

Chatbots and Interplay of Multiple Compliance Systems
Oct 8, 2025
Join compliance expert Matt Kelly, author of Radical Compliance, as he dives into the complexities of AI in compliance from Vilnius. Discover the ethical dilemmas surrounding chatbots, particularly concerning employee confidentiality and whistleblower protections. Matt reveals how these innovative tools can lead to unintended risks if not properly managed. They also explore the challenges of multiple compliance systems working together and the importance of corporate culture and robust IT controls in navigating the evolving regulatory landscape.
AI Snips
Chapters
Books
Transcript
Episode notes
Large Tech Firm’s Policy Chatbot Example
- A very large tech company built an internal policy chatbot to help 23,000 employees ask policy questions in plain language.
- Matt learned this at SCCE and used it to explore downstream risks from tracking those queries.
AI Lowers The Barrier To Whistleblower Re-Identification
- AI can enable matching of policy-chat queries to later anonymous hotline reports and thereby risk deanonymizing whistleblowers.
- This risk arises because AI simplifies cross-dataset linking that was previously hard and slow.
Ring-Fence Policy Chatbots
- Ring-fence a policy chatbot so it only accesses policies and procedures and cannot be combined with hotline data.
- Treat hotline systems as separate lines and avoid wiring cross-dataset queries unless explicitly authorized and logged.