Today’s anti-corruption risk landscape extends far beyond traditional bribery concerns, with organizations facing increasingly interconnected risks involving third parties, cartels and TCOs, sanctions, trade compliance, geopolitical instability, and emerging technologies. As regulators continue to emphasize the importance of risk-based compliance programs, organizations must ensure their risk assessments are dynamic, data-driven, and capable of adapting to an evolving global environment. In this interactive workshop, participants will work through the process of conducting an anti-corruption risk assessment for a fictional multinational company, developing a practical framework they can immediately apply within their own organizations.

Discussion Topics Include:

• Building a comprehensive, risk-based anti-corruption risk assessment from planning through implementation
• Identifying and prioritizing corruption risks across business units, geographies, government touchpoints, third parties, acquisitions, joint ventures, and strategic partnerships
• Incorporating emerging risks—including cartels, TCOs, sanctions, customs and trade risks, geopolitical instability, artificial intelligence, and evolving enforcement priorities—into enterprise risk assessments
• Developing practical risk-scoring methodologies and prioritization frameworks
• Conducting effective stakeholder interviews to identify operational risks that may not be apparent through traditional compliance reviews
• Leveraging data analytics, transaction testing, and continuous monitoring to validate risk assumptions and identify hidden areas of exposure
• Designing meaningful heat maps, risk registers, and executive dashboards that effectively communicate risks to senior leadership and Boards of Directors
• Translating assessment results into prioritized remediation plans, resource allocation decisions, and measurable compliance program enhancements
• Documenting a defensible risk assessment process that aligns with current regulatory expectations and leading practices