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.
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.
Table of Contents
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Governance Misalignment
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Restoring Control and Accountability
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AI Decision Ownership and Accountability
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AI Governance Frameworks and Control Standards
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AI Impact on Financial Reporting Processes
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AI in Audit Practice and Governance
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AI Control Failure and Governance Breakdown
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Evidence, Risk, and Assurance of AI Control
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Financial AI Systems in Practice
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AI Assurance: Redefining Audit Processes
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Vendor Control in AI Governance
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Judgment Overrides in AI Systems
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Governance Patterns and Control Integration
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Case Studies in AI Governance Failure and Control Recovery
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Audit Readiness, Evidence Quality, and Governance Effectiveness
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The RAISE Governance Model
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RAISE Lifecycle Governance
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First 90 Days of AI Governance
Reference List
Index
