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We're exploring the game-changing role of AI in the world of auditing. From enhancing efficiency to uncovering new insights, AI is not just transforming but disrupting traditional audit practices. Join us as we share expert insights and real-world examples that highlight the profound impact of AI on the audit industry. Whether you're an experienced auditor or just curious about the future of auditing, this post will provide you with valuable perspectives on how AI is reshaping the field.
This blog is based on an insightful conversation between our host Rob Valdez and guest speaker Saul Sony, a pioneer in integrating AI with audit practices. By the end of this post, you’ll have a clearer understanding of the impact of AI on auditing and how it can enhance your professional practice.
The adoption of AI in auditing is no longer a futuristic concept; it’s happening now. AI tools are helping auditors increase efficiency and accuracy while managing risks more effectively. Rob Valdez, who has extensive experience in technology-driven auditing, shares how AI technologies like large language models are transforming traditional audit methods. 
Rob’s journey into tech-driven auditing started from an industry background before he pursued a master's in accounting. His tech-savvy nature quickly made him a go-to person for tech-related audit tasks, eventually leading him to specialize in cybersecurity audits and earn a Certified Information Systems Auditor (CISA) certification. This diverse experience laid the foundation for his expertise in AI and audit integration.
AI, often misunderstood, is fundamentally about simulating learning and intelligence through technology. Since the release of OpenAI’s ChatGPT in 2022, the interest in AI has surged. AI involves complex statistics and mathematics, making it a powerful tool for handling vast amounts of data, which is a core part of accounting and auditing.
As companies digitize their records, auditors can now access more data in its native digital form. AI technologies facilitate intuitive data mining and natural language-based audit procedures. For example, platforms like MindBridge help auditors perform large-scale data analysis and journal entry testing using machine learning. Another tool, Uplink, allows auditors to write audit procedures in plain English and automatically test documents uploaded by clients.
One common misconception is that AI will replace auditors. Rob argues that AI will instead increase the demand for accounting services. As AI handles more routine tasks, auditors can focus on more complex, value-added services, creating a virtuous cycle of demand and technological advancement.
Financial services lead in AI adoption due to their extensive use of data and established machine learning models. Banks and financial institutions have been early adopters, using AI for high-volume programmatic trading and complex data analysis. This positions them to rapidly integrate AI into their auditing processes.
Adopting AI in auditing involves complex governance processes, from risk analysis to establishing policies and decision-making frameworks. Companies must ensure proper data training sets, maintain transparency, and manage biases in AI outputs. Early adopters like BDO and the Big Four accounting firms are navigating these challenges and setting examples for the industry.
Ethical considerations are paramount when using AI in auditing. AI systems must be trained on unbiased data to avoid perpetuating discrimination. For instance, a financial model that unintentionally biased against women led to significant backlash for a tech giant. Auditors must ensure AI models align with ethical standards and professional responsibilities.
Looking ahead, AI promises continuous assurance and better-integrated data systems, reducing data silos. As auditors adopt more technology, there will be more seamless integration of AI tools, enabling real-time auditing and enhanced decision-making capabilities.
AI is transforming auditing by increasing efficiency and accuracy.
Auditors need to focus on ethical considerations and proper governance when implementing AI.
Financial services are leading the way in AI adoption.
Continuous learning and adaptation are crucial for auditors to stay ahead.
AI’s impact on auditing is profound and growing. By leveraging AI, auditors can enhance their practice, improve accuracy, and provide more value-added services. At MY-CPE, we are committed to providing resources and courses to help you stay ahead in this evolving landscape.
AI automates routine tasks, allowing auditors to focus on higher-value activities and reduce errors.
Ethical considerations include ensuring unbiased training data, maintaining transparency, and adhering to professional standards.
Financial services lead in AI adoption due to their extensive use of data and established machine learning models.
No, AI will augment auditors' capabilities, increasing demand for their expertise in more complex tasks.
Imtiaz Munshi, CPA
Jason Dinesen
