AI-driven Risk Management Strategies
his course offers a comprehensive exploration of how Artificial Intelligence (AI) is transforming the risk management landscape. Participants will gain a strong foundation in key AI technologies—such as machine learning, natural language processing, and expert systems—and how these tools are reshaping traditional risk approaches. Through interactive sessions, real-world examples, and a practical group exercise, delegates will learn to apply AI for predictive risk analysis, real-time monitoring, and strategic decision-making. The course also addresses critical ethical and regulatory considerations, including algorithmic bias, fairness, and privacy compliance. By the end of the programme, participants will be equipped to design and implement AI-driven risk strategies, integrate AI into governance frameworks, and prepare for emerging trends such as generative AI and quantum computing. Ideal for professionals seeking to strengthen resilience, agility, and innovation in risk management.
Course outcomes:
- Understand foundational concepts of AI and its application in risk management.
- Apply AI technologies for risk prediction, detection, and mitigation.
- Leverage real-time data and AI-powered tools to enhance decision-making.
- Recognize and address ethical risks such as bias, discrimination, and transparency challenges.
- Ensure compliance with regulatory and ethical frameworks in deploying AI systems.
- Develop a strategic AI risk governance framework that integrates predictive and real-time analytics.
- Explore future trends in AI to future-proof organizational risk management practices.
Day 1: Predictive modelling, regulation and ethical considerations
Session 1: Foundations of AI in Risk Management
- Introduction to Artificial Intelligence (AI)
- Overview of AI technologies: ML, NLP, Computer Vision, Expert Systems
- Evolution from traditional to AI-driven risk management
- Understanding AI risk governance
Session 2: Predictive Risk Management with AI
- Implementing AI for risk prediction
- Using AI models for market crash and cyber threat forecasting
- Automation in monitoring and alerts
Session 3: Ethical & Regulatory Considerations
- Ethics in AI: Bias, fairness, transparency
- Regulatory frameworks (GDPR, AI ethics)
- Case examples: Algorithmic bias and privacy concerns
Day 2: Real-time risk monitoring, reporting and measurement against risk appetite
Session 4: Real-Time Risk Monitoring
- AI dashboards for live tracking
- AI in crisis management and decision-support
- Examples: Manufacturing, supply chain, cybersecurity
Session 5: Strategy & Group Exercise
- Group activity: Develop an AI risk management strategy
- Incorporating predictive, real-time, and ethical factors
- Presentation and peer feedback
Session 6: Future Trends & Risk Governance
- Exploring generative AI, quantum computing
- AI risk governance pillars: Proactive to resilient models
- Key takeaways and wrap-up discussion
Who should Attend?
- Risk Management Professionals
- Corporate Governance Officers
- Organisational Development & Transformation Specialists
- Line Managers, Team Leaders, and Supervisors
- Executives and Board Members
Subscription price – R2 880 per person.
Normal price – R3 880 per person.
Group discounts apply for 3+ people from the same organization.
This course only R1750 per person.
Subscription price – R1000 per person – Unlimited access to our online courses.
Format: – Zoom, Teams, Google meet
Subscription fee of R1 000 gives access to all online learning in a calendar year and access to our Shaping Future Leaders sessions (minimum of 60 hours of online training) and minimum 10 Shaping Future Leaders sessions.
All sessions are hosted by professional specialists with at least 30 years’ experience in the GRC, ESG and AI space.
Unlimited access to the Centre of Excellence.
Delegates should review the content and levels of the course they are registering for to ensure suitability and that they are registering for the correct course. Payment: Full payment must be received 7 working days prior to the course.
Cancellations must be submitted in writing to admin@nsa.edu.za no later than 7 working days before the start of the training.
- A cancellation fee of R700.00 will apply for any cancellations received after this period.
- If a cancellation is received 3 working days or less before the training, the full invoice amount will be payable.
- Proof of payment must be emailed to admin@nsa.edu.za.za before the training date.
- Substitutions may be made at no additional cost.
Delegates will be personally liable for the payment of the full registration fee in the event of non-attendance or failure to cancel in writing prior to the deadline of 7 working days. Unless the registration was completed after the stated timeframe, the delegate must make prior arrangements with NSA.
NSA reserves the right to postpone, reschedule, or cancel any service due to insufficient enrolments or unforeseen circumstances. In such cases, a full refund or option to reschedule will be offered. NSA endeavours to host the specified training on the date as advertised. However, if unforeseen circumstances arise or due to extenuating circumstances out of our control, NSA reserves the right to cancel the training. NSA does not store credit card details, nor do we share customer details with any 3rd parties. NSA reserves the right to make changes to the training program and to refuse any booking.
No delegate will be permitted to attend the training without the following:
- A signed and approved Purchase Order,
- Proof of payment, or
- A Commitment Letter on the company’s official letterhead, acknowledging the invoice and confirming the payment date. This letter must be signed by a Finance, Procurement, or authorised official responsible for final payment approvals.
All payments must be received before the training starts and no later than 7 working days prior to commencement. In the case of late registrations, special arrangements must be made with the relevant NSA representatives.
Dietary Requirements: (This only applicable to In-Person Attendance) – Dietary requirements received 3 days prior to the commencement of training can be accommodated.