The capstone connects policy, risk tiering, data governance, model approval, human oversight, monitoring, exceptions and maturity.
CAPSTONEAI GOVERNANCE & RISK
AI Governance & Risk Capstone
Design the governance operating model for a fictional enterprise running internal RAG, customer AI, autonomous agents, MCP tools, external providers and self-hosted models.
The enterprise has 20,000 employees, regulated data, global users, several providers and a growing AI CoE.
Define the risk framework, use-case lifecycle, approval gates, roles, evidence, exceptions, continuous monitoring and first-year metrics.
REMEMBEREnterprise AI governance is the discipline of making accountable AI decisions repeatable.
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