Powered by IBF · Executive Leaders Masterclass
Strategic Adoptionof Gen AI andAgentic AI
A practical masterclass for financial institution leaders on AI investment, responsible governance and the organisational capabilities needed to adopt Generative AI and Agentic AI.
- Format
- In-person masterclass
- Duration
- Half-day · 4 hours
- Programme Start Date
- TBC
Programme overview
Work with the MindForge AI Risk Management and Governance Framework through real-world examples, practical exercises and executive discussion. The masterclass connects strategic adoption decisions to the governance instruments leaders can use in their own financial institutions.
Who is this programme for?
Designed for Senior Management of financial institutions who make strategic decisions in AI adoption and AI risk management.
Learning outcomes
- Assess AI opportunities, investments and risks.
- Strengthen executive governance and oversight.
- Build AI-ready teams and practical action plans.
View detailed learning outcomes
- 01
Read the AI landscape
Understand market dynamics, emerging Gen AI and Agentic AI trends, and the MindForge five-persona lens on what executives personally own.
- 02
Make proportionate investment decisions
Apply use-case risk materiality tiering to business cases, governance costs, infrastructure fitness and the disclosures required of third-party AI providers.
- 03
Build an AI-ready organisation
Define Board and Senior Management responsibilities, set AI risk appetite, choose an AI risk taxonomy, and use inventories and executive dashboards to challenge portfolio risk.
- 04
Design human–AI collaboration
Match human oversight to use-case risk tiers and develop role-based AI fluency, skills, knowledge and culture across the organisation.
- 05
Govern agents before they act
Distinguish design-time governance from runtime authorisation: demand explicit agent mandates, institution-owned controls, action dispositions and tamper-evident audit logs. SAFR is taught as a non-binding industry reference.
- 06
Leave with practical instruments
Take away a tiered view of two use cases, a dashboard-challenge protocol, and the Appendix H checklist with a course-supplied scoring overlay for the next Board or Risk Committee cycle.
Programme fees & funding
Course code: TGS-2026066847
This course is recognised under the Financial Training Scheme (FTS). Self-sponsored participants are not eligible for FTS funding.
Basic Fee · No funding
S$872.00Full fee, including GSTFor participants who are not eligible for funding.
After 30% funding1
S$610.40Fee payable, including GSTFor eligible corporate-sponsored Singapore Citizens and Permanent Residents under the applicable FTS funding tier.
After 70% funding2
S$290.40Fee payable, including GSTFor eligible corporate-sponsored Singapore Citizens aged 40 years and above.
130% capped at S$500 per participant per course
270% capped at S$500 per participant per course
All fees stated above are net fees payable after subsidies and include GST.
This course has been accredited under the IBF Standards: Future-Enabled Skills and is eligible for funding under the Financial Training Scheme (IBF-FTS), subject to all eligibility criteria being met.
Participants are advised to assess the suitability of the course and its relevance to his/her business activities or job roles. The IBF-FTS is available to eligible entities and individuals based on the prevalent funding eligibility, quantum and caps. IBF-FTS provides up to 70% course fee subsidy support for direct training costs subject to a cap of S$500 per candidate per course subject to all eligibility criteria being met.
Find out more on www.ibf.org.sg.
Course modules
Gen AI / Agentic AI — Market Dynamics & Emerging Trends
Explore emerging Gen AI and Agentic AI trends and where they create strategic advantage for financial institutions. Use the MindForge five-persona framework to identify what executives personally own.
Decision-Making Pathways in Integrating Gen AI / Agentic AI
Assess AI investments through business value, infrastructure fitness and proportionate risk controls. Apply use-case materiality tiering and third-party AI disclosures to make informed adoption decisions.
Building the AI-Ready Organisation
Clarify Board and Senior Management responsibilities for AI governance, risk appetite and organisational accountability. Use an AI inventory, executive risk dashboard and self-assessment checklist to support oversight.
Enabling AI Governance with Skills, Knowledge and Culture
Design human–AI collaboration with oversight matched to each use case’s risk level. Build role-based AI fluency and strengthen responsible adoption through leadership, skills and culture.
Instrument-Tied Monday-Morning Actions
Translate the masterclass into practical Board and Senior Management actions with clear owners and evidence of completion. Prioritise bounded agent mandates, institution-owned controls and tamper-evident audit logs.
The curriculum and schedule are subject to confirmation and may be updated. Confirmed course dates will be announced.
Programme Director
Adjunct Professor and Advisor at the NUS Asian Institute of Digital Finance, with over 30 years of experience in financial services and digital innovation.
Read full biography
Prof. Tek Yew Chia is a leading voice in financial services and digital innovation, with over 30 years of experience spanning strategy, technology, and regulation across Asia and the Middle East. He is Adjunct Professor and Advisor at the NUS Asian Institute of Digital Finance, and formerly Vice Chairman of Oliver Wyman Singapore and Head of Financial Services Advisory in KPMG Singapore.
Prof. Chia is concurrently a Senior Advisor in Boston Consulting Group (BCG) and also serves as an advisor to the ASEAN Bankers Association (ABA) and the Global Finance and Technology Network (GFTN – a spin-off from the Monetary Authority of Singapore). A sought-after speaker, he brings sharp insights on the future of finance at the intersection of policy, technology, and business.
Register your interest
Contact our team about the masterclass, corporate sponsorship and upcoming course runs.

