• Examine emerging ethical risks facing public sector organizations.
• Strengthen governance structures to improve transparency and accountability.
• Apply real world case studies to identify gaps in ethical oversight.
• Implement best practices for fostering ethical decision making.
• Enhance organizational culture to support integrity and public trust.

Strengthening procurement governance through effective internal controls, proactive fraud risk management and practical lessons drawn from real cases to enhance transparency, accountability and protection of public funds.

• Strengthen procurement governance by applying robust internal controls that enhance transparency, accountability, and compliance.
• Identify and mitigate fraud risks through proactive risk assessment, monitoring mechanisms, and control design.
• Apply practical lessons from real-world procurement cases to safeguard public funds and improve decision-making.

• Rethinking Risk in the Age of AI and Automation: Explore how automation and AI are shifting where risk resides, from manual processes to data, models, and system dependencies, and whether this shift truly increases risk or simply changes its nature.
• Building Trust in AI and Automation through Internal Controls: Understand how control assessments can provide confidence in automation and AI-driven processes by ensuring reliability, transparency, and appropriate oversight.
• Uncovering Control Dependencies and Strengthening Accountability: Identify critical dependencies across systems and teams, translate them into clear, actionable accountability, and explore practical approaches to assessing these dependencies.
• Keeping Control Assessments Relevant to Sustain Trust and Create Value: Demonstrate how agile control assessments and visualized process mapping make assessments more relevant to stakeholders, enabling better adaptation to evolving risks, identification of gaps, and sustained trust in highly automated, AI-driven environments.
• Beyond Compliance: Internal Controls as a Strategic Enabler: Discover how a modern internal controls functions must move beyond check-the-box compliance to support operations, enhance decision-making, and align with organizational objectives.

• Strategies for strengthening ties with management during the management action plan phase to ensure buy-in and sustainable remediation.
• The support that a strong internal audit communication strategy can offer – focused on mission, purpose, and value-add- to dismantle the “us vs. them” mentality and build organizational trust.
• Integrating risk awareness: the approach of moving beyond siloed fixes can show management how follow-up activities feed into the broader organizational resilience and ethical governance.

• Assess how AI-driven automation is reshaping risk management, compliance obligations, and governance frameworks.
• Identify emerging regulatory, ethical, and operational risks associated with AI adoption across business functions.
• Implement effective oversight models to ensure transparency, accountability, and human-in-the-loop decision-making.
• Mitigate algorithmic bias, data integrity issues, and model risk through robust controls and validation practices.
• Align AI innovation with regulatory expectations and enterprise risk appetite in a rapidly evolving digital landscape.

• Strengthen leadership accountability to support ethical governance.
• Promote organizational values that encourage integrity and transparency.
• Embed risk awareness into everyday decision making processes.
• Apply real world examples of leaders shaping strong control environments.
• Foster a culture that supports compliance responsibility and trust.