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Vertage research finds only 15% of businesses are ready to deliver outcome-based work consistently

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Vertage has published The Outcome Economy at Work, a global research report examining how enterprises organise work around business outcomes and what separates organisations capable of delivering them consistently from those still adapting.
Published on October 15, 2026, the study finds that 74% of enterprises define significant work around outcomes, but only 15% are ready to deliver them consistently.
The findings suggest that adopting an outcome-based approach requires more than setting targets or investing in technology. Businesses must also align ownership, workforce planning, operating processes and culture around the results they want to achieve.
Outcome-ready businesses report stronger performance
The report identifies clear differences between organisations classified as outcome-ready and those that are not.
According to the research, outcome-ready businesses report higher customer satisfaction, stronger delivery against strategic goals and faster conversion of opportunities into value.
| Performance measure | Outcome-ready businesses | Other businesses |
|---|---|---|
| Customer satisfaction | 91% | 67% |
| Delivery of strategic goals | 86% | 65% |
| Conversion of opportunities into value | 85% | 64% |
| Employees understand their contribution and can adapt their work | 69% | 34% |
These findings indicate that outcome readiness is associated with both business performance and employee experience. Organisations that connect work more directly to desired results appear better positioned to coordinate execution and help employees understand how their contributions support wider goals.
Three dimensions of outcome readiness
Vertage identifies three dimensions that distinguish organisations capable of delivering outcomes consistently.
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Structural readiness: Aligning ownership, investment and decision-making around business results rather than simply allocating resources or headcount.
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Operational readiness: Coordinating employees, specialist talent, external partners, suppliers and AI as part of a connected delivery model.
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Cultural readiness: Giving employees clarity about expected results, the trust to exercise judgment and the authority to adapt how work gets done.
The research found that 57% of outcome-ready businesses plan delivery through a unified strategy spanning employees, partners, suppliers and AI, compared with 40% overall.
They are also more likely to measure the full cost of delivering outcomes, at 55% compared with 31% across the broader group.
Together, these practices point to a shift from measuring the resources assigned to a task towards understanding the value those resources deliver.
AI capacity is growing faster than work is changing
One of the report's central findings concerns the difference between leaders' and workers' perceptions of AI's impact.
While 71% of enterprise decision-makers say AI has increased organisational capacity, only 43% of workers agree. The 28-percentage-point gap suggests that businesses may be realising productivity potential at a leadership level without employees experiencing the same benefits in their day-to-day work.
For organisations, this raises questions about how AI is introduced into existing workflows, how responsibilities are redesigned and whether employees have the support needed to work effectively alongside AI systems.
The report argues that outcome readiness involves making deliberate decisions about how work should be delivered, including whether to develop capabilities internally, use specialist partners, access flexible talent or automate suitable tasks.
The emphasis is on selecting the right combination of people and technology for the intended result, rather than treating AI adoption as an end in itself.
Culture remains central to the outcome economy
Beyond systems and technology, Vertage identifies workplace culture as a defining factor in outcome readiness.
The report's findings suggest that employees are better positioned to contribute when they understand the intended result and have the trust and authority to adapt their approach.
The research includes examples of organisations giving cross-functional teams responsibility for delivering defined outcomes through 90-day sprints. Another example describes employees being encouraged to challenge AI-generated output, helping identify errors earlier and strengthen confidence in the results.
Vertage Group CEO Edzard Overbeek said: "AI adoption no longer separates strong businesses from the rest. Outcome readiness does."
He added that the strongest businesses organise people, partners and AI around a clear result while keeping human judgment at the centre.
A five-stage framework for closing the gap
The report introduces a five-stage outcome-readiness diagnostic designed to help organisations assess where they stand between resource-led work and consistent outcome delivery.
Rather than suggesting that businesses need to redesign their entire operating model at once, the framework helps leaders identify gaps and determine the next changes that could improve readiness.
Sarah White, founder and managing director of Lemon, an independent strategy and research firm specialising in HR and talent technology, contributed to the report. She emphasised that organisations are navigating a fundamental change in how work is organised and that understanding existing gaps is an important starting point.
The findings provide a practical consideration for enterprise leaders: improving outcomes requires deliberate changes to how responsibilities, technology, talent and decision-making fit together.
Moving beyond AI adoption to measurable outcomes
The research arrives as enterprises continue to invest in AI while seeking clearer evidence of its impact on business performance.
Vertage's findings suggest that the differentiator is not simply whether organisations use AI, but whether they can combine technology with the right operating structures, workforce capabilities and culture to deliver results consistently.
For leaders, this means assessing AI initiatives alongside broader questions about how work is designed, who owns outcomes and how success is measured.
The full report, The Outcome Economy at Work, is available through Vertage's research page, which also includes its five-stage outcome-readiness diagnostic.
About Vertage
Vertage is a workforce technology and services company focused on helping organisations combine specialist talent and AI to address workforce and delivery challenges. The company says its global community includes 1.5 million specialist talent members across 80 countries, supported by enterprise-grade governance and decades of workforce expertise.
Source and Credits
Vertage, The Outcome Economy at Work
Research Methodology
Opinium Research surveyed 800 enterprise decision-makers and 1,200 fixed-term contract workers across the United States, the United Kingdom and Ireland, Australia, India, Belgium and the Netherlands between July 6 and 24, 2026. The study also included 10 in-depth interviews with senior Vertage client decision-makers.