About this Event
As organisations increasingly adopt artificial intelligence, understanding governance, risk management, and compliance is essential for responsible and secure business operations. AI Governance, Risk and Compliance for Business Professionals explores how to identify AI-related risks, understand regulatory requirements, protect sensitive data, and establish effective governance policies and controls. You will learn to recognise potential bias, improve transparency, strengthen accountability, and maintain appropriate human oversight in AI-supported decisions. Through workplace scenarios, case studies, simulations, and practical exercises, you will explore ways to assess risks and develop an initial AI governance checklist for your organisation. Whether you work in leadership, compliance, risk management, technology, legal, or business operations, this session will help you make more informed decisions about responsible AI adoption.
01 | The Session At A Glance
Location
San Francisco, California, USA
Duration
1 Full Day – 8 Hours
Delivery
Instructor-led classroom training
Format
In person classroom training (Virtual session available upon request)
Language
English
Credits
8 PDUs / Training Hours
Certification
Course Completion Certificate
Refreshments
Enjoy Complimentary Refreshments (Beverages, Lunch, and Snacks are included)
NOTE: The course will be delivered by experienced local trainers.
We aim to assign a qualified professional trainer based in or near the advertised training location. The trainer’s details and professional profile will be shared with registered participants before the session.
02 | Why This Session?
Organisations use AI tools to analyse information, support decisions and automate business processes. These applications raise concerns involving data privacy, security, transparency, accountability and compliance with applicable requirements.
This session covers AI governance principles, risk assessment, regulatory considerations and responsible AI practices. Participants examine how organisations can identify AI-related risks, establish appropriate controls, document decisions and maintain human oversight.
03 | What You Can Take Into Your Work
- Explain AI governance principles and responsibilities.
- Identify common risks associated with AI systems.
- Recognise relevant regulatory and organisational requirements.
- Apply basic AI risk assessment principles.
- Identify privacy, security and transparency concerns.
- Explain accountability and human oversight requirements.
- Recognise the role of AI policies and documentation.
- Develop an initial checklist for reviewing organisational AI use.
04 | Is This Session For You?
This session is intended for professionals involved in AI adoption, governance, risk management and compliance.
- Business Leaders and Executives — reviewing AI governance responsibilities and organisational policies.
- Risk and Compliance Professionals — examining AI-related risks, controls and compliance obligations.
- Legal Professionals — understanding legal considerations associated with AI use.
- IT Managers and Technology Leads — reviewing AI systems, access controls and oversight.
- Data Protection and Privacy Professionals — addressing privacy and responsible data handling.
- Project and Programme Managers — considering governance checks in AI-related projects.
- Business Analysts and Operations Professionals — assessing AI use cases and operational risks.
- AI and Data Professionals — understanding responsible AI practices and governance requirements.
05 | The Strive Wisdom Approach
Practical: Examine workplace scenarios involving AI use, risk assessment and governance decisions.
Human-Centred: Consider how AI-supported processes affect employees, customers and other stakeholders.
Responsible: Address accountability, transparency, privacy, security and human oversight.
Workflow-Oriented: Examine how governance checks, risk reviews and approvals fit into organisational processes.
Applied: Use structured exercises to review AI use cases and identify relevant governance considerations.
06 | From Individual Learning To Team Practice
In-House Session
Want to train your entire team?
Strive Wisdom can deliver this session as an in-house programme adapted to an organisation's responsibilities, workflows and professional context.
The content can address relevant AI use cases, internal policies, risk management procedures, data-handling practices and approval processes. Teams can examine how AI-related risks are identified, documented and reviewed within their operations.
Contact us at [email protected] to explore in-house training options or get answers to your questions.
© 2026 StriveWisdom. All Rights Reserved.
Agenda
The Seven Practical Areas
Module 1: Introduction to AI Governance
Info: • Understand AI governance principles and purpose.
• Identify organisational roles and responsibilities.
• Examine accountability in AI-supported decisions.
• Icebreaker
Module 2: AI Risk Identification and Assessment
Info: • Identify operational, ethical and technical risks.
• Examine potential impacts on people and organisations.
• Understand basic risk assessment methods.
• Case Study
Module 3: AI Laws, Regulations and Compliance
Info: • Explore relevant AI regulatory requirements.
• Understand internal policies and compliance obligations.
• Identify the need to monitor regulatory changes.
• Group Discussion
Module 4: Responsible AI, Ethics and Transparency
Info: • Examine fairness, transparency and explain ability.
• Identify potential bias and discrimination concerns.
• Consider human oversight in AI-supported decisions.
• Role Play
Module 5: Data Privacy, Security and Protection
Info: • Identify privacy risks in AI data processing.
• Examine data access, confidentiality and security controls.
• Understand responsible data-handling practices.
• Simulation
Module 6: AI Governance Frameworks, Policies and Controls
Info: • Examine AI governance frameworks and their purpose.
• Identify policies, documentation and approval requirements.
• Consider monitoring and accountability procedures.
• Hands on Activity
Module 7: AI Governance Implementation and Monitoring
Info: • Identify governance checkpoints across the AI lifecycle.
• Examine monitoring, incident reporting and review.
• Develop an initial AI governance checklist.
• Workshop Exercise
Event venue & nearby stays
Regus - CA, San Francisco - Mid-Market, 1390 Market Street, Suite 200, San Francisco, United States
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