See It. Fix It. Scale It. How Workflow Intelligence Is Redefining AI Transformation in GBS

There's a paradox sitting at the heart of most Global Business Services (GBS) and Shared Services Centre (SSC) transformations today. Organizations are pouring investment into AI, automation, and intelligent process tools, yet the majority still can't answer a deceptively simple question: what are our people actually doing, and how is work really flowing through our operations?

Without that answer, AI transformation in GBS isn't a strategy. It's expensive guesswork.

An Industry at an Inflection Point

The GBS model has reached a critical juncture. There are now more than 7,000 captive GBS centers and 3,000+ outsourced centers operating globally. And the ambitions are high: 85% of large organizations are either fully committed to GBS or actively transitioning to it, according to SSON's 2026 State of the Industry report.

Yet beneath this momentum lies a troubling confidence gap. A 2024 Boston Consulting Group study found that fewer than half, just 41%, of companies believe their shared services function is actually creating value. Only a quarter of SSO leaders rate their organization as having reached an advanced stage of maturity. And despite over a decade of RPA investment, nearly a third of organizations still rank their automation capability as low.

The ambition is there. The investment is there. The results are not consistently following.

What's missing isn't more technology. It's the operational intelligence to deploy that technology where it will matter.

A Problem No One Can Afford to Ignore

The numbers put the stakes in sharp focus. According to The Hackett Group's 2025 GBS Key Issues Study, workloads across GBS functions are set to increase by 11% in 2025, while budgets grow by only 7%. That leaves GBS leaders with a structural 4% efficiency shortfall to bridge, every single year, just to stand still.

Meanwhile, 60% of GBS leaders view AI as critical to their cost reduction strategy, and 70% are focused on AI-driven value creation across spend and working capital management. Technology budgets are increasing by 10%. The intent to use AI is universal.

The execution gap, however, is significant. The biggest barriers GBS organizations report are: process complexity (73%), data quality and technology issues (71%), and unrealistic expectations about what AI can actually deliver (71%).

That last point is particularly revealing. Unrealistic expectations don't form in a vacuum. They form when organizations don't have a clear, evidence-based picture of how their processes actually behave, before they try to automate or optimize them.

• 73% cite process complexity as a barrier
• 71% face data quality & tech issues
• 71% have unrealistic AI expectations

You Can't Optimize What You Can't See

Ask a GBS leader how their Order-to-Cash or Procure-to-Pay process runs, and they'll describe the intended design, the process map on the wall, the SOP in the SharePoint folder. Ask them how it actually runs on a given Tuesday afternoon, across three geographies, across four systems, and the certainty starts to dissolve.

This is the workflow blind spot. And it is, without exaggeration, the single most expensive unknown in enterprise operations.

Finance and Accounting

Reconciliation bottlenecks pile up at month-end not because of headcount shortfalls, but because manual workarounds have crept into the process over years. Nobody mapped them. Nobody owns them. They just exist.

HR Services

Employee onboarding cycles stretch far beyond SLA targets. The delay isn't in any single step, it's in the handoffs between steps, in the invisible wait times between systems, in the tasks that fall through the cracks between IT, HR, and Legal.

Procurement

Maverick buying persists not because policies are unclear, but because the path of least resistance bypasses the approved workflow. Process mining tools show this consistently: in most Procure-to-Pay environments, there are far more process variants in practice than the process designers ever intended.

Customer-Facing Processes

Resolution times lag despite headcount investment, because no one has mapped where requests actually stall, which queues overflow, which approval gates create logjams, which agent behaviors drive rework.

In each case, the organization is flying partially blind. And when it deploys AI or automation into that blindness, it tends to either automate inefficiency (locking bad process into machine speed) or fail to achieve the ROI it projected (because the automation was pointed at the wrong bottleneck).

