FinTech Training · Executive Education

AI Economicsfor Finance andBusiness Leaders

AI Investment and ROI for Finance Leaders

Translate AI capabilities into clear economic value, practical execution plans and board-ready investment decisions.

Supported byNCS
Format
In-Person
Duration
1 day
Programme Start Date
25 Feb 2027

Programme overview

AI represents a fundamental shift in corporate business architecture. Yet many organisations remain caught in the “productivity trap” — equipping individuals with faster tools without changing how the business operates.

Read programme overview

For finance and business leaders, the opportunity goes beyond accelerating spreadsheet tasks. It lies in transforming capital allocation, predictive forecasting and enterprise-wide value creation.

This programme helps participants translate technical AI capabilities into clear economic units, practical execution plans and board-ready investment theses. Learn to redesign organisational workflows, capture institutional knowledge and make informed decisions about where AI investment can deliver lasting value.

Who is this programme for?

Designed for corporate decision-makers, including:

  • Chief Financial Officers (CFOs)
  • VPs and Directors of Finance
  • Heads of Financial Planning & Analysis (FP&A)
  • Business and finance leaders responsible for AI investment and transformation
Industry context

88% of organisations report using AI in at least one business function, yet only 7% have fully scaled AI across their organisations.

Source: McKinsey & Company, AI at Work but Not at Scale, December 2025

AI leaders achieve five times the revenue increases and three times the cost reductions of other companies, demonstrating the financial value of AI-led transformation.

Source: Boston Consulting Group, The Widening AI Value Gap: Build for the Future 2025

Learning outcomes

  • Evaluate AI profit potential and business cases.
  • Measure institutional ROI and strategic value.
  • Choose the right Buy vs. Configure vs. Build approach.
View detailed learning outcomes
  1. Evaluate

    Evaluate AI profit potential and develop a robust AI business case supported by economic analysis, financial modelling and market insights

  2. Measure

    Measure institutional ROI and move beyond hours saved and cost cutting to outcome-based measures such as revenue uplift, risk reduction and sustainable competitive advantage

  3. Apply

    Apply a structured “Buy vs. Configure vs. Build” approach balancing speed-to-value, differentiation and regulatory compliance

Programme fees

Course fee

S$1,744Including GST

Course modules

The True Cost of AI & Unit Economics

Understand AI’s true operational costs, evaluate financial returns through P&L modelling, and assess unit economics to determine profitability and scalability.

Institutional ROI & Strategic Scaling

Develop scalable, enterprise-wide AI capabilities by measuring business value, forecasting adoption through S-curve models, and exploring agentic workflows with clear objectives and accountability.

Enterprise Governance, Data Risk & Algorithmic Trust

Strengthen AI governance and accountability by measuring AI impact, identifying operational and regulatory risks, and applying data-drift and explainability techniques to support reliable decision-making.

The AI Investment Thesis & Vendor Landscape

Develop a board-ready AI investment business case by evaluating vendor capabilities, prioritising initiatives based on value and risk, and assessing financial returns through NPV, IRR and payback analysis.

The curriculum is subject to changes to reflect the evolving advancements in AI and the needs of financial services industry.

Programme Instructors

Dr Joey Tan

Dr Joey Tan

Vice President, DAMAC Digital Adjunct Professor, Asian Institute of Digital Finance

LinkedIn profile

Global technology executive with over 27 years of experience in AI, cloud and digital transformation.

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Dr. Joey Tan is a global technology executive with over 27 years of leadership experience driving AI, cloud, and digital transformation initiatives across APAC, EMEA, and LATAM. He has held senior leadership roles including Chief Operating Officer at Microsoft Singapore, Managing Director at Alibaba Group , and Head of Commercial Sales at Amazon Web Services Singapore, where he worked closely with governments and enterprises on large-scale digital transformation and cloud adoption.

At the NUS Asian Institute of Digital Finance , he serves as an Adjunct Associate Professor and Programme Director, designing and delivering executive programmes that help financial leaders bridge the gap between AI strategy and real-world implementation. His teaching focuses on areas such as Generative AI, agentic enterprises, responsible AI adoption, and evaluating the business value of emerging technologies in the financial sector.

Beyond academia, Dr. Tan remains active in the professional community as the Chair of the Sustainable Tech Executive Committee at the Singapore Computer Society , where he contributes to advancing discussions on sustainable and responsible technology development. He also serves as a Board Trustee for the Global Centre for Risk and Innovation .

Dr. Tan holds a Doctorate in Business Administration from Singapore Management University and a Bachelor of Applied Science in Computer Engineering from Nanyang Technological University .

Antoine Ting

Antoine Ting

Senior Director, NCS AI Institute and NCS Dojo

LinkedIn profile

Antoine is a senior executive in AI, digital transformation, learning, and leadership development with extensive experience across Asia, Europe, and global organisations.

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Antoine is a senior executive in AI, digital transformation, learning, and leadership development with extensive experience across Asia, Europe, and global organisations. He currently has a dual role at the NCS AI Institute and with NCS Dojo at NCS Group, where he drives enterprise-wide AI enablement, capability development, and apprenticeship-based learning, supporting thousands of practitioners and leaders in innovation, transformation, and professional growth.

Over the course of his career, Antoine has built and led multidisciplinary teams, managed business growth and P&L responsibilities, developed C-suite relationships, and designed large-scale leadership and executive education initiatives. His leadership experience spans NCS Group, KPMG Singapore, Singapore Management University, INSEAD, and his own advisory practice. He has partnered with Fortune 500 companies, public-sector organisations, and executive education institutions to strengthen leadership, business acumen, collaboration, and organisational performance.

Antoine combines deep technical foundations with strategic business expertise, holding a PhD in Artificial Intelligence from Nanyang Technological University and an MBA from INSEAD. Recognised for bridging technology, people, and business outcomes, he is passionate about developing future-ready leaders, advancing AI adoption, and helping organisations build cultures of continuous learning, innovation, and high performance.

Ying Shao Wei

Ying Shao Wei

Chief Scientist, NCS

LinkedIn profile

As Chief Scientist, Shaowei drives NCS’ thought leadership on emerging technologies—shaping the organisation’s point of view, translating complex trends into clear, actionable insights for leaders, and amplifying NCS’ voice through keynotes, executive briefings, and professional publications.

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As Chief Scientist, Shaowei drives NCS’ thought leadership on emerging technologies—shaping the organisation’s point of view, translating complex trends into clear, actionable insights for leaders, and amplifying NCS’ voice through keynotes, executive briefings, and professional publications.

He also builds strategic partnerships across the Research and Innovation ecosystem, connecting NCS with leading experts and institutions to accelerate innovation and deliver long-term outcomes for businesses and society.

Shaowei champions selected AI innovation programmes, including AI training initiatives, by providing executive sponsorship and directing investment funding. He advises both NCS corporate strategy and business clients on new market spaces and priority technology trends, helping guide where to invest and innovate next.

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