burying them in question-level detail.
• Retest after policy, vendor, model-risk, or evidence-tracking updates.