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    AI for Finance Leaders - Strategy, Performance, and Control
    National University of Singapore Business School

    AI for Finance Leaders - Strategy, Performance, and Control

    National University of Singapore Business School, Singapore
    HomeData & AINational University of Singapore Business SchoolAI for Finance Leaders - Strategy, Performance, and Control
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    Next Available Cohort

    Choose your preferred start date

    Date TBD
    in-person · Instructor-Led · Singapore Campus
    Open
    $4,200

    All-inclusive program fee

    About This Program

    Designed for finance directors, senior finance leaders, aspiring and incumbent CFOs, this intensive 4 day programme reframes AI as a finance leadership capability - not a technical deep dive. You will learn to identify and prioritise the highest-value AI opportunities across 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 workshops, participants will: assess 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.

    Why National University of Singapore Business School?

    NUS Business School sits at the intersection of Asian markets and global management thinking in a way few schools can match. Its location in Singapore, one of the world's principal financial and trade hubs, gives executive participants direct access to Southeast Asian deal flows, regulatory environments, and corporate networks that are genuinely difficult to replicate anywhere else. The school's Asia-focused research depth, combined with strong ties to multinational corporations headquartered in the region, makes it a practical choice for leaders who need to operate across Asia-Pacific.

    Your Profile

    • Aspiring CFOs, current CFOs, finance directors, and senior finance leaders responsible for forecasting, performance management, risk, and transformation.

    Benefits

    • Identify the highest-value AI use cases across FP&A, reporting, treasury, controllership, and enterprise risk.
    • Distinguish between predictive AI, Generative AI, and Agentic AI, and know where each creates value in finance.
    • Evaluate AI investments using a CFO lens: ROI, 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.

    What You'll Learn

    • Identifying and prioritising high-value AI opportunities across FP&A, reporting, treasury, controllership, and enterprise risk.
    • Distinguishing where predictive, generative, and agentic AI deliver real business advantage in finance contexts.
    • Assessing AI ROI and data readiness through a finance leader's lens, including operating model impact and risk.
    • Designing AI governance frameworks covering ethics, privacy, auditability, model risk, and human oversight.
    • Applying prompt and workflow design to improve financial reporting, commentary, and decision quality.
    • Prototyping agentic workflows for reconciliation, exception handling, and forecasting loops.
    • Building board-grade arguments for AI investment and a bespoke adoption roadmap for the finance function.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

      Compare programs

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    3. 3

      Contact the school

      Send a message directly to National University of Singapore Business School via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through National University of Singapore Business School's official application portal.

      Apply now →

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