As the regulatory landscape grows more complex, the role of the Ethics and Compliance professional is shifting from manual oversight to strategic orchestration. At DocuSign, we’ve moved beyond the “hype cycle” to deploy emerging technologies that solve real-world friction.
In this working session, led by Hemma Lomax and Ashley Dubriwny, we’ll pull back the curtain on our journey integrating AI and digital assistants into the fabric of our global program. We’ll discuss how we are leveraging intelligent tech to:
- Humanize Global Comms: Tailoring engagement across borders without losing the personal touch.
- Predictive Regulatory Tracking: Moving from reactive reading to proactive monitoring.
- Dynamic Risk Assessment: Using data-driven insights to identify vulnerabilities before they manifest.
- Real-Time Navigation: Enabling employees with instant, “point-of-need” guidance to ensure compliance is a seamless part of their workflow.
Strengthen and invigorate your organization’s approach to ethical leadership with an interactive deep dive into lessons from game-based learning, ethical skill-building (beyond compliance), and AI. In this session, the team behind the award-winning game Quandary will demonstrate how research-backed game mechanics and AI chatbot learning tools can build durable “ethical muscle memory.” With a particular focus on the game’s recent innovations in AI ethics, Shelly London (former senior corporate executive, long-time NYU Stern adjunct professor, and Quandary founder) and Scot Osterweil (MIT Education Arcade, Learning Games Network) will lead a conversation on equipping employees with the skills to navigate high-stakes challenges that have no one “right” answer. Attendees will leave with a thoroughly research-backed framework for using serious play to drive employee engagement, mitigate risk, and foster ethical decision-making skills up and down the corporate ladder. Additionally, participants will gain exclusive early access to explore Quandary’s new ethics learning tools.
Artificial intelligence has woven its way into many business practices and processes, and E&C programs are no exception. In this session, hear from panelists as they discuss how they’ve used AI innovations for monitoring and detection, training and communications, and data management and reporting. Panelists will share both success stories and obstacles as they’ve climbed the growth curve in putting AI to
work in their E&C programs.
In this session, join Mitratech’s Laura Jacobus and Nicola Barker as they explore how to move beyond “check-the-box” governance and build a practical, scalable AI governance operating model that supports innovation while maintaining accountability, transparency, and ethical oversight. We’ll cover designing governance as a continuous process, applying governance controls proportionate to AI capability and risk, working through a real-world scenario, building a clear AI governance RACI, and identifying immediate next steps.
Conflict of interest disclosures often contain valuable risk signals but uncovering them at scale can be time consuming. This session demonstrates how AI can streamline COI review by analyzing patterns, surfacing anomalies, and supporting clearer, data-driven decisions. We’ll discuss real-world use cases, governance considerations, and practical steps for implementing AI in a way that enhances both compliance effectiveness and employee experience.
This session, led by Lilian Lustre, will highlight how Sanofi is using data and AI to modernize compliance oversight, with a special focus on our SAP Concur AI–driven expense monitoring solution. Through the Assurance Function Analytics (AFA) data lake, we integrate enterprise systems to detect risks at scale and enable real time insights. A flagship example is the automation of travel and expense approvals, where AI now reviews 70% of transactions, reducing payment time from 7 to 2 days and cutting auditor workload by nearly 70%, while significantly improving fraud detection and identifying recurring behavioral patterns. These advances illustrate how data science and responsible AI are reshaping assurance functions—making monitoring more efficient, targeted, and proactive, and reinforcing our global commitment to integrity.
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
Walk away ready to build: Leave with real outputs and prompts you can use right away
This session, led by Lilian Lustre, will highlight how Sanofi is using data and AI to modernize compliance oversight, with a special focus on our SAP Concur AI–driven expense monitoring solution. Through the Assurance Function Analytics (AFA) data lake, we integrate enterprise systems to detect risks at scale and enable real time insights. A flagship example is the automation of travel and expense approvals, where AI now reviews 70% of transactions, reducing payment time from 7 to 2 days and cutting auditor workload by nearly 70%, while significantly improving fraud detection and identifying recurring behavioral patterns. These advances illustrate how data science and responsible AI are reshaping assurance functions—making monitoring more efficient, targeted, and proactive, and reinforcing our global commitment to integrity.
This session, led by Cargill’s Senior Director of Ethics, Compliance, and Security, Samantha McMacken, explores how AI and automation are transforming compliance into a more agile, efficient, and strategically influential function. Through practical examples related to case management, data analysis, and workflow optimization, participants will learn how Cargill has improved accuracy, streamlined operations, and unlocked new insights using enterprise tools like Microsoft Copilot/Power Platform and ChatGPT. This session will also provide participants an opportunity to share how they’ve been leveraging AI and automation and ask questions.
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).