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From Efficiency Engine to Enterprise Value: The GBS Inflection Point

Key takeaways from our recent Dbrief webinar on future-proofing Global Business Services

Global Business Services (GBS) is at an inflection point. For years, the model has created value through scale, standardisation, labour arbitrage and disciplined process management. Those foundations still matter, but digital disruption and rising enterprise expectations are changing what good looks like.

In our recent webinar, “Prevailing trends in Global Business Services”, we explored why efficiency is increasingly the price of admission rather than the prize, how AI is reshaping service delivery, and what leaders need to align now to make GBS a platform for end-to-end enterprise outcomes.

What we heard from the room (polling insights)

We asked attendees about their ambition for GBS, the trends attracting investment and the barriers to scaling AI. The responses revealed an organisation-wide balancing act:

The 2030 ambition

For your organisation, what should GBS primarily become by 2030?
For your organisation, what should GBS primarily become by 2030?

Response

% of respondents

A Cost-Optimised Efficiency Engine

53.8%

An Autonomous Service/Operational engine

42.3%

A Strategic Value Partner

38.5%

A Digital & Innovation Hub

30.8%

A Talent & Capability Centre of Excellence

19.2%

An Enterprise Transformation architect

15.4%

Unsure / Don’t know

15.4%

53.8% of respondents still see GBS primarily as a cost-optimised efficiency engine. However, 42.3% selected an autonomous service or operational engine, 38.5% a strategic value partner and 30.8% a digital and innovation hub. As multiple selections were permitted, the result is less a single destination than a layered ambition: short term priorities with longer term ambition.

Today's priority

Which of these key trends is receiving the greatest focus in your finance organisation today?
Which of these key trends is receiving the greatest focus in your finance organisation today?

Response

% of respondents

Digital, automation, and GenAI enablement

41.9%

Standardisation and process consistency

29.0%

Cost efficiency and labour arbitrage

22.6%

Access to global talent and critical skills

0.0%

Don’t know/not applicable

6.5%

Digital, automation and GenAI enablement led the second poll at 41.9%, ahead of standardisation and process consistency at 29.0% and cost efficiency and labour arbitrage at 22.6%. Investing today in these priorities is crucial to achieving 2030 GBS ambitions.

The biggest constraints

Which enterprise capability is the biggest constraint on scaling your AI-enabled Finance GBS/BPO model today?
Which enterprise capability is the biggest constraint on scaling your AI-enabled Finance GBS/BPO model today?

Response

% of respondents

Data quality, security, and governance limitations

29.2%

Capability: Lack of skills or capability gaps

25.0%

Capacity: Availability of existing capacity

16.7%

Clear use cases and measurable value/ROI

16.7%

Not currently scaling GenAI/no barriers identified/unsure

8.3%

Capital: Access to capital

4.2%

Data quality, security and governance ranked first at 29.2%, closely followed by skills and capability gaps at 25.0% which, interestingly, did not feature in the current priorities poll. Capacity and the need for clear use cases and measurable value each received 16.7%, while access to capital was selected by 4.2%. The message is clear: technology is only one part of the scaling challenge.

These findings reinforce a central theme from the discussion: leaders are not choosing between efficiency and enterprise value. They are being asked to deliver both, while strengthening the foundations needed to scale.

Why GBS Is at an Inflection Point

Two imperatives are converging. First, AI and other exponential technologies are absorbing more repeatable activity, reducing the runway for labour arbitrage as the primary source of value. Second, enterprise expectations have moved beyond cost reduction to speed, resilience, customer experience and growth.

The leadership choice is therefore not whether to add technology to today's operating model. It is whether to keep optimising a shrinking pool of transactional work or reposition GBS as the place where end-to-end processes are orchestrated and transformed. That requires a broader mandate, new measures of value and clearer accountability across functions.

Redirecting Digital Capacity into Enterprise Value

Today, much of GBS capacity remains focused on running the business. The future ambition discussed in the webinar is materially different: digital full-time equivalents absorb routine volume while human capacity shifts towards transformation and architecting business solutions.

The reinvestment decision: Automation can release capacity, but the value captured depends on what happens next. If that capacity is treated solely as cost takeout, the organisation receives a one-time benefit. If it is deliberately redirected into transformation, insight and solution architecture, GBS can become an engine for continuous enterprise value.

An integrated system of work: Run teams, transformation teams and enterprise architects need to operate as one system, supported by appropriate roles, governance and funding. The objective is not simply to keep the lights on more cheaply, but to use digital capacity to improve outcomes while maintaining control and service quality.

Agentic AI Is Resetting the Definition of Good Service

Agentic AI does more than make existing services cheaper. It changes what customers consider acceptable. As proactive, end-to-end services become possible, they can quickly become the baseline expectation. Three shifts follow: from cost focus to value partnership; from siloed processes to AI-enabled workflows that transcend organisational boundaries and human constraints; and from automation of individual process steps to broad digitalisation

Operating Model Choices Are Becoming More Dynamic

There is no single destination model for GBS. Organisations continue to use outsourcing, centres of excellence, shared services and captive or Global Capability Centre structures, often in combination. Models such as Build-Operate-Transform-Transfer are becoming more popular as the traditional value case for GBS moves from one of mere cost optimisation to creation of value driven by Partners that can transform at speed and scale to then be brought back in-house as a transformed capability.

The right choice depends on current maturity, capability needs, risk appetite and the strategic importance of the work.

Location Strategy Is Moving Beyond Cost

India, the US and Poland remain prominent GBS locations, while Mexico and Spain are becoming increasingly important. Yet location decisions are no longer simply a cost exercise. Access to skills, the ability to scale specialised capabilities and delivery resilience are increasingly influential.

What You Should Take Away

  1. GBS is at an inflection point: Digital disruption and an expanded mandate are moving GBS beyond transactional execution and cost efficiency towards AI-augmented judgement and strategic enterprise value.
  2. The operating model is fundamentally shifting: The future model moves from transactional processing to digitally powered, end-to-end transformation and expanded delivery. Partnership models like BOT/BOTT (Build-Operate-Transform-Transfer) are becoming increasingly popular
  3. Critical enablers must work as one system: Leadership and a clear mandate set the direction; talent, data and technology build the capability; and adoption turns AI investment into sustainable value at scale.

The GBS organisations that lead will not simply process transactions faster. They will use integrated data, technology, talent and governance to sense, decide and transform faster across the enterprise. The direction of travel is clear: from an efficiency engine towards an AI-augmented platform for measurable, sustainable value.