Purpose of Programme
Generative AI is advancing at an unprecedented pace, rapidly evolving beyond simple automation to become increasingly capable of performing highly complex tasks — from generating fully functional applications and creating convincing deepfakes, to developing sophisticated written, visual, and multimedia content. These capabilities are no longer distant possibilities; they are reshaping industries today. The Generative AI Workshop for Senior Leaders is specifically designed to ensure that decision-makers are well-informed about the profound and far-reaching impact that Generative AI is set to have on their organisations, their people, and the competitive landscapes they operate within.
What You'll Learn
This workshop equips senior leaders in finance with the strategic understanding needed to lead confidently in an AI-driven environment. Participants explore how AI is reshaping banking operations, decision-making, talent, governance and competitive dynamics, and why AI is now a board-level issue rather than a purely technical one.
The course builds a practical understanding of AI, Machine Learning, Large Language Models, Generative AI and agentic systems, and translates these into real implications for financial institutions. Leaders examine what is now possible through live demonstrations, including source-grounded research tools, synthetic media and automated intelligence briefings.
The workshop also explores applications across origination, underwriting, collections, support functions, wealth management, investment management, and financial crime and fraud detection. A major focus is responsible leadership, including AI risks, FEAT principles, explainability, accountability, hallucinations, source verification, intellectual property, confidentiality and human oversight.
Participants apply frameworks such as the CDE Innovation Prism, Performance Hexagon, AI readiness mapping and use-case prioritisation. They also complete a one-hour post-workshop assessment involving a scored AI use-case portfolio, a business and governance case for one priority use case, and a financial-crime scenario.
By the end, participants leave with a clearer readiness baseline, stronger board-level questions, prioritised AI opportunities and a practical 90-day action plan.
The course builds a practical understanding of AI, Machine Learning, Large Language Models, Generative AI and agentic systems, and translates these into real implications for financial institutions. Leaders examine what is now possible through live demonstrations, including source-grounded research tools, synthetic media and automated intelligence briefings.
The workshop also explores applications across origination, underwriting, collections, support functions, wealth management, investment management, and financial crime and fraud detection. A major focus is responsible leadership, including AI risks, FEAT principles, explainability, accountability, hallucinations, source verification, intellectual property, confidentiality and human oversight.
Participants apply frameworks such as the CDE Innovation Prism, Performance Hexagon, AI readiness mapping and use-case prioritisation. They also complete a one-hour post-workshop assessment involving a scored AI use-case portfolio, a business and governance case for one priority use case, and a financial-crime scenario.
By the end, participants leave with a clearer readiness baseline, stronger board-level questions, prioritised AI opportunities and a practical 90-day action plan.
COURSE FEE
$2,000.00
(Before Subsidy)
SCHEME
STS
Skills & Competencies Requirements
| SKILLS CATEGORY | SKILLS AND COMPETENCIES | PROFICIENCY LEVEL |
|---|---|---|
| Future-Enabled Skills | Generative Artificial Intelligence |
ADVISORY
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