Making AI Governance Auditable and Accountable Through BCRs and ISO Frameworks

AI governance is no longer a “nice to have”: it is something you may need to evidence under audit. In this panel, privacy, legal and AI governance leaders discuss what “audit ready” really looks like and how to get there without losing momentum. We will translate EU AI Act obligations—risk management, human oversight, transparency, incident readiness and third-party governance—into practical controls by mapping them to ISO 27701 (privacy information management) and ISO 42001 (AI management systems). We will then connect those controls to binding corporate rules audit cycles to create a coherent, global accountability model. Using a practical case study, attendees will take away what good looks like in practice: evidence-based controls, consistent documentation and scalable audit practices that withstand customers’, auditors’ and regulators’ scrutiny.

What you will learn:

• How to make AI governance audit ready by translating EU AI Act obligations into concrete, testable controls mapped to ISO 27701 and ISO 42001. 
• How binding corporate rules audit cycles can be leveraged as a global accountability mechanism to evidence AI governance consistently across a multinational group. 
• What “good” looks like in practice for regulators, auditors and customers, based on a real-world case study with scalable documentation and audit practices.