For years, the case for GBS was largely financial: move repeatable work into a lower-cost structure, standardise it, and capture scale. That case has not disappeared. It has simply become too small for the role GBS now needs to play.
The evidence is visible in the choices organisations are making. Cost is no longer the dominant outsourcing driver it was only a few years ago. Access to talent, speed and operating effectiveness now carry more weight. At the same time, most large GBS organisations are expanding scope, not shrinking it.
The important question is therefore no longer whether GBS has a future. It is whether leadership teams are designing it for the future that is already arriving.
The model has moved through three generations
Shared services
Transactional consolidation, process standardisation and labour arbitrage. P2P, O2C and R2R remain the backbone.
Multifunctional GBS
One organisation serving multiple functions, markets and business units through a common operating model.
Enterprise value engine
Data stewardship, AI execution, decision support, talent development and operational resilience.
The third generation is not a prediction. It is already visible in the market. Three quarters of organisations now operate multifunctional, multi-country models. Most plan to expand scope. More leaders say their recognition comes from creating value than from reducing cost.
Even location strategy is being rewritten. India, the United States and Poland remain important, but Mexico and Portugal are gaining ground as organisations look for a more balanced blend of capability, cost, resilience and time-zone coverage. Geography still matters. Governance matters more.
AI changes the work—and exposes the operating model
AI is now the clearest test of whether a GBS organisation is genuinely integrated. More than half of GBS organisations have started, or are planning, a generative-AI journey. Agentic AI has moved ahead of traditional RPA as an investment priority. Finance and IT are leading the early use cases.
But ambition is running ahead of operating maturity. Many shared-services organisations remain only partly automated. A minority of companies have fully integrated AI agents, and a meaningful share of early adopters cannot yet demonstrate a return.
This is precisely where GBS has an advantage. It sits close to the transactions, the process rules, the exceptions and the people who resolve them. That makes it the natural place to move AI from demonstration to dependable operation.
Why GBS is structurally important
When it is designed with a forward view, GBS becomes more than a delivery organisation. It becomes the enterprise operating system for scale. Six advantages explain why.
A single source of process truth
GBS sees transactions across P2P, O2C and R2R. It therefore holds the most complete operational view of how work, data and control actually move through the enterprise.
Cost, risk and data in the same line of sight
Individual functions see their part of the process. GBS sees the flow between them—where value leaks, where risk accumulates and where data loses integrity.
A hedge against talent scarcity
The accounting pipeline is tightening. A multi-location GBS model gives organisations access to capability that cannot be secured reliably through local hiring alone.
The operational layer for AI
Agents need governed data, clear ownership, exception routes and measurable service levels. GBS already has the beginnings of that management system.
A buffer against disruption
Multi-location delivery, nearshore layers and common process ownership give the enterprise alternatives when a market, system or supplier is disrupted.
Continuous compliance
E-invoicing, Pillar Two, CSRD and AI regulation are moving compliance closer to the transaction. GBS is positioned to embed control and reporting into everyday execution rather than reconstruct evidence after the event.
What GBS can deliver over the next five years
The winners between 2026 and 2031 may not be the companies with the most impressive transformation strategy. They will be the companies with the strongest execution architecture.
For GBS, the opportunity is tangible: a lower cost curve through touchless processing; a faster close through continuous accounting; rolling cash visibility; transaction-level compliance; stronger finance career paths; and AI use cases that produce enterprise-scale returns rather than isolated productivity gains.
Build the foundation
Unify leadership, standardise processes and resolve data fragmentation before scaling AI.
Scale AI responsibly
Move agentic AI into exception handling, analytics and master-data workflows with clear controls.
Expand the value mandate
Bring tax support, statutory reporting, master data and selected procurement capabilities into scope.
Price outcomes, not effort
Introduce transparent unit economics and shift appropriate services away from FTE-based measures.
Operate as the enterprise nerve centre
Combine autonomous transactions, decision support, liquidity visibility and continuous control.
Five moves that deserve more attention
The conventional roadmap is necessary, but it is not enough. Five design choices will separate genuinely future-ready GBS organisations from centres that merely automate yesterday’s model.
Make GBS the enterprise data trust
Today, GBS cleans data. Tomorrow, it should own governed transaction data products—invoice, order, journal and payment streams with clear standards and service levels. AI conversations tend to focus on models; the harder question is who owns the data those models depend on.
Create an agent governance office
Mixed workforces require more than technology governance. Organisations will need agent service levels, exception rules, audit trails, performance reviews and retirement decisions. GBS can become the place where human and digital work is managed as one system.
Offer resilience as a service
Operational shocks quickly become financial events. A next-generation GBS organisation can maintain the 13-week cash view, the continuity ledger and the finance “war room” before a crisis—not assemble them once the damage is visible.
Build an internal talent refinery
The accounting profession cannot hire its way out of the skills gap. GBS can create structured rotations between analytics pods and business teams, build agent-supervision careers and give finance talent the global exposure that increasingly matters more than location.
Preserve the option to become a business
A mature GBS organisation with outcome pricing, data products and specialised services can serve joint ventures, franchisees or external clients. Giving it transparent economics early preserves that option; retrofitting a commercial model later is far harder.
The first decision is not about technology
The gap between ambition and execution is already visible: automation remains partial, outcome pricing is rare, and AI value falls away when data and ownership are fragmented.
GBS has earned a larger role. Whether it performs that role will depend less on how many activities are moved into it and more on the charter it is given: cost centre, service organisation—or enterprise execution engine.
Draft editorial note: Statistical claims are based on the research inputs supplied for this paper. Source footnotes and external links should be verified and added before publication.