Agentic AI is at the center of a shift in how shared services and GBS organizations operate. But what is the reality of how current organizations are deploying the technology? This session will share data from SSON Research and Analytics on what Agentic AI currently means to the industry. This insight-packed session will:
The Agentic AI era is upon us, with the power to redefine the future of enterprise operations. This session explores how Agentic AI is revolutionizing shared services by driving operational efficiency, accelerating outcomes, and enabling intelligent cross-functional coordination. Attendees will gain insights into the real-world applications, implementation challenges, and governance models required to deploy these systems responsibly and effectively.
Join us to discover how to harness the power of Agentic AI to create self-directed, resilient operations that scale.
Key Takeaways:
As enterprises explore the transformative potential of AI, agentic AI is emerging as a powerful enabler for reimagining end-to-end business processes. In this session, we showcase how Ecolab is applying agentic AI solutions across core operations—such as cash application, customer master data management, and order-to-invoice workflows—to drive intelligent, autonomous execution at scale. These demonstrations will illustrate not just technology deployment, but how AI can fundamentally reshape process architecture. Beyond implementation, we will explore the broader operating model implications: how organizations must evolve in structure, roles, and governance to support AI-enabled process ownership and decision-making. The session aims to inspire a shift in mindset—from isolated automation to holistic, AI-led process reinvention.
Key Takeaways:
• How agentic AI can drive end-to-end process transformation across domains like cash application, customer data management, and order-to-invoice that move beyond task automation to full process execution.
• What it takes to operationalize agentic AI at scale, including technical design, deployment strategies, and lessons learned from real use cases at Ecolab.
• How to evolve your operating model to support AI-enabled processes, including shifts in organizational structure, roles, governance, and decision-making authority.
Shared services have long been seen as necessary cost centers—but Agentic AI is changing that. By enabling systems to act autonomously in pursuit of defined objectives, agentic AI unlocks new levels of efficiency, agility, and strategic impact, with the potential outcome of redefining who is necessary for SSOs.
This session focuses on how organizations can leverage autonomous AI agents to move beyond transactional processing and deliver measurable business value. We’ll explore how agentic AI can optimize operations, accelerate service delivery, and surface innovation opportunities across finance, HR, IT, and procurement. Attendees will learn how to identify high-value use cases, calculate ROI, and ensure scalability, accountability, and responsible adoption.
Whether you're looking to reduce operational overhead, improve service levels, or create new strategic capabilities, this session will equip you with the vision and tools to turn shared services into a value-generating powerhouse.
Key Takeaways:
This session will explore how Operational Excellence (OE) Agents deliver tangible value by integrating digital tools, enhancing problem solving capabilities, and driving process standardization across the organization. At Kerry, over 250 employees have adopted digital solutions that accelerate transformation and investment into 70 White, Yellow and Green Belts. Additionally, the development of more than 70 White, Yellow, and Green Belts, has significantly improved problem resolution speed and effectiveness within their business. And that is just the start. In this session, you will:
Key Takeaways:
As Agentic AI moves from concept to capability, Shared Services leaders face a critical question: should we invest in an off-the-shelf platform or build a custom, in-house solution?
This session details the strategic, technical, and operational trade-offs of each path. Participants will explore how to evaluate organizational readiness, assess internal capabilities, and compare long-term value between buying and building agentic AI. We’ll also cover key factors like integration complexity, data governance, scalability, and total cost of ownership.
Through guided discussion and practical frameworks, attendees will walk away with clearer criteria for decision-making—plus concrete next steps for piloting or procuring agentic AI solutions tailored to their organization’s needs.
Key Takeaways:
As shared services embrace autonomous AI agents to streamline operations, the success of these systems hinges on one key factor: data. Examine why high-quality, well-governed, and interoperable data is essential for agentic AI to function effectively across business functions. Discover how data enables decision-making, compliance, and adaptability in AI agents—and what organizations must do to prepare their data ecosystems. Real-world examples and practical guidance will help you turn data into a strategic asset for AI-driven transformation.
Key Takeaways:
We’ve moved past basic automation — now we’re piloting agentic AI that can reason, decide, and collaborate across shared services like finance, HR, and procurement. From the seat of a practitioner, they’ll share what it really takes to make this shift: where AI agents are helping, where they’re falling short, and how we’re rethinking roles, governance, and tech stacks to support them. Expect real use cases, lessons learned, and a grounded take on scaling agentic AI in complex enterprise environments.
