AI for Finance Leaders – Strategy, Performance, and Control
About This Course
Designed for finance directors, senior finance leaders, Chief Financial Officers (CFOs), this intensive four-day programme reframes artificial intelligence (AI) as a finance leadership capability — not a technical deep dive. You will learn to identify and prioritise the highest‑value AI opportunities across financial planning and analysis (FP&A), reporting, treasury, controllership and enterprise risk; distinguish where predictive, generative and agentic AI deliver real business advantage; and translate AI potential into measurable investment decisions, resilient controls and an executable adoption roadmap.
Through a blend of executive briefings, real‑world finance use cases, and practical sessions, participants will: assess return on investments (ROI) and data readiness through a finance leader's lens; design governance that covers ethics, privacy, auditability and model risk; apply prompt and workflow design to improve reporting, commentary and decision‑quality; and prototype agentic workflows for reconciliation, exception handling and forecasting loops. The programme balances strategic frameworks with applied practice so you leave with board‑grade arguments, a governance checklist and a bespoke roadmap for adoption in your finance function.
Whether you lead a corporate finance team, shared services centre or financial institution, this programme equips you to lead AI‑led transformation: prioritise initiatives, manage model and cyber risk, reimagine the operating model and mobilise talent. Join peers and faculty from NUS Executive Education to convert AI opportunity into finance impact — actionable, governable and aligned to value.
What You'll Learn
Distinguish between predictive AI, Generative AI, and Agentic AI, and know where each creates value in finance.
Evaluate AI investments using a Chief Financial Officer's lens: return on investment, controls, data readiness, operating model impact, and risk.
Design a governance framework covering ethics, privacy, auditability, model risk, and human oversight.
Build a practical roadmap for adoption in their own finance function.
Target Audience: Chief financial officers, finance directors, and senior finance leaders responsible for forecasting, performance management, risk, and transformation.
Entry Requirements
General Degree