AI Governance Without the Legal Fog — A Practitioner's Guide to the EU AI Act

As AI governance becomes a competitive differentiator, organizations that proactively implement governance and risk management practices will be better positioned to win enterprise customers, accelerate procurement, and build lasting trust. Those that do not will face costly redesigns, regulatory exposure, and deals that stall in security review. Amy will spend an hour exploring how the EU AI Act, emerging U.S. regulatory requirements, and evolving enterprise customer expectations are reshaping the way software companies build, deploy, and govern AI systems. This session will provide a practical overview of the EU AI Act and the broader legal, regulatory, and governance landscape affecting AI adoption and examine how founders and operators can build governance frameworks that enable innovation while managing legal, operational, and reputational risks. Attendees will gain a working understanding of the EU AI Act's key requirements, risk classifications, and compliance obligations, while also exploring how U.S. regulators, enterprise customers, insurers, and other stakeholders are increasingly demanding demonstrable AI governance, accountability, and oversight. The session will examine how organizations can build practical governance frameworks that support innovation while creating the documentation, controls, and accountability structures needed to meet evolving regulatory, customer, and business expectations.

Whether your company has customers, employees, or operations in Europe, serves enterprise customers in the United States, or is simply building AI products for long-term enterprise adoption, attendees will leave with practical guidance to scale AI responsibly and prepare for evolving global regulatory requirements.

Topics include:

• EU AI Act Fundamentals – Understanding the EU AI Act, who it applies to, its risk-based framework, and the practical compliance obligations facing organizations that develop, deploy, or use AI systems
• Beyond the EU AI Act: The Emerging AI Governance Landscape – Understanding how the EU AI Act, NIST AI RMF, FTC expectations, state AI laws, privacy requirements, cybersecurity obligations, and enterprise procurement demands are converging to shape AI governance expectations
• Building a Governance Program – Building practical AI governance programs that support responsible development, deployment, monitoring, testing, documentation, and accountability without slowing innovation
• Evidence, Documentation, and Risk Management – Managing legal, cybersecurity, privacy, operational, and reputational risks while creating the documentation, controls, and decision-making records increasingly expected by regulators, customers, business partners, and investors
• Audit and Compliance Readiness – Preparing for AI compliance reviews, customer due diligence inquiries, procurement requirements, AI audits, and emerging global regulatory obligations
• Governance as a Growth Lever – How strong AI governance accelerates enterprise adoption, strengthens customer trust, shortens procurement cycles, and supports global growth

The goal is for attendees to leave with a clear understanding of how the EU AI Act and the broader global AI governance landscape are reshaping AI governance, the practical steps they can take today to build trusted, compliant, and scalable AI products, and a practical governance framework they can begin implementing immediately.