Agentic AI offers transformative potential—but without a strong business case, even the most promising initiatives stall at the executive table.
This session is designed to help leaders translate technical promises into strategic value. We’ll explore how to frame Agentic AI investments in financial terms, using ROI modeling, cost avoidance, scalability assessments, and risk-benefit analysis. Participants will learn how to connect AI initiatives to enterprise goals such as service excellence, productivity gains, and long-term value creation.
Whether you’re preparing a board presentation or shaping internal consensus, this discussion will equip you with the language, metrics, and framing needed to advocate for agentic AI with confidence and clarity.
Key Takeaways:
Concerns about AI replacing jobs are real—but the future of work is one of collaboration, not competition. As agentic AI takes on routine tasks, employees will increasingly work alongside autonomous agents, leveraging AI to enhance decision-making, reduce repetitive work, and concentrate on strategic, human-centered activities.
This session explores how organizations can prepare their workforce for this new dynamic. Learn how to develop the skills, mindsets, and tools employees need to partner effectively with AI—turning disruption into opportunity and driving innovation and efficiency in shared services.
Key Takeaways:
Agentic AI offers transformative potential—but without a strong business case, even the most promising initiatives stall at the executive table.
This session is designed to help leaders translate technical promises into strategic value. We’ll explore how to frame Agentic AI investments in financial terms, using ROI modeling, cost avoidance, scalability assessments, and risk-benefit analysis. Participants will learn how to connect AI initiatives to enterprise goals such as service excellence, productivity gains, and long-term value creation.
Whether you’re preparing a board presentation or shaping internal consensus, this discussion will equip you with the language, metrics, and framing needed to advocate for agentic AI with confidence and clarity.
Key Takeaways:
Concerns about AI replacing jobs are real—but the future of work is one of collaboration, not competition. As agentic AI takes on routine tasks, employees will increasingly work alongside autonomous agents, leveraging AI to enhance decision-making, reduce repetitive work, and concentrate on strategic, human-centered activities.
This session explores how organizations can prepare their workforce for this new dynamic. Learn how to develop the skills, mindsets, and tools employees need to partner effectively with AI—turning disruption into opportunity and driving innovation and efficiency in shared services.
Key Takeaways:
Agentic AI in Recruitment
Discover how agentic AI is transforming recruitment by automating and orchestrating the entire hiring lifecycle with minimal human intervention. This session explores real-world use cases where AI agents source talent, coordinate interviews, and streamline decision-making to accelerate hiring and enhance candidate experience.
Agentic AI in Processing
Explore how agentic AI is revolutionizing invoice processing by autonomously managing data extraction, validation, exception handling, and approvals across systems. This session highlights real-world applications where AI agents reduce cycle times, improve accuracy, and eliminate manual intervention in accounts payable workflows.
Agentic AI for Helpdesk Assistants
Learn how agentic AI is redefining help desk operations by autonomously handling IT and service requests across channels like chat, email, and ticketing systems. This session showcases AI agents that resolve issues, escalate intelligently, and deliver 24/7 support to boost efficiency and user satisfaction.
As agentic AI assumes more autonomous roles in shared services, the greatest challenge isn't the technology—it's the people.
This session focuses on how to lead through change as workflows evolve, and human-AI collaboration becomes the norm. We’ll explore strategies to reduce resistance, build trust in AI systems, and support teams as roles shift from task execution to oversight, orchestration, and strategic contribution.
Attendees will gain practical approaches to upskilling, communication, and engagement—helping leaders turn potential disruption into an opportunity for growth, empowerment, and culture change.
Key Takeaways:
As AI systems evolve from tools to agents capable of making decisions and taking autonomous actions, the stakes for data governance and ethical oversight grow exponentially. This session explores the critical question: Who is accountable for ensuring agentic AI systems operate safely, compliantly, and in alignment with organizational values?
This session will examine the roles and responsibilities across the enterprise—from executive leadership and governance boards to data scientists, compliance officers, and AI product owners. Participants will gain insight into defining accountability, key roles and responsibilities, mechanisms for self-regulation, and how to respond to possible failures.
Key Takeaways: