ETHSUN AI Application Programme, Risk Management & Compliance
Artificial Intelligence for Compliance and Organisational Control
A 2-day AI Sprint designed for Risk, Compliance and GRC leaders who want to harness the full potential of artificial intelligence to strengthen risk management frameworks and meet evolving regulatory requirements.
Programme Overview
This 2-day AI Sprint is designed for Risk, Compliance and GRC leaders who want to harness the full potential of artificial intelligence to strengthen risk management frameworks and meet evolving regulatory requirements. Participants will learn to automate regulatory monitoring, enhance internal controls, improve fraud detection and optimise audit processes. Through live demonstrations, international case studies and immediately applicable tools, this programme enables participants to identify the highest-value AI use cases to improve resilience, compliance, transparency and organisational performance.
Format & Cohorts
Upcoming sessions
Open enrolment, register at any time
Each participant leaves with a concrete, organisation-specific AI Compliance & Governance Framework, a practical AI action plan ready for immediate implementation.
Curriculum
01AI for Risk Management & Compliance
- Intelligent regulatory monitoring and automated obligation tracking
- Compliance process automation and policy enforcement
- AI-assisted risk analysis and risk scoring
- AI-augmented GRC frameworks and governance dashboards
02AI for Audit & Internal Controls
- Continuous AI-driven audit and real-time controls testing
- Automating internal controls and compliance monitoring
- Anomaly detection and non-conformity identification
- Intelligent risk management dashboards and reporting
03AI for Fraud Prevention & Security
- AI-powered fraud detection and transaction surveillance
- Anti-money laundering (AML) and financial crime prevention
- Behavioural analytics and emerging risk identification
- Automated KYC and due diligence processes
04AI, Governance & Regulation
- Responsible AI governance frameworks and accountability
- EU AI Act, GDPR and international regulatory landscapes
- Ethics, transparency and algorithmic accountability
- AI risk assessment and model governance frameworks
Learning Outcomes
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