WSQ AI-Powered Finance: Automating Insights & Risk Management
Course Description
This WSQ 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 – such as OpenClaw – can be orchestrated to automate complex workflows including real-time PayNow/PINT (Peppol) reconciliations, IRAS GST validation, and Zero-Day Close operations. The course emphasises 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, analyse 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 analysed 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
- 1 GCE ‘O’ level or equivalent (≥ 21 years old); or
- NITEC/Higher NITEC (≥ 21 years old); or
- Mature candidates (≥ 30 years old with 8 years of work experience); or
- Candidates with other qualifications will be considered on a case-by-case basis
- Experience with finance: Nil to Minimal one year of work experience with knowledge of finance.
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.
Course Outline
Learning Unit 1: 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
Learning Unit 2: 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
Learning Unit 3: 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 Optimisation, & Profit Recovery Spend Analytics
Learning Unit 4: 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
Learning Unit 5: Strategic Innovation with AI: Brainstorming Practical Finance Applications
- Ethical and Societal Governance in AI-Driven Procurement and Expense Optimisation: 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
Fees and Subsidies
*Eligible for Singaporean Citizens, Permanent Residents, and Long-Term Visit Pass Plus Holders
Course Fee:
S$1600 (exclusive of 9% GST)
Course Fee After Eligible SSG Subsidies:
From S$624 (inclusive of 9% GST) after 70% SSG Subsidies
| Learners | |
| Singaporean Citizens ≥ 40 years old | S$624 (after SSG 70% Funding) SkillsFuture Credits can be used on top of existing subsidies |
| Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old | S$944 (after SSG 50% 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$624 (after SSG 70% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies |
S$624 (after SSG 70% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies |
| Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old | S$944 (after SSG 50% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies |
All prices are inclusive of 9% GST.
Important Reminder: Your PSEA claim needs to be submitted at least 1 month before the course’s commencement date. Should you miss this deadline, an alternative payment method must be used to secure your spot in the course. After the disbursement of your PSEA funds to us, we will reach out to initiate the refund process.
AI-Driven Business Intelligence: Smarter Reporting & Analytics
Course Duration:
3 Days (9.00am – 6.00pm)
Course Fee Details:
$624 (incl. of 9% GST) after 70% SkillsFuture Subsidy
SkillsFuture Credits & PSEA claimable
SkillsFuture Enterprise Credits claimable
Nett Course Fee
$624
Course Schedule
| Course Name | Duration | Month | Date | Venue | Remarks |
|---|---|---|---|---|---|
| WSQ AI-Powered Finance: Automating Insights & Risk Management TGS-2026063166 | 3 Days (9:00am - 6:00pm) | May 2026 | 18–20 | International Plaza | Weekdays |
| 23, 24, 30 | JTC Summit | Weekends | |||
| June 2026 | 3-5 | JTC Summit | Weekdays | ||
| 06,07,13 | International Plaza | Weekends | |||
| 10–12 | International Plaza | Weekdays |
Have some questions? Contact us.