Assess the technology architecture and operating environment supporting AI, including model and data pipelines, access and entitlements, production deployment, cloud and compute infrastructure, GPU utilization and cybersecurity dependencies, ensuring appropriate controls exist as AI moves from development into production. Develop an enterprise view of AI risk through meaningful metrics, risk indicators and senior-level reporting, translating technical risks across models, deployments, infrastructure, third parties and controls into clear assessments of residual risk for senior management, committees and boards.