AI Deployment Canvas: From Pilot to Production and Audit This instructional module outlines a structured approach to AI deployment and governance, emphasizing a repeatable framework for organizations. It introduces an AI Deployment Canvas designed to help prioritize, implement, and monitor AI solutions effectively, starting with a Use-Case Scoring Grid to assess potential AI applications based on ROI, data sensitivity, and risk. The module then guides users through a Pilot-to-Scale Pipeline, ensuring human oversight and defining success metrics for controlled rollouts. Crucially, it details the creation and maintenance of an AI Register for transparency and incident management, alongside a methodology for Quarterly AI Bias & Drift Audits to maintain model integrity and compliance. The overarching goal is to enable organizations to adopt AI responsibly, mitigating risks and ensuring audit-readiness.Source: AI Deployment Canvas: From Pilot to Production and Audit