AI and Automation in Operational Risk: Revolutionizing Controls, Monitoring, and Resilience
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Speaker : Syed Haydar Hussain
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When : Wednesday, May 14, 2025
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Time : 03 : 00 PM EST
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Syed Haydar Hussain is a leading expert in operational risk, AI-driven risk management, and automation. As the founder of Arischio Consulting, he has over 20 years of experience advising banks, insurers, and fintech companies on risk governance, regulatory compliance, and resilience strategies. Syed specializes in integrating AI into risk frameworks, enhancing automation in risk controls, and ensuring compliance with evolving regulatory standards.
With a dynamic and engaging teaching style, Syed simplifies complex AI concepts into actionable insights, making this session accessible and practical for risk professionals at all levels. Through interactive discussions, live demonstrations, and case studies, he ensures participants leave with a clear roadmap for leveraging AI in operational risk management.
AI and automation are revolutionizing the way organizations manage operational risk. This course explores how AI-powered tools can improve risk identification, control effectiveness, incident response, and resilience planning. It covers:
- Introduction to AI and Automation in Operational Risk – Understanding key concepts, AI technologies, and their applications in risk management.
- AI-Driven Risk Identification and Monitoring – How AI models analyze vast data sets to detect anomalies, fraud, and emerging threats.
- Automating Operational Risk Controls – Practical examples of automated control testing, compliance monitoring, and workflow automation.
- AI in Incident and Crisis Management – Using AI for real-time incident response, root cause analysis, and predictive risk mitigation.
- Regulatory Considerations and Ethical AI Use – Overview of regulatory expectations, governance frameworks, and ethical challenges of AI-driven risk management.
- Hands-on Exercises – Live demonstrations of AI risk tools and automation workflows.
- Case Studies – Real-world examples of organizations successfully implementing AI in operational risk management.
By the end of this course, attendees will understand how AI and automation can be leveraged to strengthen their organization’s risk management framework, enhance monitoring capabilities, and improve resilience in an increasingly complex risk environment.
Areas Covered
- Introduction to AI and automation in risk management
- AI-driven risk identification and predictive analytics
- Automating controls for operational risk management
- AI-based fraud detection and cybersecurity monitoring
- AI in regulatory compliance and reporting automation
- Ethical considerations and regulatory expectations for AI use
- Case studies of AI adoption in financial services and other industries
- Practical exercises and demonstrations of AI tools
Who Should Attend
- Chief Risk Officers (CROs)
- Operational Risk Managers
- Compliance and Regulatory Professionals
- IT and Cybersecurity Professionals
- Data Scientists and AI Specialists in Risk Management
- Internal Auditors
- Senior Executives and Board Members
Why Should You Attend
Operational risk is evolving rapidly, and organizations that fail to integrate AI and automation into their risk management practices risk falling behind. Manual risk assessments, reactive incident management, and static controls are no longer sufficient in today’s fast-paced, digital world. AI and automation offer a game-changing opportunity to:
- Detect emerging risks faster through predictive analytics.
- Automate controls to reduce human error and operational inefficiencies.
- Enhance fraud detection and cybersecurity defenses.
- Improve regulatory compliance through continuous monitoring and automated reporting.
- Reduce costs and free up risk professionals to focus on strategic decision-making.
This interactive session will introduce attendees to AI applications in operational risk, provide hands-on exercises, and offer real-world case studies. Whether you are new to AI or looking to refine your understanding, this masterclass will equip you with the knowledge and tools needed to integrate AI into your organization’s risk management framework.
Topic Background
Artificial Intelligence (AI) and automation are transforming the way organizations manage operational risk. Traditional risk management approaches often rely on manual processes that are time-consuming, reactive, and prone to human error. With the rise of AI-driven analytics, machine learning models, and automation tools, organizations can now proactively monitor risks, enhance controls, and improve resilience in real-time.
Financial institutions, insurers, and other regulated industries are increasingly adopting AI for risk assessment, anomaly detection, fraud prevention, and compliance monitoring. However, implementing AI-driven risk management requires a solid understanding of its capabilities, limitations, and best practices. This course provides a practical introduction to AI in operational risk, ensuring participants can effectively leverage these technologies to strengthen their organization’s risk framework.
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$160.00
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