AI-Powered Finance: Automating Insights & Risk Management
Transform complex financial datasets into instant strategic intelligence, streamline audit compliance, and automate routine financial reporting using enterprise AI workflows.
Drive Efficiency in Corporate Finance with Generative AI
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.
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.
50% Subsidyon Your AI Tools
Enjoy 50% AI tools support for leading AI platforms like ChatGPT, Claude, and Gemini to power your daily work.
- ⓘ Please verify Course Eligibility before applying.
- ⚠ Exclusive to NTUC members. Subject to UTAP T&Cs and annual funding caps.
Curriculum & Modular Breakdown
- Practical Assessment
- Written Assessment
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
Entry Requirements
Experience:
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.
Learn from Certified Trainers
This programme is delivered entirely in-person by certified industry practitioners. Our trainers bring years of real-world agency and corporate deployment experience, ensuring you move beyond abstract theory into practical, job-ready tool execution.
Fees & Subsidies
For Singapore Citizens aged 17-30 Post Secondary Education Account Funds can be used.
(24hrs) AI-Powered Finance: Automating Insights & Risk Management
3 Days (9.00am - 6.00pm)
S$1,362.50 (inclusive of 9% GST)
From S$158.75 (inclusive of 9% GST) after 90% SWDA Subsidies- SkillsFuture Credits, PSEA & UTAP Claimable
- SkillsFuture Enterprise Credits claimable
Course Schedule
 Course Name |  Duration |  Month | Date |  Venue |  Remarks |
|---|---|---|---|---|---|
| (24 hrs) AI-Powered Finance: Automating Insights & Risk ManagementTGS-2026064498 | 3 days (9:00am-6:00pm) | September 2026 | 02-04 | International Plaza | Weekdays |
| 04-06 | JTC Summit | Weekends | |||
| 16-18 | International Plaza | Weekdays | |||
| 23-25 | JTC Summit | Weekdays | |||
| 27 Sep, 03,04 Oct | International Plaza | Weekends | |||
| 30 Sep, 01,02 Oct | International Plaza | Weekdays | |||
| October 2026 | 07-09 | JTC Summit | Weekdays | ||
| 19-21 | International Plaza | Weekdays | |||
| 25, 31 Oct, 01 Nov | International Plaza | Weekends | |||
| November 2026 | 02-04 | International Plaza | Weekdays | ||
| 14,15,21 | JTC Summit | Weekends | |||
| 18-20 | International Plaza | Weekdays | |||
| 25-27 | JTC Summit | Weekdays | |||
| 29 Nov, 05,06 Dec | International Plaza | Weekends |
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