AI Governance Framework Implementation Guide

This guide outlines the essential components of establishing an AI governance framework within an organization. It emphasizes that setting up AI governance is not a one-time task but an ongoing process that requires continuous improvement and monitoring. The document details the necessary capabilities for a successful AI program, including defining AI use cases, understanding and assessing available data, and documenting models and their results. It also stresses the importance of verifying and monitoring AI models to ensure data quality and compliance with regulations. Key critical capabilities highlighted include data governance, data quality and observability, data privacy and security, and data lineage. The framework serves as a roadmap for organizations seeking to build a scalable and trusted AI program, ensuring that AI initiatives align with business objectives and regulatory requirements.