20 October | SSON Bootcamp: Agentic AI for GBS Transformation

According to SSON Research & Analytics, over 60% of GBS leaders see AI-driven autonomy as the next frontier of performance, yet only one-third have begun implementation. This masterclass explores how Agentic AI is transforming automation into autonomous action and decision-making across finance, HR, and operations.According to SSON Research & Analytics, over 60% of GBS leaders see AI-driven autonomy as the next frontier of performance, yet only one-third have begun implementation. This masterclass explores how Agentic AI is transforming automation into autonomous action and decision-making across finance, HR, and operations.

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 - 12:00 pm Executive Roundtable: AI as the GBS Value Engine: Insights and Peer Lessons Across the GBS Community

Kris Kabasinskas - Partner, Asia Pacific Operate Center of Excellence Lead, Deloitte

• Examining what GBS leaders are doing about AI adoption and value realization

• Move beyond AI intent to AI impact through peer discussion

• Deep dive into how leading GBS organizations are operationalizing GenAI to deliver measurable business outcomes

• Surface practical playbooks, governance models, and talent strategies that enable scale


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Kris Kabasinskas

Partner, Asia Pacific Operate Center of Excellence Lead
Deloitte

10:40 am - 11:20 am Case Study: Rethinking GBS for Agentic AI: From Process Automation to Data-Driven Transformation

Kanishka Sinha - Global Head Hyper Automation & Ai Services Professional, Ingram Micro

• Exploring how organisations must fundamentally redesign GBS models, operating approaches and adoption strategies to successfully implement Agentic AI at scale

• Shifting from process-centric automation to a data-centric model, requiring GBS to rethink ownership across data, technology and business functions

• Reimagining end-to-end customer journeys with an automation-first mindset, focusing on exception handling, validation and complex decision-making tasks

• Redefining the role of Proof of Concept as a critical validation step for live data integration, security guardrails and production readiness

• Evolving the user adoption model by positioning Agentic AI as a collaborative resource, enabling gradual autonomy from recommendation to decision-making


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Kanishka Sinha

Global Head Hyper Automation & Ai Services Professional
Ingram Micro

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

2:20 pm - 2:30 pm End of Pre-Conference Day