(24hrs) AI-Powered Finance: Automating Insights & Risk Management

3-Day AI for Finance Professionals Course: Use AI to boost efficiency, reduce risks, and deliver faster, more accurate financial insights.

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Up to 70% SkillsFuture Singapore Funding Diagram - SkillsFuture Credit, PSEA & UTAP Claimable

Course Synopsis

This course equips business owners, finance professionals, and individuals seeking to upskill with the practical capability to deploy Generative and Agentic AI as “cognitive thinking partners” across key financial functions. Participants will develop a structured understanding of generative and discriminative models, mastering the transition from traditional “Transactional Finance” to a “Responsible Augmented” framework.

Through high-stakes scenarios and the Finance AI Lab, participants will explore how AI agents can be orchestrated to automate complex workflows including real-time PayNow/PINT (Peppol) reconciliations, IRAS GST validation, and Zero-Day Close operations. The course emphasizes advanced prompt engineering to automate BEPS 2.0 tax documentation, ISSB-aligned ESG reporting, and SGX-compliant board disclosures.

Participants will secure financial integrity by deploying AI to detect deepfake fraud, analyze circular ownership via ACRA synthesis, and predict risks using regional “soft data”. The curriculum is deeply anchored in the 2026 MAS AI Risk Management Handbook, teaching “Human-in-the-Loop” (HITL) oversight to mitigate model bias and ensure compliance with the 17 core regulatory considerations. Ethical and societal implications, such as the “black box” nature of expense management and the strategic upskilling of the workforce, are analyzed to ensure transparency and fairness.

By the end of the course, you will be equipped to build a concrete Finance Augmentation Backlog, moving beyond simple automation to drive measurable ROI and strategic innovation in finance operations.

Prerequisites

Experience with finance and accounting: Minimal one year of work experience with knowledge of finance and accounting.

Language

Attained at least WPLN level 6; or
Obtained Grade C6 for GCE O-Level English; or
Other equivalent qualifications.

Academic

Obtained at least a pass or C6 at GCE O-Level in at least 3 subjects; or
Candidates with other qualifications will be considered on a case-by-case basis; or
Mature candidates aged ≥ 30 years old with 8 years of relevant working experience.

Learning Units

Foundations of AI Models in Finance: Generative vs Discriminative

Turning Financial Data into Insights with AI: Leading with Human-Centric AI & the Augmented Finance Professional
Smarter Risk & Credit Assessment with AI: Predicting Financial Trouble with 360° Risk Intelligence & Alternative Data

How Generative AI Models Work: Automating Finance Tasks and Workflows

Automating Reconciliation & Transactions with AI: Zero-Day Close & Smart Invoicing for PayNow/PINT Digital Payments
Creating & Reviewing Financial Documents with AI: Automating BEPS 2.0 Tax, ISSB-ESG Reporting, & Self-Service Board-Ready Insights

Shaping AI Outputs: Mastering Prompt Engineering for Financial Insights

Smarter Forecasting & Budgeting with AI: Conversational Scenario Planning & Turning Variances into Actionable Strategic Insights
Prompt constraints and structured instructions for financial data interpretation
Chain-of-Thought prompting for budget forecast reasoning checks
Prompt performance evaluation for fit-for-purpose reporting output
Smarter Investment & Portfolio Planning with AI: Cash Mastery, Yield Optimization, & Profit Recovery Spend Analytics

Safeguarding Finance AI Systems: Data Quality, Bias, and Compliance

Using AI to Detect Fraud & Stay Compliant: The Digital Shield against Deepfakes & the 2026 MAS AI Risk Management Handbook
Using AI in Finance Responsibly – Ethics, Compliance & Data Protection: Regulatory Radar for IFRS/Sustainability Standards & Green Auditing for Ethics Oversight

Strategic Innovation with AI: Brainstorming Practical Finance Applications

Ethical and Societal Governance in AI-Driven Procurement and Expense Optimization: The Finance AI Lab for Strategic Innovation & Building Your Transformation Roadmap
Ethical implications of AI “black box” decisions in expense management
Societal impact and workforce shifts in AI-driven procurement automation
Ethical oversight for transparency and fairness in AI-enabled financial process optimisation

Course Objectives

By the end of this course, you should be able to:

Analyse generative and discriminative AI models to select appropriate approaches for common accounting use cases.
Utilise generative AI models to produce outputs from training data and algorithms for automating accounting workflows such as summarisation, transformation, reasoning, and content augmentation.
Evaluate how prompt engineering influences generative AI outputs by testing prompt variations and analysing resulting performance and fitness-for-purpose for financial insights.
Assess how data quality and model-pipeline factors can introduce limitations or bias in AI outputs by analysing risks to compliance and the integrity of financial decision-making.
Propose practical generative AI applications for finance by applying core principles of generative AI, while identifying ethical and societal implications and incorporating these considerations into the proposed solution.

Total Training Hours: 24 hours, including a 2-hour assessment

Practical Assessment
Written Assessment

Fees and Subsidies

*Eligible for Singaporean Citizens, Permanent Residents, and Long-Term Visit Pass Plus Holders

Course Fee:
S$1,250.00 (before subsidy and GST)

Course Fee After Eligible Subsidies:
From S$158.75 (inclusive of 9% GST) after 90% SkillsFuture Funding

Learners

Singaporean Citizens ≥ 40 years old

S$158.75 (after SWDA 90% Funding)

SkillsFuture Credits can be used on top of existing subsidies

Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old

S$408.75 (after SWDA 70% Funding)

For Singapore Citizens learners aged ≥ 25 years old SkillsFuture Credits can be used on top of existing subsidies.

For Singapore Citizens aged 17-30 Post Secondary Education Account Funds can be used.

Learners	SMEs	Non-SMEs
Singaporean Citizens ≥ 40 years old	S$158.75 (after SWDA 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies	S$158.75 (after SWDA 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies
Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old		S$408.75 (after SWDA 70% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies