The 2026 State of Agility in Procurement & Supply suggests that the next frontier of supply chain performance will be determined less by how well individual functions optimise their own activity and more by how quickly organisations, suppliers and partners can see, decide and respond together.
Supply chains have spent years becoming more data-rich, more connected and more technologically sophisticated.
Planning platforms are stronger. Visibility tools are improving. Automation is removing administrative work. AI is accelerating analytics and helping organisations detect patterns earlier than before.
Yet the 2026 State of Agility in Procurement & Supply points to a stubborn constraint beneath those advances.
Seventy per cent of respondents believe their current operating model constrains the benefits that could be achieved from AI. Among organisations that have adopted AI, 73% report that adapting the operating model required to scale those benefits remains difficult or only partially implemented.
For supply chain leaders, this matters because resilience is not created by visibility alone.
A network can detect a disruption quickly and still respond slowly. A planning system can identify a constraint, but the organisation can still wait for approval. A supplier can flag risk early, but the information can remain trapped in one function. Procurement, operations, finance, logistics and technology can each act rationally while the total system moves badly.
The challenge is therefore moving beyond prediction towards coordinated action.
Resilience depends on the speed of the whole system
The State of Agility report shows just how strongly organisations now value adaptability. Ninety-six per cent of respondents consider business agility strategically important in dealing with greater market uncertainty.
That priority is especially relevant to supply chains, where uncertainty is not theoretical. Demand shifts. Capacity changes. Suppliers fail. Transport routes tighten. Regulations move. Customer priorities change. Geopolitical conditions can alter the economics of a network with little warning.
Traditional supply chain optimisation has often focused on planning accuracy, inventory efficiency, service levels, cost and utilisation.
Those remain critical. But resilience introduces another variable: how quickly can the system adjust when the assumptions behind the plan stop being true?
The research suggests that organisational structure is often the limiting factor.
Ninety-four per cent of respondents say functional silos limit or delay value creation to some degree. More than half, 56.54%, say the impact is significant, while another 9.42% describe it as critical.
The leading bottlenecks identified in the report are also familiar to anyone managing end-to-end supply performance. Requirement and scope definition sits first, followed by governance and approvals and then finance approvals and budgeting. The most common root causes of slowdown are conflicting functional objectives, limited transparency between silos and changing requirements or constraints.
These problems become more serious in a supply chain because delays compound as work moves across functions and organisations.
A planning team can optimise a forecast while procurement works against a different commercial assumption. Operations can prioritise continuity while finance prioritises working capital. Procurement can secure supply while logistics lacks capacity. A supplier can respond to one set of requirements while the customer organisation changes another.
Each local decision may be defensible.
The end-to-end result can still be slow, expensive or brittle.
That is the distinction the report brings into focus. High-performing supply chains cannot be built only through better functional performance. They require an operating model that allows information, authority and action to move across the complete value stream.
The report captures the underlying issue in a simple principle: every handoff creates the potential for delay, distortion and loss. AI can improve individual steps. Only redesign improves the system.
For supply chain leaders, the implication is clear. Resilience is increasingly an operating-model capability.
AI can improve visibility. It cannot create alignment by itself.
The report does not argue that technology is failing. Respondents already identify valuable benefits from AI and technology investment.
Improved analytics and reporting represents 27.59% of reported benefit, automation of operational tasks 26.11%, business insights 23.65% and self-service enablement 19.7%.
For supply chains, those capabilities are highly relevant.
Better analytics can improve forecasting. Automation can reduce transaction time. Faster insight can help identify risk. Self-service can remove unnecessary dependency on central teams.
But the value of all four depends on what happens after the signal appears.
A risk alert is useful only if somebody can act on it. A demand change matters only if procurement, planning, logistics and suppliers can adjust together. Better inventory data creates limited value if decision rights remain fragmented. Faster supplier intelligence creates limited resilience if governance requires multiple sequential approvals before the organisation can respond.
This is where many organisations remain constrained.
The report shows that traditional divisional, functional and matrix structures still dominate, while genuinely adaptive and AI-enabled operating models remain comparatively rare.
Technology capable of responding in real time is therefore often embedded inside organisations that still make decisions through structures designed for slower, more predictable conditions.
The result is a coordination gap.
The system sees more but cannot necessarily move faster.
The report’s target operating model points towards a different design. Respondents favour cross-functional and empowered teams, AI-enabled and data-driven decision-making, and agile, adaptive and simplified governance. High-performing commercial models are described as data-driven and dynamically adjusted, supported by empowered teams and AI-enabled platform capabilities.
That matters to supply chain because resilience is fundamentally cross-functional.
Planning, procurement, logistics, operations, finance, technology and suppliers all influence the same outcome. The ability to coordinate those actors matters more under disruption than the optimisation of any one function.
For supply chain leaders, the test for technology investment should therefore become more demanding.
Does the platform improve visibility inside one function, or does it create shared visibility across the value stream? Does AI improve one planning activity, or does it help multiple functions make a better joint decision? Does automation remove manual work, or does it reduce elapsed time from signal to response?
The distinction is critical.
A faster forecast is not the same as a faster supply chain.
The ecosystem gap is now the resilience gap
The strongest supply chain implication in the State of Agility research appears when the study moves beyond organisational boundaries.
Ninety-three per cent of respondents believe reducing fragmentation with strategic customers and suppliers is important or very important.
That finding reflects a basic reality of modern supply chains: the organisation does not control the complete system it depends on.
Materials, capacity, logistics, technology, specialist capability and customer demand all sit across a network of independent organisations. Resilience therefore depends on the quality of coordination between those organisations, not simply the efficiency of the company at the centre.
The report identifies innovation, go-to-market activity, R&D and sales and marketing as areas where respondents see the greatest need for cross-company collaboration. The principle extends directly into supply chain performance.
When conditions change, companies need suppliers and partners that can adapt with them.
That requires more than contractual compliance.
It requires shared visibility, aligned objectives, faster information exchange, earlier involvement and commercial relationships capable of responding when requirements change.
Yet the maturity data shows how far most organisations still have to travel.
Seventy-eight per cent of respondents report being at some stage of adopting a new operating model to scale AI-driven value. 31.11% are conducting first experiments with cross-functional practices and AI solutions. 22.22% report successful pilots and 15.56% have initiated functional transformation. Only 7.41% report transformation coordinated at company level, and just 1.48% say transformation includes partners across the value stream.
That 1.48% figure is particularly important for supply chain leaders.
Most organisations are still transforming inside the enterprise while the supply chain itself exists outside it.
That creates a structural mismatch.
Companies may improve internal planning, automate procurement, strengthen analytics and redesign internal teams, but the complete value stream still depends on external partners operating through different systems, incentives, data environments and governance structures.
The resilience challenge therefore cannot be solved entirely inside the organisation.
The next generation of supply chain operating models will need to treat strategic suppliers and partners as participants in selected parts of the value stream rather than as entities that receive instructions after internal decisions have been made.
That does not mean removing commercial discipline or opening every decision to every supplier.
It means being deliberate about where collaboration creates advantage.
Where should suppliers see demand signals earlier? Which partners should participate in scenario planning? Where can shared data reduce latency? Which strategic relationships require joint governance rather than periodic performance reviews? Where should commercial agreements allow adaptation rather than assume fixed conditions?
The report specifically highlights adaptive contracting, relational governance and outcome-based approaches as increasingly important where fixed requirements and static governance restrict adaptability.
For supply chain leaders, these are resilience mechanisms as much as commercial mechanisms.
A network cannot adapt quickly if every change requires the commercial relationship to be renegotiated from first principles.
Decision speed is becoming a supply chain KPI
One of the most striking findings in the research concerns the amount of speed organisations believe is trapped in fragmentation.
When respondents were asked how much faster their organisations could operate if barriers to shared decisions and accountability were reduced, 44.08% estimated a 20% improvement and 38.82% estimated a 50% improvement. A further 9.87% selected between 10% and 20%, while 4.61% believed their organisation could become 100% faster. Only 2.63% expected no improvement.
These are respondent estimates rather than measured performance outcomes, but they highlight a major opportunity.
Supply chain performance is often measured through service, cost, inventory, forecast accuracy, OTIF, lead time and working capital.
