ASIA’S NO. 1 SHARED SERVICES & GBS EVENT
October 20 - 23, 2026
| Singapore
20 October | SSON Bootcamp: Agentic AI for GBS Transformation
10:00 am - 10:30 am
Morning Refreshments & Registration
10:30 am - 10:35 am
Welcome and Housekeeping Address from SSON Network
10:35 am - 10:40 am
Opening Remarks from the Chair
10:40 am - 11:20 am
Understanding the Fundamentals of Agentic AI and Its Implications for Enterprise Operations
• Exploring how agentic AI differs from traditional automation and generative AI tools
• Understanding how AI agents can orchestrate complex workflows across enterprise systems
• Examining where agentic AI is already being deployed across enterprise operations
• Identifying practical opportunities for applying agentic AI within shared services environments
11:20 am - 12:00 pm
Designing Governance and Risk Frameworks for AI Deployment
• Establishing governance structures to manage AI adoption responsibly across the enterprise
• Balancing innovation with regulatory, compliance and data protection considerations
• Ensuring transparency, accountability and oversight in AI-driven processes
• Developing frameworks that enable experimentation while managing operational risk
12:00 pm - 1:00 pm
Lunch & Networking Break
1:00 pm - 1:40 pm
Designing the Roadmap for AI Adoption Across Enterprise Service Operations
• Developing phased roadmaps for scaling AI across shared services organisations
• Aligning technology adoption with workforce capability and organisational readiness
• Identifying organisational barriers to scaling AI initiatives
• Measuring the operational and strategic impact of AI deployments
1:40 pm - 2:20 pm
Identifying High-Impact Use Cases for AI Across Shared Services Operations
• Mapping enterprise processes across finance, HR, IT and procurement to identify automation opportunities
• Assessing where AI can realistically augment human decision-making and process execution
• Prioritising use cases that balance operational impact with implementation feasibility
• Avoiding common pitfalls when selecting early AI deployment opportunities
