Well-designed shared services don’t just improve efficiency, they establish a durable foundation for operational excellence, superior customer experiences, and sustained value creation. Getting the fundamentals right requires intentional design choices across scope, governance, processes, technology, and the customer experience, before scale and optimization can truly succeed.
This workshop provides a practical, design-led roadmap for establishing or strengthening the core building blocks of a shared services model. Participants will gain hands-on guidance and tools to:
By focusing on the fundamentals, this session equips leaders with the clarity and structure needed to design shared services that are resilient, scalable, and positioned to deliver long-term value.
As shared services mature, the challenge shifts from establishing stability to avoiding stagnation. Organizations that continue to deliver “good enough” risk falling behind in an environment defined by rapid change, rising expectations, and accelerating digital capability. The next phase of shared services maturity is about intentionally expanding value—through innovation, advanced analytics, and more responsive, customer-centered operating models.
This workshop focuses on the strategies and decisions required to evolve shared services beyond optimization and into a true value engine for the enterprise. Participants will explore practical approaches to:
By focusing on advanced capabilities and intentional evolution, this session equips leaders with a clear roadmap to unlock the next phase of shared services maturity and sustain long-term enterprise value.
The Shared Services landscape is evolving at an unprecedented pace. In today’s hyper-competitive business environment, organizations must master talent retention, process standardization, and digital transformation to stay ahead. While productivity has always been a key metric, workforce analytics is now reshaping how businesses measure, optimize, and sustain performance at scale.
This exclusive workshop, hosted by ProHance, will explore the power of data-driven productivity strategies and how organizations can leverage workforce analytics to enhance operational efficiency and long-term workforce performance.
What You Will Learn:
This session will feature exclusive insights from industry research, providing a deep dive into the latest productivity trends, challenges, and strategic playbooks tailored for Shared Services and Global Business Services (GBS) organizations.
Operations Transformation in the age of AI
AI is here, it’s real, and it’s reshaping how operations run, learn, and scale. Yet most organizations struggle with how and where to apply AI in their operations.
This workshop cuts through the hype to reveal how enterprise operations are shifting from ERP and RPA to tailored AI-driven workflows that continuously learn and improve. You’ll walk away with clear and practical insight into transforming operations across Finance and HR with this new paradigm.
Key takeaways:
Explore how enterprise operations are evolving from ERP to ERP+ to customized AI-driven platforms that modernize processes without disrupting legacy systems.
Discover how intelligent automation and AI agents are transforming back-office operations from rule-based processes to intelligent, event-driven systems that act autonomously in the background.
Learn how AI orchestration can integrate modular AI components to achieve end-to-end automation that goes beyond fragmented, prompt-based interactions
Understand how Agentic AI fits into your transformation roadmap, helping reimagine processes beyond traditional linear models, with examples from back-office operations.
Shared services leaders are moving quickly from AI pilots to AI-enabled delivery models, as generative and agentic AI become embedded in core platforms and workflows across the organization. But scaling AI across a global services footprint introduces a new “trust gap”: inconsistent outcomes, limited transparency, and unclear accountability can stall adoption or create costly incidents.
In this workshop, PwC will translate Responsible AI principles into an operational control stack across the AI lifecycle and share a practical approach for scaling AI in shared services with confidence—treating governance as an accelerator, not a brake. We’ll cover how leading organizations operationalize controls across intake and use-case triage, data and privacy governance, model testing and monitoring, security, third-party risk management, and independent assurance.
Shared services leaders are moving quickly from AI pilots to AI-enabled delivery models, as generative and agentic AI become embedded in core platforms and workflows across the organization. But scaling AI across a global services footprint introduces a new “trust gap”: inconsistent outcomes, limited transparency, and unclear accountability can stall adoption or create costly incidents.
In this workshop, PwC will translate Responsible AI principles into an operational control stack across the AI lifecycle and share a practical approach for scaling AI in shared services with confidence—treating governance as an accelerator, not a brake. We’ll cover how leading organizations operationalize controls across intake and use-case triage, data and privacy governance, model testing and monitoring, security, third-party risk management, and independent assurance.
