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The internal audit function can help the enterprise pursue innovation responsibly by encouraging the development of risk management early in the AI lifecycle.
Internal audit has a data problem, and the widespread adoption of Artificial Intelligence (AI) is making it impossible to ignore.
<p>A DAPM Design Companion</p> The Problem No One Can Name <p>Your AI project is working. The output is good. It’s</p>
AI governance is waiting its Ferdinand Pecora, counsel to the Senate Banking Committee in the 1930s, who built the evidentiary foundation for every protector system that followed.
The Big Four Firm is globally embedding enterprise-scale agentic AI into its assurance engagements, meaning that audits will now use the technology in its firms worldwide.
The PCAOB found that audit committee chairs are increasingly turning to their auditors to understand AI's impacts on a company's financial reporting and controls.
AI has a tendency to tell leaders what they want to hear—a deep positivity bias.
Will the profession wait for the AI equivalent of 1929 before applying what it already knows? The answer begins with examining what the current AI assurance landscape provides and...
Audit firms are being asked to do more without getting more time, more budget, or more headcount. At the … The post How to choose the best AI tool for auditors appeared first on...
The auditing profession stands at a familiar crossroads. As AI-powered audit tools automate vouching, testing, and other foundational procedures, … The post The AI evolution in a...
New framework moves AI oversight from transaction approval to policy design, giving CFOs a governance model for autonomous finance operations
The AUDIT Lab delivers data-driven research and practitioner insight directly to CAEs, audit committees, and risk leaders navigating a changing profession. The post Cherry Hill Adv...
Production AI systems embedded in automated workflows, robotics-assisted operations, customer support systems, and compliance environments carry measurable behavioral risk that inc...
In the fast-evolving domain of artificial intelligence, particularly among conversational AI systems, a critical challenge has emerged: the imperative need for enhanced social judg...
It’s 2 AM during busy season. Your senior auditor just found a revenue recognition error that manual sampling never caught. … The post The validation gap: Why most audit data can’t...
Artificial intelligence finance analysis systems are the automated systems that detect anomalies and potential fraud in tax reports and financial statements using machine learning...
Per the SEC’s 2026 examination priorities, regulators are placing a greater focus on registered investment advisers’ (“RIA”) compliance policies and procedures, making it essential...
Every LLM app I audited had the same problem. Users type real data into AI features. Names, emails, social security numbers, credit card numbers, medical details. The app takes th...
AI is a powerful tool for tax professionals, but with a smaller, more automated and less forgiving IRS, firms need to have the right policies in place.
In 2026, AI shopping assistants do not choose the loudest brands. They choose the clearest ones.
We are well into 2026, and the lessons from last year’s busy season are still fresh. But here’s the … The post Mid-year audit tech reality check: Is your technology delivering on...
Все мы привыкли, что нейросети — это про креатив, быстрый поиск и «накидай мне презу на завтра», но что происходит, когда вы выводите LLM из зоны комфорта написания стишков, саммар...
The enterprise AI ecosystem is shifting dramatically from human-in-the-loop experimentation to autonomous, agentic execution. This unprecedented adoption masks a systemic operation...
Why AI Governance needs a new take? This recent interesting article pointed out that the chat inter...
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