Course Detail()

This workshop explores how AI tools can be aligned with the requirements of IFRS S1 and S2 Sustainability Disclosure Standards, through interactive sessions and real-world case studies. Participants will examine the ethical considerations surrounding AI adoption and the role of accountants as stewards of responsible, data-driven sustainability reporting. Through hands-on activities, such as designing scenario analysis using Predictive AI, drafting narrative disclosures with Generative AI, and applying IoT and Blockchain to generate verifiable sustainability data.

On the completion of this course, you will able to:

Develop a working knowledge of IFRS S1 and S2 requirements for ESG reporting;
understand how Predictive AI, Generative AI, IoT, and Blockchain can be applied across the four IFRS pillars;
evaluate ethical considerations and controls necessary to ensure transparent and trustworthy ESG disclosures;
design AI-driven scenario analyses and drafting sustainability narratives; and
design AI-Integrated ESG strategy and reporting.

Programme Outline

The New Frontier for Accountants: Trust, ESG, and the IFRS Sustainability Disclosure Standards

The evolving role of accountants as digital and sustainability leaders
Overview of the 4 pillars of IFRS S1 and S2: Governance, Strategy, Risk Management, Metrics & Targets
Case Study

Governance – Building the Foundation of Trust

IFRS S1 requirements for governance and oversight.
Data Governance and Cybersecurity as the backbone of ESG data integrity.
Create immutable audit trails for carbon credits and supply chains by applying blockchain technology
Apply Generative AI for drafting governance policies and committee mandates
Case Study

Strategy & Risk Management – Navigating the Future

IFRS S2 requirements for climate scenario analysis and resilience planning
Predictive AI to model financial impacts of climate-related risks and opportunities
IoT as an early warning system for operational and environmental risks
Practical exercise: Designing a Predictive AI-driven scenario analysis

Metrics & Targets – Measuring What Matters

IFRS S2 cross-industry and industry-specific metrics
Automating real-time sustainability data collection with IoT sensors
Blockchain to verify Scope 3 emissions and carbon credits.
Generative AI for auto-generating narrative sections in ESG reports.
Hands-on activity: Drafting metrics disclosures using sample data.

Bringing It All Together – Case Study Simulation

Walkthrough: How a company aligns technology with the requirements of IFRS S1 & S2
Demonstration: How connected information links sustainability disclosures to financial statements.

The Way Forward

Develop a roadmap to implement AI-powered ESG in your organisation

Training Methodology*

Lecture style with exercise, case studies, and demonstration.

Closing Date for Registration*

1 week before programme or until full enrolment.

Intended For

This course is designed for professional accountants, finance managers, sustainability officers, and reporting specialists seeking to deepen their understanding of how Artificial Intelligence (AI) can enhance ESG reporting in alignment with IFRS S1 and S2. It is also suitable for auditors, consultants, and business leaders involved in sustainability strategy, risk management, and corporate reporting who want to leverage AI technologies, such as Predictive AI, Generative AI, IoT, and Blockchain, in sustainability disclosures.

Schedule & Fees

Testimonial

Funding

1] NTUC Union Training Assistance Programme (UTAP)
UTAP (Union Training Assistance Programme) is an individual skills upgrading account for NTUC members.

NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 01 April 2024 and 31 March 2027. *This excludes miscellaneous fees such as GST and registration fee etc.

This course is approved for UTAP support for intakes conducted between 28 September 2025 – 31 March 2027.

As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.

Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
Course by training provider must be supported under UTAP and training must commence within the supported period and;
Unfunded course fee must not be fully sponsored by company or other types of funding
Unfunded course fee must be S$20.00 and above, and;
Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
UTAP application must be made within 6 months after course ends.

To submit for UTAP claims, please visit http://skillsupgrade.ntuc.org.sg/. Terms and conditions apply.
Should you have queries on the funding scheme, you can email to UTAP@e2i.com.sg or call NTUC Membership Hotline at 6213-8008

Programme Facilitator(s)

Develop a working knowledge of IFRS S1 and S2 requirements for ESG reporting;
understand how Predictive AI, Generative AI, IoT, and Blockchain can be applied across the four IFRS pillars;
evaluate ethical considerations and controls necessary to ensure transparent and trustworthy ESG disclosures;
design AI-driven scenario analyses and drafting sustainability narratives; and
design AI-Integrated ESG strategy and reporting.