2026 Essential AI Insights for Investigative & Compliance Teams
How AI Is Reshaping Whistleblowing, Investigations, and Compliance
Artificial intelligence is rapidly changing how organizations manage risk, investigate misconduct, and build trust with employees. But successful adoption depends on more than technology; it requires transparency, governance, and a clear understanding of how people experience AI in the workplace.
The 2026 Essential AI Insights for Investigative & Compliance Teams report brings together findings from multiple Case IQ studies, offering a comprehensive view of how AI is transforming whistleblowing, investigations, and compliance programs across regions and industries.
Developed in partnership with Dr. René Arseneault of the University of Laval and Andy Miller, SVP of Analytics & AI at Case IQ, this report draws on insights from over 2,400 employees and practitioners worldwide.
What This Report Covers
This research explores AI across the entire case lifecycle, from incident intake to resolution, while examining how trust, fairness, and governance influence adoption.
- Whistleblowing & Incident Reporting in the Age of AI
- Employees are increasingly open to AI-powered reporting tools, especially when they improve confidentiality and psychological safety
- Nearly 7 in 10 employees report no concerns using AI-driven whistleblowing tools
- Transparency remains critical: 83% expect organizations to disclose how AI is used
- Managing the Entire Case Lifecycle with AI
- AI delivers the greatest value in case management, analytics, and reporting
- 39% of investigators still identify evidence gathering as a major bottleneck where AI can reduce manual effort
- Human judgment remains essential, particularly in triage and sensitive decision-making
- AI delivers the greatest value in case management, analytics, and reporting
- Compliance in the Age of AI
- AI is viewed as a way to strengthen fairness, consistency, and proactive risk detection
- Trust varies by region, reinforcing the importance of cultural context and ethical governance
- Organizations that frame AI as employee protection see higher acceptance
- AI is viewed as a way to strengthen fairness, consistency, and proactive risk detection
Key Insights You’ll Gain
This report provides a clear view into how artificial intelligence is being adopted across investigations, whistleblowing, and compliance programs—and how employees and practitioners perceive its role. You’ll gain insight into where AI delivers the greatest value across the case lifecycle, from improving report completeness and streamlining case management to supporting analytics and final reporting. The findings also highlight where human judgment remains essential, particularly in triage and sensitive decision-making. In addition, the report explores how organizations are approaching AI governance, why transparency and disclosure are critical to employee trust, and how ethical guardrails can reduce concerns around fairness, privacy, and bias. Together, these insights help leaders understand not just how AI is used today, but how to deploy it responsibly and effectively.
Why It Matters
AI adoption in investigations and compliance is accelerating, but trust remains the deciding factor in whether these tools succeed. With nearly half of organizations planning to adopt or expand AI in the near term, teams must be prepared to balance efficiency gains with ethical responsibility and transparency. This report helps organizations assess their readiness for AI, identify practical use cases that reduce administrative burden, and implement governance-first strategies that protect employees while strengthening investigative consistency. By understanding how employees experience AI-enabled tools and what drives acceptance across regions and cultures, leaders can make informed decisions that improve reporting confidence, reduce risk, and build stronger, more credible compliance programs.
Whether you’re exploring AI for the first time or refining an existing strategy, these insights provide a roadmap for responsible, people-centered AI implementation. Download the report to see our full findings and analysis.
About the Expert:
Andy Miller is the SVP, Analytics & AI at Case IQ. Andy is focused every day on translating company data into insights that can be utilized to manage enterprise risk, especially fraud and corruption risk. He is passionate about innovating with analytics, evaluating and employing advanced analytical techniques in an effort to stay ahead of the latest fraud schemes and bad actors. Prior to that, Andy held unique roles with Mylan Pharmaceuticals, most recently leading their visual analytics capability globally. Preceding that role, and as a part of the Internal Audit department, Andy established the company’s audit analytics program. Further, Andy has led dozens of SOX, Compliance and Operational audits around the world. Andy began his career with Ernst & Young (EY) serving large, multinational clients in their advisory practice.
About the Researcher:
Dr. Rene Arseneault is an assistant professor of human resources at the University of Laval. His research focuses include recruitment and selection, personality, job design and cross-cultural differences in the workplace. He has published over a dozen academic peer-reviewed articles and presented his work at top-tier conferences around the world.
