It’s 2026, and teams continue to remain under pressure to justify spend, demonstrate impact, and respond to increasingly sophisticated questions from boards and regulators. Activity metrics alone are no longer enough, leaders are being asked to provide assurance.
This interactive 90-min workshop explores how E&C leaders can translate program activity into defensible, decision-ready insights that resonate with boards and executive leadership. Participants will examine:
- What boards and executive leadership actually care about
- Where most E&C reporting falls short
- The importance of benchmarking and program assessment data
- How to create dashboards, and clear executive narratives
This hands-on AI session is built for Ethics & Compliance leaders who want to see what AI can actually do today. Join Roxanne Petraeus (CEO, Ethena) for a guided walkthrough and live demos of several of the most common AI tools that will help you discover practical use cases for AI in training and comms.
From turning policies into podcasts to generating videos from prompts, automating translations, and customizing tone, Roxanne will show you what’s possible right now and help you create actual outputs you can bring back to your program. See how today’s best tools can modernize training, communications, and analytics, and where AI still falls short, so you can focus on what really works.
This 90-minute session is designed for hands-on participation, so bring your laptop and also your curiosity. You’ll leave with an AI-built artifact (a video, podcast, or course outline) and the confidence to take your first (or next) step with AI in compliance.
Key Takeaways:
- Try It Yourself: Use several common AI tools that power real compliance workflows
- Learn by Doing: Build actual outputs, no vendor red tape required
- Build vs. Buy: Learn when to DIY vs onboard a vendor
As Chief Compliance Officers, we have spent years defending technology investments based on a well-understood formula of efficiency and risk reduction. However, Artificial Intelligence has radically changed the variables. This session provides a roadmap, moving past the “Proof of Concept” phase, and addresses three investment scenarios: justifying the cost of AI, managing the hidden lifecycle costs of “DIY” internal tools, and defending domain-specific spend against the “just use Copilot” pushback.
We’ll discuss an AI Investment Framework to build a narrative that drives your business case through the review processes, including:
- Financial Viability: Quantifying risk mitigation and business protection over simple time savings.
- Operational Impact: Shifting the narrative from simple efficiency to effectiveness.
- Governance Architecture: Fit checks with governance models (e.g., AI usage policies, privacy, frameworks).