For mid-market organizations, transformation is no longer a destination — it is a continuous journey requiring deliberate operational design. Margin pressure, talent scarcity, regulatory complexity, and persistent microeconomic disruption have increased the demands on finance, HR, and IT. Traditional operating models are increasingly misaligned with today’s operational realities, and execution risk is rising.
This workshop captures how mid-market leaders are creating durable operational advantages. Participants will explore how organizations can rethink how work gets done, where decisions sit, and how execution is sustained, moving beyond isolated initiatives to build integrated operating models that absorb volatility while maintaining performance.
Workshop Focus
The session will address key themes introduced in the report, including:
• The pressure is structural, not cyclical: Mid-market leaders face persistent structural pressures that make operational advantage — the ability to maintain speed, control, and reliability under sustained complexity — the key measure of performance.
• Leaders are pulling multiple levers at the same time: Midmarket leaders are simultaneously pulling multiple levers to drive growth, efficiency, and resilience, making the ability to coordinate execution through a consistent, accountable operating model the key to sustained performance.
• Talent is no longer an HR issue it is an operating constraint: Talent is a critical operating constraint, and operational advantage depends on embedding institutional knowledge and execution experience into resilient operating models rather than relying on individual employees.
• AI investment is accelerating but execution remains the gap: AI investment alone is insufficient—operational advantage depends on embedding AI into structured operating models where governance, accountability, and execution are clearly defined.
• The real reframe - Operational advantage as a strategic tool: Operational advantage is the true measure of transformation, enabling organizations to sustain performance, absorb change, and maintain confidence amid continuous pressure and complexity.
Key Takeaways
• Operational advantage is the new performance metric – Success is measured not by transformation initiatives or technology adoption alone, but by an organization’s ability to sustain speed, control, and reliability under ongoing structural pressures.
• Execution, not effort, drives results – Pulling multiple levers (growth, efficiency, talent, AI) only creates value when coordinated through a consistent, accountable operating model that embeds experience, knowledge, and governance.
• Technology and talent are amplifiers, not solutions – AI and workforce investments deliver impact only when integrated into operating models that reinforce judgment, process discipline, and operational resilience.
As Global Business Services (GBS) organizations are expected to deliver faster outcomes, higher productivity, and greater strategic impact, many leaders are reaching the limits of traditional automation and incremental digital improvement. A new inflection point is emerging: agentic AI, where intelligent systems move beyond task execution to proactively manage, coordinate, and resolve work across end-to-end services. This shift represents a powerful opportunity for GBS to accelerate value – not through technology alone, but through smarter operating models.
This interactive workshop session will begin with a short, shared perspective on why agentic AI is relevant now for GBS, focusing on market pressures, talent constraints, and rising expectations from enterprise stakeholders. We will draw on Capgemini’s direct experience partnering with GBS organizations across industries, highlighting how leading enterprises are already leveraging agentic approaches to improve service outcomes, decision quality, and scalability.
The session will then move into interactive breakout discussions with attending clients, centered on four practical acceleration themes. Participants will explore where agentic solutions deliver the highest business value in GBS, including finance, HR, IT, procurement, and customer operations.
We will discuss how to accelerate adoption and trust, addressing change, governance, and workforce readiness. Finally, we will examine how to move from pilots to measurable business impact, using Capgemini’s proven frameworks, reusable assets, and playbooks that help GBS teams shorten time to value and reduce execution risk.
Designed for GBS leaders by GBS practitioners, this session offers peer insights, real-world lessons, and actionable guidance to help organizations move confidently from experimentation to scaled, sustainable value through agentic acceleration.
