InfoSec
Report
AI for auditing: 12 use cases to jumpstart your journey
What to know about AI
12 real-world use cases
6 steps for getting started
What's Inside
AI isn’t a novelty any longer — it’s a must-have for your internal audit team. Through automation, data analysis, and large language models (LLMs), AI can help you work more efficiently and gain a more complete picture of your risk environment.
Auditors shouldn’t be afraid of AI. Outputs still need to be validated, but what matters most is what humans can do with the insights AI generates: Take action. AI is an excellent opportunity to spend time on more strategic advisory work, fulfilling the key message of the Internal Audit Foundation’s Vision 2035 report.
In this KPMG and AuditBoard guide, you’ll find practical, real-life examples of how audit teams are using AI and a clear roadmap for adopting it. It explores foundational lessons, from understanding security risks to the essential "human in the loop" role.
Download your copy of AI for auditing: 12 use cases to jumpstart your journey for:
- Key lessons to keep in mind as you’re getting started.
- 12 use cases for AI in internal audit, from out-of-the-box options you can try immediately to higher-maturity capabilities.
- 6 steps to begin your journey today.
Loading form...
Related resources
Risk
Integrating scenario planning and technology for enterprise resilience
Connected Risk
Gartner® names AuditBoard a Leader in the 2025 Magic Quadrant™ for GRC Tools, Assurance Leaders
InfoSec
Beyond the Framework: Reflections on the Three Lines, Risk Taxonomies, and Emerging Challenges
Risk
Integrating scenario planning and technology for enterprise resilience
Connected Risk
Gartner® names AuditBoard a Leader in the 2025 Magic Quadrant™ for GRC Tools, Assurance Leaders
Discover why industry leaders choose AuditBoard
SCHEDULE A DEMO