What GBS Leaders Are Actually Prioritizing

According to the latest research from SSON, The Hackett Group, and Deloitte, GBS leaders in 2025–2026 are focused on five interconnected priorities:

1. ‍Moving from transactional execution to strategic value delivery. A full 52% of GBS organizations are already shifting from back-office processing toward core business support, with only 14% saying this evolution is not on their agenda. The pressure to demonstrate strategic value, not just cost savings, has never been higher.
2. ‍Closing the AI maturity gap. In 2024, 42% of GBS organizations ran GenAI pilots. 63% of those who did reported meeting or exceeding expectations. But scaling from pilot to production remains the hard part, with process complexity and data quality cited as the top barriers. Most organizations remain at a medium level of automation maturity. Only a third have reached an advanced stage.
3. ‍Doing more with less talent. An alarming 84% of shared services leaders believe Gen Z hires will leave within three years. Attrition in delivery centers, particularly in India and the Philippines, continues to run at structurally elevated levels, with salary budgets rising nearly 10% annually just to stay competitive. The GBS workforce model has to stretch further with every passing year.
4. ‍Proving measurable outcomes. The days of the shared services model justifying itself through headcount reduction and labor arbitrage are over. Today's GBS leaders are measured on cycle times, working capital impact, SLA compliance, service quality, and increasingly, on their contribution to enterprise digital transformation. Every AI investment needs to show a return.
5. ‍Governing end-to-end processes, not just functional tasks. The adoption of Global Process Owners (GPOs) is accelerating, with organizations trying to build accountability and visibility across Source-to-Pay, Order-to-Cash, Hire-to-Retire, and Record-to-Report. The challenge is that end-to-end governance requires end-to-end visibility, which most organizations don't yet have.

Why Workflow Capture Is the Missing Foundation

Every one of these priorities shares a dependency: you need to know what's happening at the workflow level, in real time, across systems, across teams, across geographies, before you can meaningfully improve it.

This is precisely the capability that most GBS organizations are missing, and precisely what Worktrace.ai is built to provide.

Worktrace captures workflow activity as it actually happens, not as it was designed to happen. By observing work at the task, handoff, and process-flow level, Worktrace builds a dynamic, evidence-based picture of operational reality. This is distinct from process mining (which reconstructs flows from system logs, often missing the human layer entirely) and distinct from time-and-motion studies (which are point-in-time snapshots, too expensive to run continuously, and too disruptive to be accurate).

What Worktrace delivers is continuous, ambient workflow intelligence: a living map of how work moves through a GBS organization, where it slows, where it varies from design, where manual workarounds have embedded themselves into standard procedure, and where automation is likely to deliver real ROI versus where it will hit hidden friction.

How Worktrace Addresses the Five GBS Priorities

1. ‍Accelerating the shift to strategic value. Before GBS functions can shift from transactional to strategic, they need to eliminate the operational drag that consumes their capacity. Worktrace identifies where time is being lost to avoidable rework, inefficient handoffs, and low-value manual activity, creating the headroom for teams to focus on higher-value work.
2. ‍Making AI deployment actually work. The 73% of GBS leaders who cite process complexity as a barrier to AI adoption are describing a specific problem: they don't know enough about how their processes actually behave to confidently identify where AI will stick. Worktrace maps the real process, its variants, its exceptions, its edge cases, before any automation is deployed.
3. ‍Stretching talent further. Worktrace identifies where skilled people are spending time on tasks that should have been automated, on manual workarounds that could be eliminated, or on coordination overhead that better workflow design would reduce. In many GBS environments, Worktrace has helped organizations identify that 15–25% of skilled-resource time is consumed by activity that could be handled differently.
4. ‍Proving measurable outcomes. Worktrace provides the before-and-after measurement framework that makes ROI verifiable, not projected. This turns AI transformation from a cost center into a demonstrable value center.
5. ‍Enabling end-to-end process governance. Worktrace gives Global Process Owners the operational visibility they need to govern end-to-end workflows in real time, turning GPO governance from a periodic review exercise into a live operational capability.

The Imperative

The GBS industry is at a turning point. The organizations that will lead in 2026 and beyond are not necessarily those with the most AI pilots running, the biggest automation platforms deployed, or the most sophisticated GenAI roadmaps on paper. They are the ones who have built the operational intelligence foundation that makes all of those investments work.

Workflow visibility is not a nice-to-have for GBS AI transformation. It is the prerequisite.

Worktrace.ai exists to provide that prerequisite, and to turn the workflow blind spot from GBS's most expensive unknown into its most powerful competitive advantage.

Sources: SSON State of the Shared Services & Outsourcing Industry 2025/2026; The Hackett Group 2025 GBS Key Issues Study; Deloitte 2025 Global Business Services Survey; BCG 2024 Shared Services Value Study; Auxis/SSON GBS Industry Report 2025; IDC Growth and Transformation of Global Business Services 2024; KPMG AI Transformation in Global Business Services 2024.