Responsible AI Governance for Business Impact
Governing AI · Driving Impact · Building Trust
Organised by Koryu Keystone Academy for SPMA1965
A 2-day executive programme for business leaders to turn AI opportunities into trusted, governed and measurable business value.
Course Details
Your Facilitator
Mr Timothy Tay Huey En
AI Governance Consultant, Auditor & Trainer (United Nations ESCAP)
Timothy is a seasoned expert with over 40 years of experience in AI governance, ethics, and risk management. He has trained and consulted at international organisations and certification bodies, and specialises in standards, governance frameworks, and sustainable digital transformation.
Credentials
- UN ESCAP AI Governance Consultant
- Certified ISO/IEC 42001 Internal Auditor & Trainer
- GRC & Cybersecurity — CISSP · CISM · CISA
Programme Overview
AI Transformation with Governance That Delivers Business Impact
Apply the RISE AI Transformation Methodology to a real AI use case and develop an executive evidence pack to support investment, governance and scaling decisions.
The RISE AI Transformation Methodology
A practical 7-step methodology to guide AI initiatives from opportunity to scale:
- 1. Discover: Identify where AI can create measurable business value.
- 2. Design & Prioritise: Translate opportunities into strategy and practical use-case blueprints.
- 3. Assess: Evaluate risks, impacts and organisational readiness.
- 4. Govern: Establish a proportionate AI governance framework.
- 5. Decide: Make evidence-based investment decisions to proceed, redesign or defer.
- 6. Operate: Implement policies, monitoring and incident-response arrangements.
- 7. Scale: Scale, improve or retire AI initiatives using a portfolio approach.
Governing AI. Driving Impact. Building Trust.
Equip yourself with the mindset, tools and governance discipline to lead AI initiatives responsibly and achieve lasting business impact.
What You Will Take Away
- Strategic Clarity: Identify high-value AI opportunities aligned with business goals and outcomes.
- Governance Confidence: Build a practical, proportionate governance framework that supports innovation and control.
- Risk & Ethics Assurance: Assess risks, ensure responsible AI and meet regulatory and stakeholder expectations.
- Smarter Decisions: Use evidence and structured evaluation to make better investment and go/no-go decisions.
- Operational Readiness: Put in place the right policies, monitoring and incident-response to run AI responsibly.
- Scalable Impact: Scale successful AI initiatives and continuously improve for long-term value.
Take home an Executive Evidence Pack: A practical evidence pack to support investment, governance and scaling decisions.