What happens when AI can actually understand your audit?
What changes when AI has access to the context of your audit—not just isolated documents or prompts?
Why tune in?
Every session combines a focused discussion with live audience Q&A, giving you direct access to the people who review evidence every day.
What makes an audit MCP genuinely useful?
The difference between simply connecting AI to data and giving it structured, audit-specific context it can actually act on. Plus, what teams should look for when evaluating MCP capabilities.
What can AI do differently when it has that context?
Practical examples like answering audit questions, surfacing missing information, helping teams understand what’s outstanding, and reducing the time spent hunting through systems.
What does it actually mean for AI to “understand” an audit?
How MCP gives AI access to the context behind controls, evidence, requests, status, and audit history, not just isolated files or prompts.
Meet the people behind the conversation
James Fletcher
James leads integrations and platform connectivity at Thoropass, where he has helped build hundreds of connectors and launched the company’s MCP Server. His work focuses on bringing customer environments and AI directly into the audit process to make audits faster and more connected.
Put what you learned
into practice
Thoropass brings audit workflows, AI-native technology, and experienced auditors into one connected Audit Lifecycle Platform, helping teams spend less time managing audit logistics and more time strengthening their security and compliance programs.