AI in audit isn't coming. It's here. Attendees will learn the skills that separate auditors who use AI from auditors who are transformed by it: how to move beyond basic prompt engineering into context engineering (architecting AI systems and workflows that embed your audit methodology, professional skepticism, and institutional knowledge), how Model Context Protocols (MCPs) let AI agents connect directly to your audit data sources, and how to orchestrate teams of AI agents while keeping the auditor firmly in the loop.

Format - Interactive workshop style: live demos, real-time exercises, and gamified audience participation throughout.

Learning Objectives:

  • Apply context engineering techniques to embed your audit methodology into your AI systems, moving well beyond basic prompting
  • Learn best practices for the Auditor-in-the-Loop framework that amplifies professional judgment rather than replacing it
  • Evaluate and govern MCP-based tools using a practical vetting checklist your team can implement immediately
  • Design agent orchestration strategies for your real audit scenarios

Speaker

Take a look at our speaker scheduled for this event

Richard Penfil

Data Science Manager AI Audit Ops
AssureSwarm

Countdown to the Event

See you in 19 days 5 hours 32 minutes
  • 19
    Days
  • 5
    Hours
  • 32
    Minutes
  • 33
    Seconds
Register By
November 12, 2026 2:59 PM
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