The research suggests another metric deserves greater attention: decision latency.
How much time passes between a signal appearing and an accountable decision being made?
How much time is lost while one function waits for another? How often is information reinterpreted as it moves through the organisation? How quickly can a supplier warning reach the person authorised to act? How long does a budget decision take once a resilience risk becomes visible? How much elapsed time sits between a commercial requirement changing and the ecosystem receiving the new direction?
Those delays can be invisible in traditional functional dashboards.
They become painfully visible during disruption.
A resilient supply chain therefore needs more than visibility. It needs clear decision rights, shared information and predefined mechanisms for action.
That is why empowered cross-functional teams matter. That is why simplified governance matters. That is why platform-based self-service matters. And that is why suppliers need to be incorporated into selected decision processes rather than treated as a downstream audience.
The objective is not to create a permanently decentralised organisation in which control disappears.
It is to move authority closer to the information while preserving appropriate policy, risk and accountability.
In stable conditions, traditional governance can feel manageable. In volatile conditions, every unnecessary approval becomes part of the lead time.
The supply chain mandate is becoming an ecosystem mandate
The leading barriers identified by the study show why this change remains difficult.
Organisational resistance to change ranks first, followed by lack of skills and experience with agile methods and organisational culture being at odds with agile values. Insufficient training, inadequate management support and governance constraints also feature prominently.
These are not technical barriers.
They are behavioural and organisational barriers.
For supply chain executives, this broadens the leadership mandate.
The role is no longer simply to make the network more efficient or resilient within the existing organisational model. Increasingly, supply chain leaders must help redesign how decisions are made across planning, procurement, operations, logistics, finance, technology and the supplier base.
That means challenging conflicting objectives where they damage end-to-end performance.
It means distinguishing between local optimisation and system optimisation.
It means building shared visibility rather than simply improving reporting.
It means identifying which strategic partners need deeper collaboration and which relationships should remain transactional.
It means designing escalation paths before disruption occurs rather than improvising them during a crisis.
And it means ensuring that AI is connected to action, not merely to insight.
The benefits reported by organisations adopting new operating models help explain the opportunity. Respondents cite improved decision-making, stronger business alignment, improved customer satisfaction, improved time to market and improvements in total cost of ownership.
Those outcomes are highly relevant to supply chain because they describe a network that is not simply cheaper or more automated, but more responsive.
Ledger Series Media saw the same themes emerge while supporting the State of Agility campaign. Direct engagement across senior supply chain, procurement, technology, transformation and leadership audiences repeatedly moved beyond AI itself towards governance, silos, decision rights and cross-functional execution. Nearly half of the completed survey responses recorded at that stage came through Ledger Series Media’s own campaign activity, giving the Group a substantial direct view into how senior professionals were approaching these challenges.
That experience reinforced why the State of Agility conversation matters across the Ledger portfolio. The question is not whether organisations can deploy more technology. It is whether increasingly complex commercial ecosystems can coordinate quickly enough to convert technology into performance.
For Supply Chain Ledger, that is the central implication of the 2026 findings.
The next supply chain transformation will not be defined only by stronger forecasting, richer visibility, more automation or smarter planning platforms. Those capabilities will be part of it. The defining shift will be whether supply chain leaders can create an operating environment in which internal teams and external partners see, decide and adapt together.
That is also why Ledger Series Media Group is supporting the discussion across its portfolio. Through Ledger Series Intelligence, the Group will continue building on themes raised by the research through market insight, executive commentary and practical perspectives on the operating questions organisations are now confronting.
As Alexander Barron notes in the report foreword, technological progress is moving quickly, but lasting transformation continues to depend on people, leadership, collaboration and the ability to adapt.
For supply chain leaders, that may be the defining challenge of the next phase.
AI can improve visibility.
The supply chain opportunity is to redesign how the ecosystem sees, decides and responds together.
Explore the full 2026 State of Agility in Procurement & Supply
The report examines business agility, operating-model redesign, AI adoption, organisational fragmentation, supplier ecosystems, commercial collaboration and the practices organisations are using to create faster, more adaptive commercial systems.