Many GCC/GBS initiatives stall not due to intent, but because of execution friction across location, talent, vendors, governance, and risk. Join this guided executive simulation to navigate real trade-offs under time, cost, talent, and risk constraints with access to deep data and expert assistance. Explore why setups fail in the first 24 months including challenges like strategic drift, weak location readiness, vendor-heavy execution, and late-detection governance. This workshop will offer collaborative small-group blueprint building, including choosing a city and backup location, sequencing talent and vendors, responding to regulatory or talent shocks, and managing trade-offs between speed, cost, and resilience.
Together, we will explore the five success criteria:
Key Takeaways:
When an organization sets out to transform, the first question is often "Where do we start?" In this session, we explore how a cross-functional approach to understanding how work really gets done can provide the clarity needed to prioritize change, improve efficiency, and guide strategic investment. From HR to Finance, IT to Operations, gaining visibility into work activities, resource allocation, and cost drivers can uncover both hidden bottlenecks and untapped potential. This discussion will highlight a client’s journey through an enterprise-wide workforce efficiency assessment — the challenges faced, the surprising insights revealed, and the actions taken to position the organization for long-term success.
Most Shared Services AI projects fail long before ROI is even measured—not because the technology doesn’t work, but because the wrong problems are chosen to solve. The real competitive advantage lies in knowing where AI can make the biggest difference, and building a roadmap that takes those use cases from concept to enterprise-wide reality.
Learn how to build use cases that clearly demonstrate ROI and economic value, including how AI can enhance customer experience and increase lifetime customer value by creating consistent, effective support interactions. If you’re aiming for scalable AI solutions that move beyond experimentation to real-world results, this session will provide a roadmap for success.
Transforming a shared services workforce in the digital era, while maintaining or even improving service levels, is no small feat. With AI, automation, and advanced analytics reshaping operations, leaders must go beyond simply automating existing tasks. The real opportunity lies in reimagining how work gets done altogether- rethinking processes, roles, and value delivery in ways that weren’t possible before. This session explores how to protect today’s performance while driving exponential shifts in experience, job content, and operating models that define the future of shared services.
Key Takeaways:
Achieving an "unstoppable" finance operation means embracing intelligent automation and artificial intelligence, but you don't have to do it all at once. This session demystifies the process by presenting a practical, phased-in strategy for your digital transformation journey. Learn how to break down your technology roadmap into manageable "bites"—from initial process automation to advanced predictive analytics—ensuring each step delivers clear ROI without overwhelming your team. We will cover key strategies for project sequencing, risk mitigation, and fostering an AI-ready culture. To illustrate this path, we will share a compelling customer success story, highlighting how they are successfully navigating their journey to becoming an unstoppable, tech-empowered finance function.
Order-to-Cash (O2C) has always been a critical lever for working capital optimization—but the boundaries of traditional automation have been reached. The next leap forward is Agentic AI: autonomous, goal-driven AI agents capable of making contextual decisions, executing complex workflows, and self-improving with every transaction. Learn how a national rental equipment company found its account teams drowning in volume and complexity, with a disproportionate number of resources consumed by the top three customers while thousands of other accounts with high-value invoices were left to wait. They turned to Sidetrade’s AI Collection agent Aimie to accelerate collections and improve cashflow. Implementing a practical approach, you’ll hear how AI Collection Agent Aimie identified 1000s of national accounts based on invoice value and risk, handling outreach, follow-ups, summarization, and next-best actions—so human collection analysts focused on escalations and relationship work. Next, we will explore how Agentic AI continue to transform O2C into a dynamic, predictive, and customer-centric function to drive accelerated cash flow, reduce DSO, and free finance talent to focus on strategic growth and stakeholder relationships.
Key Takeaways:
Happy Birthday SSOW!
It’s not just the luck of the Irish, it’s the luck of turning 30 in style! Join us for a shamrockin’ celebration where birthday magic meets St. Patrick’s Day cheer. Think neon meets emerald, where green is the vibe, the music is lively, and the dance floor is calling.
Whether you come decked out in emerald green or will be chasing rainbows, this milestone birthday is the perfect excuse to raise a glass, share some good fortune, and toast to the next 30 years.