The RAISE Framework

AI Can Transform Finance. Governance Makes It Trustworthy. Book Description When AI Touches the Numbers, Governance Is No Longer Optional. Most organizations know AI is changing financial reporting but very few have governance structures that keep pace with it. The RAISE Framework closes that gap with a structured, practical governance model built on five integrated principles — Responsible, Auditable, Interpretable, Secure, and Ethical — purpose-built for the financial reporting and audit environment. The book moves through six parts covering governance misalignment, regulatory context, control failure, operational risk, and governance design. Real-world case studies from Zillow, Wirecard, and the Post Office Horizon system show how governance failures develop, how financial risk accumulates, and how organizations recover control. The final section delivers the complete RAISE Governance Model, its lifecycle application, and a structured 90-day implementation roadmap. Thus, by the end of the book, you will know how to govern AI inside financial processes, build audit readiness, and keep accountability where it belongs, with the people responsible for the numbers. What you will learn ● Identify governance misalignment when AI executes financial decisions, while boards and executives retain accountability. ● Apply the RAISE Framework to embed AI governance within financial reporting and audit control structures. ● Evaluate AI control failure patterns including automation bias, model drift, vendor dependency, and judgment override. ● Establish audit readiness through evidence quality, documentation standards, and governance effectiveness measures. ● Integrate RAISE lifecycle governance across model design, deployment, monitoring, and change management. ● Implement a 90-day AI governance roadmap to build organizational accountability and regulatory confidence. Table of Contents Governance Misalignment Restoring Control and Accountability AI Decision Ownership and Accountability AI Governance Frameworks and Control Standards AI Impact on Financial Reporting Processes AI in Audit Practice and Governance AI Control Failure and Governance Breakdown Evidence, Risk, and Assurance of AI Control Financial AI Systems in Practice AI Assurance: Redefining Audit Processes Vendor Control in AI Governance Judgment Overrides in AI Systems Governance Patterns and Control Integration Case Studies in AI Governance Failure and Control Recovery Audit Readiness, Evidence Quality, and Governance Effectiveness The RAISE Governance Model RAISE Lifecycle Governance First 90 Days of AI Governance Reference List Index