Tag: AI

The Top Internal Audit Articles of 2025

Last year in this space, we wrote about a profession emerging from a period marked by uncertainty, disruption, and rapid change. As 2024 turned into 2025, internal auditors were still grappling with the aftershocks of the pandemic, accelerating technological change, geopolitical instability, and questions about where—and how—they could add the Read More

Survey: AI Adoption, Limited Resources Top Challenges for Internal Audit

A new survey of global internal audit leaders finds that the profession is being challenged by three converging forces: persistently tight resources, the rise of AI, and a demand for role redefinition. The report, 2026 Focus on the Future, conducted by AuditBoard, a provider of AI-powered global platforms for connected Read More

How to get started using ai in internal audit

How to Get Started in Using Artificial Intelligence in Internal Audit

For years, the internal audit profession has watched artificial intelligence from the sidelines — intrigued, occasionally skeptical, and increasingly aware that the sidelines are not a place to stay for long. Now, with generative AI reshaping industries and predictive analytics powering risk management across functions, internal auditors are asking a Read More

Auditing AI

AI Is Here, and It Needs Internal Auditing Now More Than Ever

GUEST BLOG POST Artificial Intelligence is no longer a futuristic concept. It’s here, embedded in everything from recruitment software and customer service chatbots to financial forecasting tools and fraud detection systems. But with this unprecedented power comes unprecedented risk. From biased decision-making to data-privacy violations, AI systems are capable of Read More

Poor Data Readiness Is Plaguing Corporate AI Projects

A new research study finds that nearly half of all artificial intelligence projects fail, underperform, or are delayed, despite major investments in AI. The survey indicates that poor data readiness is the leading roadblock to AI execution, driving increased costs, stalled innovation, and lost revenue. The study was released by Read More

Implementing AI in internal audit

ISACA Launches First Advanced AI Audit Certification

Artificial Intelligence literacy tops the list of the 15 fastest-growing skills professionals need to stay competitive in today’s environment, according to a new LinkedIn report. Designed to meet the needs of audit professionals who are facing an evolving tech and compliance landscape with AI at the forefront, ISACA has introduced Read More

Survey: Internal Audit Use of Artificial Intelligence Growing Rapidly

A new survey finds that internal auditors are increasingly leveraging artificial intelligence to complete audit work. The survey, conducted by global information and software company Wolters Kluwer, finds that 39 percent of internal auditors are already employing AI and a further 41 percent intend to adopt AI in the next 12 months. Read More

Auditing Risk Management

Top Five Use Cases for Applying GenAI in Risk Management

Risk management teams can increase their efficiency and drive better risk insight and mitigation by using generative AI tools in five ways, according to Gartner, an IT research and advisory firm. “GenAI offers ERM teams a unique opportunity to expand their capabilities without significant investments,” said Joel Backaler, Director Analyst Read More

Internal audit leaders say they are underfunded

Report: Nearly Half of All Internal Audit Functions Are Underfunded

A new report finds that many internal audit leaders say they don’t have the funds to sufficiently run their departments, even as many reported increases in funding. According to the 2025 North American Pulse of Internal Audit Survey, nearly half of respondents said their internal audit departments were either insufficiently Read More

Implementing AI in internal audit

CAE Responsibilities in Implementing Artificial Intelligence in Internal Audit

Every news feed, newspaper, magazine, and even social media feed is inundated with the latest trends purporting to simply demonstrate the ways in which businesses should implement artificial intelligence. There is a wealth of insights within these articles. There is also, however, a failure to grasp that one of the Read More