AI integration into operational risk management
View Agenda- Explore the benefits of implementing generative artificial intelligence (GenAI) into operational risk
- Understand the industry state of play on the use of GenAI
- Review the key risks GenAI poses
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About the course
GenAI represents a must-examine area for op risk professionals, in terms of understanding the risks it poses and exploring the opportunities it provides. This interactive course explores how GenAI can revolutionise op risk management, enhancing efficiency and accuracy.
Participants will delve into a variety of case studies, ranging from defining remediation actions for loss events to preparing content for risk committee reports. They will also analyse the wider roll-out of GenAI for op risk management stakeholders across the three lines of defence.
Sessions focus on the practical ways to integrate GenAI, including understanding relevant regulatory requirements and the dual role of op risk teams. The integration of different subtopics of op risk frameworks will be addressed, such as risk and control self-assessments and key risk indicators, with instructors providing tools for implementation and identification.
This course, led by two industry experts, will include live polls, case studies, group work and a Q&A
Pricing options*:
- Early-bird rate: save up to $800 per person by booking in advance
- 3-for-2 rate: save over $3,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber
- Season tickets: save up to 60% - request price breakdown
*T&Cs apply
Learning objectives
- Examine the dynamic GenAI regulatory landscape
- Discuss the dual role of op risk teams
- Benchmark your progress with peers
- Develop a plan on how to make a difference in your workplace
Who should attend
- Operational risk
- Enterprise risk
- Compliance
- Operations
- Governance
- IT risk and security
- Directors
- Senior executives
- Cybersecurity
Agenda
May 20–22, 2025
Live online. Timezones: Emea/Americas
- An introduction to AI and GenAI
- GenAI and op risk use cases
- GenAI: understanding the risk landscape
- External regulatory landscape and internal governance arrangements
- Integrating GenAI risks into an op risk framework
Tutor:
- Elena Pykhova, director and founder, TheOpRisk Company
- Manoj Kulwal, chief risk and AI officer, RiskSpotlight
Tutors

Elena Pykhova Risk Learning Faculty
Director and founder
The OpRisk Company
Elena Pykhova is award-winning risk expert, author, international trainer and educator. She is the founder of a boutique risk management consultancy, The OpRisk company, specializing in risk transformation, board and executive level advice on effective operational and enterprise risk management strategy, design and implementation. Elena is an author of a best-selling book, Operational Risk Management in Financial Services: A Practical Guide to Establishing Effective Solutions. She is a renowned educator, running public and in-house training courses in the UK and internationally for world-leading organisations including the London Stock Exchange Group Academy, Euronext, Risk.net, the Moller Center Cambridge University, and the Institute of Internal Auditors. Elena is a thought leader, influencer and founder of a prominent industry think tank, the Best Practice Operational Risk Forum. She is a former Director for Education at the Institute of Operational Risk and chair of the Expert Panel for the Association of Foreign Banks. Passionate about the discipline, she founded her training and consulting practice after 20 years of experience in senior roles at Fortune 500 companies.
Testimonials
“Elena is an excellent, fun and knowledgeable trainer”
“Elena was excellent at providing practical examples.”
“Elena is very knowledgeable and does not only share the information but is also able to explain and answer to question with good examples.”
“Elena is a very knowledgeable speaker…and her presentations keep me engaged throughout”
Manoj Kulwal
Pre-reading materials
- AI in banking risk management: exploring latest trends and use cases
- US Fed reveals its five use cases for generative AI
- Top 10 op risks: change brings challenges as banks splash the cash
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