AI Fluency Programme, AIxAccountancyfor the Future Workforce

Introduces the AI Fluency Series, explains the three-pillar structure, and sets expectations for a hands-on, workflow-based learning experience.

Explains what AI and Large Language Models are, how they work, and why the gap between confident-sounding output and correct output is the single most important concept for accounting professionals to understand.

Covers firm data policy, a responsible AI use decision framework, step-by-step setup of all five major AI tools, privacy configuration for each, tools to avoid, and how to spot fake AI websites.

Teaches prompting from the ground up using live demonstrations. Starting with a deliberate SFRS 2 hallucination and covers COSTAR, the Regulator Lens, financial statement analysis, casting, and AI maths verification.

Hands-on module covering AI-generated dashboards, PowerPoint, and Word outputs from Excel, VBA automation demos, Claude and ChatGPT add-ins inside Office apps and PDF data extraction across multiple tools.

Covers the real-world dangers of AI through documented case studies and live demonstrations. Examples of prompt injection attacks, AI over-trust failures, deepfake fraud and professional obligations under EP 100 and MAS guidelines.

Four practical workflows applicable immediately. Examples are meeting notes automation, building interactive HTML dashboards, deep research and KYC, and scheduled client monitoring via Google AI Studio.

Comprehensive module on building AI agents in Copilot (4 production agents from scratch). Discuss ChatGPT Agent Mode with live demos, Custom GPTs, and an in-depth guide to NotebookLM as the accounting profession's knowledge platform.

Full hands-on VBA module. Covers Developer tab setup, the VBA Editor, and 11 practical exercises — from combining sheets and automating emails to mail merge and PowerPoint slide generation — all using AI-generated code.

Covers AI-assisted formula generation, debugging, data cleaning with VBA, and building an interactive HTML cleanup tool. Ends with a practical API integration with PayNow bank data extraction and fuzzy matching using Jaro-Winkler algorithm in Excel VBA.

Wrap-up covering all competencies achieved, a practical tool selection guide, how to stay current, a preview of next segment.

Practical AI workflows covering the full internal audit lifecycle. From scheduling, annual planning, fraud detection, control mapping, policy review, risk assessment, anomaly detection to compliance tracking. We use a sample data for a 40-entity multi-country organisation to simulate real world scenario.

Practical AI workflows covering the full internal audit lifecycle. From scheduling, annual planning, fraud detection, control mapping, policy review, risk assessment, anomaly detection to compliance tracking. We use a sample data for a 40-entity multi-country organisation to simulate real world scenario.

Designed for directors, audit committee members, and company secretaries. Covers data sensitivity rules for board materials, cloning your professional persona into AI, and 11 governance-specific workflows from management account review to AGM preparation and sector benchmarking.

Built for accounting and corporate secretarial firms. Covers 9 compliance AI chatbots, a live client services dashboard, 3 automated email reminder methods, document generation workflows, and batch ACRA portal operations using Claude in Chrome.

Six-part tax module covering AI-assisted research, deferred tax verification, GST classification, capital allowance classification, building a full tax computation HTML app, and Copilot Agents for IRAS and GST queries.

FP&A-focused module covering five AI-built dashboards, financial statement generation from trial balances and bank statements, casting checks, and VBA automation for GL splitting and bank statement categorisation.

Covers 16 audit procedures using Claude — from internal controls identification to inventory observation with video AI — plus a five-step validation framework, email reminders, and AR/AP confirmation letter generation, all demonstrated on Coffee Is Life Company.

An under-the-hood technical module explaining how AI tools actually work. From tokens to agentic AI. All in plain English for accounting professionals, with a full jargon glossary and a real Singapore case study tying it all together.

A leadership guide for finance managers and partners on the three practical governance steps: verifying staff privacy settings, knowing what tools staff are using, and using Copilot for sensitive documents.

A leadership-level module revisiting AI risks from a management accountability perspective and walking through the practical steps to write a firm AI policy.

Examines trust, accountability, and ethics as three linked concepts . Establishing that professional responsibility cannot be delegated to AI, and what ethical AI use looks like in practice for finance leaders.

A change management guide for finance leaders on why AI implementations fail and the concrete steps. AI Champion Programme, single-process pilot and to make AI adoption work and sustain it.

A practical procurement guide challenging leaders to exhaust free solutions first, providing a structured decision tree, tool recommendations, vendor evaluation criteria and Singapore-specific regulatory considerations.

Provides a seven-criterion scoring matrix to identify automation priorities, a process mapping methodology and a framework for measuring and communicating sustained productivity gains from AI.

Covers what it means to lead AI adoption by example, how to build an AI Champion team, and why asking your team for help is sound management. Backed by McKinsey research on the gap between executive and employee AI usage.

The series closing module — examining what AI means for the accounting profession, why professional scepticism is the irreplaceable human skill, what will and won't change, and the new opportunity for accountants who embrace AI responsibly.