AI Literacy, Board Governance, and Future of Work for HR Directors and Board Members in Banking
11 – 15 May 2026
Sandton Centre
Johannesburg South Africa
Register Now! Limited Seats Available!
R19, 999.00 Per Delegate
Course overview:
The banking industry is undergoing one of the most significant transformations in its history. Rapid advances in artificial intelligence, automation, data analytics, cybersecurity, and digital banking are changing how banks operate, manage risk, serve customers, and make decisions. Traditional banking models are evolving as institutions face growing pressure to improve efficiency, strengthen governance, meet regulatory requirements, and remain competitive in an increasingly digital environment.
Artificial intelligence is already reshaping many areas of banking, including fraud detection, anti-money laundering monitoring, credit scoring, customer service, risk management, workforce planning, and regulatory reporting. While these technologies create significant opportunities for improved productivity, customer experience, and operational efficiency, they also introduce new risks related to bias, cybersecurity, privacy, regulatory compliance, reputational damage, and workforce disruption.
Boards are now required to provide stronger oversight of AI investments, digital transformation initiatives, cybersecurity threats, data governance, and workforce readiness. At the same time, HR leaders must help organisations prepare employees for new ways of working, future skills requirements, and the growing need for reskilling and upskilling
Programme Objectives
• Understand AI concepts and applications in banking
• Identify AI-related risks, including regulatory, operational, reputational, and cybersecurity risks
• Strengthen board-level governance and oversight of AI initiatives
• Understand workforce implications of AI in banking
• Develop strategies for reskilling and upskilling employees
• Implement AI governance frameworks specific to banking operations
• Prepare the organisation for a future-ready workforce
Who Should Attend
• HR Directors and Managers in banking
• Board Members of banks and financial institutions
• CEOs, Managing Directors, and Executive Directors
• Heads of Digital Transformation and Innovation
• Talent Management and Organisational Development Leaders
• Heads of Retail, Corporate, or Investment Banking Divisions
Course Outline:
Day 1: Introduction to AI and Strategic Impact in Banking
Module 1: AI Fundamentals for Banking Leaders
• Introduction to AI, machine learning, and automation
• Types of AI relevant to banking operations
• Key AI terminology and concepts
• Global AI trends in banking and financial services
Module 2: AI Applications in Banking
• Credit scoring and loan approval automation
• Fraud detection and anti-money laundering (AML)
• Customer service chatbots and digital assistants
• Regulatory reporting and compliance automation
• Predictive analytics for risk management
• AI in HR functions within banks
Module 3: Strategic Benefits of AI for Banks
• Enhancing operational efficiency
• Improving customer experience and engagement
• Supporting risk management and compliance
• Creating competitive advantage in digital banking
• Driving innovation in financial products and services
Practical Session
• Case study: AI transformation in a retail bank
• Group discussion: AI opportunities in participants’ banks
• AI readiness assessment for HR and board oversight
Day 2: AI Risks, Ethics, and Regulatory Compliance in Banking
Module 4: AI Risks Specific to Banking
• Operational risks: algorithm errors and model failures
• Cybersecurity and data privacy risks
• Regulatory and legal risks (e.g., central bank guidelines, GDPR, POPIA)
• Bias in AI credit scoring and HR decisions
• Reputational and customer trust risks
Module 5: Ethical and Responsible AI Use in Banking
• Principles of ethical AI and fairness
• Transparency and explainability of AI decisions
• Human oversight in AI-driven banking processes
• Employee and customer trust in AI systems
• Ethical dilemmas in AI adoption
Module 6: Regulatory Compliance and Governance
• Banking regulations impacting AI and data usage
• Data protection, privacy, and financial compliance
• Risk reporting and audit requirements
• Board oversight of AI compliance and control frameworks
Practical Session
• AI ethics and risk scenario exercise in banking
• Drafting an AI governance checklist for banking operations
Day 3: Board Governance, Oversight, and AI Strategy in Banking
Module 7: Board Responsibility for AI Governance
• Understanding board obligations in AI oversight
• Roles of board committees (risk, audit, governance) in AI
• Questions boards should ask management about AI initiatives
• Aligning AI strategy with business strategy
Module 8: Developing AI Governance Frameworks for Banks
• AI policies, procedures, and risk registers
• Vendor and third-party AI system monitoring
• Reporting AI performance and risk to the board
• Governance dashboards and KPIs for AI
Module 9: Strategic AI Planning in Banking
• Assessing readiness for AI adoption
• Identifying priority areas (loans, compliance, HR, customer experience)
• Budgeting and resource allocation for AI initiatives
• Roadmap development and change management
Practical Session
• Boardroom simulation: AI oversight decisions in a bank
• Drafting an AI governance framework and reporting template
Day 4: AI, Workforce Transformation, and the Future of Banking Work
Module 10: Impact of AI on Banking Workforce
• Jobs and roles affected by automation
• Human-machine collaboration in banking
• Hybrid and digital working models in banks
• Workforce resilience and agility
Module 11: Reskilling, Upskilling, and Talent Planning
• Identifying future skills needs for bank employees
• Upskilling programs for digital and AI competencies
• Leadership development in the AI era
• Succession planning for critical banking roles
Module 12: Organisational Culture and Employee Engagement
• Managing employee anxiety and fear of AI
• Building trust and engagement during transformation
• Employee wellbeing, mental health, and inclusion
• Strengthening culture in a digital-first bank
Practical Session
• Future workforce mapping for banking divisions
• Skills gap analysis workshop
• Group discussion: preparing employees for AI adoption
Day 5: Change Management, Action Planning, and Implementation
Module 13: Leading Change in Banks
• Change management principles for digital transformation
• Communicating AI initiatives to staff and stakeholders
• Stakeholder engagement strategies
• Managing restructuring or redeployment due to automation
• Building resilience and adaptability
Module 14: Creating a Future-Ready Bank
• Aligning AI, workforce, and organisational strategy
• Integrating people, technology, and business objectives
• Metrics and KPIs for AI and workforce performance
• Sustaining digital transformation initiatives
Module 15: Action Planning and Board Reporting
• Developing AI and workforce implementation plans
• Board reporting frameworks and accountability
• Tracking outcomes and continuous improvement
• Developing a practical AI governance and future workforce action plan
Final Practical Session
• Group presentations of AI governance and workforce strategies
• Peer review and discussion
• Course evaluation and closing session
End of the workshop
IN HOUSE AND ONLINE TRAINING
While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.
For Registration and other Training arrangements,
contact us on the detail below.
SOUTH AFRICA : +27 11 057 6001
TANZANIA Cell: +255 769 688 544
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com
