The 2026 State of Agility in Procurement & Supply suggests that the biggest barrier to AI-driven transformation may not be technology at all. It is the organisation around it: how leaders distribute authority, align objectives, shape culture, simplify governance and create the conditions for people to act across traditional boundaries.
AI is changing the economics of work.
Tasks can be automated. Information can be analysed faster. Decisions can be supported by richer data. Teams can access capabilities that previously sat with specialists or required significant manual effort.
Yet the 2026 State of Agility in Procurement & Supply reveals a striking gap between technological capability and organisational readiness.
Seventy per cent of respondents believe their current operating model constrains the benefits that could be achieved from AI. Among respondents who have adopted AI, 73% report that adapting the operating model required to scale those benefits remains difficult or only partially implemented.
For senior leaders, this changes the nature of the transformation challenge.
AI strategy cannot be separated from organisational design.
The question is no longer simply whether the business has the right technology. It is whether people have the authority, incentives, information, skills and governance needed to use that technology differently.
Business agility is a leadership issue before it is a process issue
One of the strongest signals in the State of Agility research is how highly organisations now value adaptability.
Ninety-six per cent of respondents consider business agility strategically important in dealing with greater market uncertainty.
That result reflects a significant shift in the environment leaders are operating within.
Markets change quickly. Customer expectations move. Technology develops at a pace that makes long planning cycles increasingly fragile. Supply conditions shift. New risks emerge. Strategic assumptions can become outdated before traditional approval structures have completed their work.
In that context, agility is not simply a methodology or a programme run by a transformation team.
It is an organisational property.
And organisational properties are shaped by leadership choices.
The report shows why this matters. 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 root causes of slowdown are equally revealing: conflicting functional objectives, limited transparency between silos and changing requirements or constraints.
None of those problems can be solved by technology alone.
Conflicting objectives exist because leaders create or tolerate them. Limited transparency persists because structures, incentives and information flows allow it. Excessive approvals survive because authority remains concentrated. Functional silos become powerful because people are measured, rewarded and promoted within them.
The operating model therefore reflects leadership behaviour whether leaders intend it to or not.
This is where many transformations become trapped.
Executives ask teams to collaborate across functions while continuing to measure them functionally. They ask managers to move faster while retaining the same approval structure. They ask people to experiment while punishing failure. They invest in AI but leave decision rights unchanged. They talk about empowerment while escalating routine choices upwards.
The message received by the organisation is not the strategy statement.
It is the behaviour the system rewards.
That is why the State of Agility findings matter beyond procurement and supply. They describe a leadership problem hidden inside an operating-model problem.
AI exposes organisational design more quickly
The report does not suggest that AI investment is failing. Respondents already report tangible benefits.
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%.
These are useful gains. They also expose the limits of technology when leadership structures remain unchanged.
AI can provide an answer instantly, but the organisation can still take days to approve it.
Automation can remove manual work, but the process can still contain unnecessary controls.
A platform can give multiple functions access to the same information, but teams can still work towards different objectives.
Self-service can decentralise capability, but managers can still resist surrendering authority.
Technology accelerates whatever operating model it is placed inside.
If the model is coherent, that can create leverage.
If the model is fragmented, AI can simply expose the fragmentation faster.
The report shows that traditional divisional, functional and matrix structures still dominate, while genuinely adaptive and AI-enabled operating models remain comparatively rare.
That creates a leadership paradox.
Organisations are investing in technologies designed for adaptability while retaining management systems designed for control, predictability and functional optimisation.
The target state identified by respondents is notably different. High-performing operating models are described as data-driven and dynamically adjusted, supported by empowered cross-functional teams and AI-enabled platform capabilities. Respondents define the target most strongly through three characteristics: cross-functional and empowered teams; AI-enabled and data-driven decision-making; and agile, adaptive and simplified governance.
Every part of that description has a leadership implication.
Empowerment requires authority to move.
Cross-functional working requires objectives to align.
Data-driven decision-making requires leaders to tolerate evidence that challenges hierarchy or instinct.
Simplified governance requires somebody senior enough to remove controls rather than merely add new technology around them.
Adaptability requires teams to change course without waiting for the entire organisation to agree.
These are not software features.
They are design choices.
Decision rights are becoming a competitive capability
One of the most important findings in the research concerns the amount of organisational speed respondents believe is trapped in fragmentation.
When 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 productivity outcomes, but the leadership implication is substantial.
Organisations may be carrying significant amounts of hidden delay in their decision architecture.
Work waits for approval. Teams wait for clarity. Functions wait for one another. Managers escalate because authority is ambiguous. Senior executives become involved in decisions that could have been made closer to the work. Information travels upwards before authority travels downwards.
This is not merely an efficiency issue.
Decision latency affects competitiveness.
It affects how quickly organisations respond to customers, suppliers, risk, technology and changing market conditions.
The report’s most common bottlenecks reinforce this point. Requirement and scope definition is the largest reported source of delay, followed by governance and approvals and then finance approvals and budgeting.
Those delays tell leaders where to look.
Not every approval is unnecessary. Not every decision should be decentralised. Governance exists for good reasons: risk, accountability, investment discipline, compliance and control.
But effective leadership distinguishes between controls that manage real risk and controls that survive because nobody has challenged them.
The goal is not to remove governance for speed.
It is to design governance that permits speed where the risk allows it.
That requires clearer policy, clearer thresholds and clearer decision rights.
In many organisations, the next productivity gain may come not from asking people to work harder or from automating more tasks, but from reducing the number of moments at which capable people must stop and ask permission.
Culture is not the soft part of transformation
The barriers identified in the State of Agility research make the leadership challenge even clearer.
Organisational resistance to change ranks as the leading barrier to adopting a new operating model, 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 findings matter because culture is often treated as the softer side of transformation, something to address after strategy, technology and process design have been completed.
In reality, culture determines whether those things survive contact with the organisation.
Culture is what happens when people make decisions without a presentation telling them what to do.
It is whether a manager shares information or protects it.
It is whether teams raise risks early or hide them.
It is whether functions solve problems together or defend their own metrics.
It is whether people are trusted to exercise judgement within clear boundaries.
It is whether leaders respond to bad news with curiosity or blame.
AI makes those behaviours more important, not less.
As more routine activity is automated, human judgement becomes concentrated in the areas that are harder to standardise: ambiguity, trade-offs, ethics, relationships, negotiation, creativity and exceptions.
That means organisations need people who can operate with more judgement while leaders provide clearer principles and boundaries.
Trying to combine increasingly intelligent technology with increasingly centralised human decision-making risks creating the worst of both worlds: powerful tools feeding an organisation that still waits for permission.
Leadership must therefore move beyond sponsorship.
Executive sponsorship matters, and the report notes that insufficient executive support remains a barrier to scaling transformation. But sponsorship alone is passive.
Leadership design is active.
It means changing objectives, decision rights, governance, incentives, roles and behaviours so the transformation can become normal work rather than a programme running beside normal work.
The external ecosystem raises the leadership stakes
The report also shows that the operating-model challenge does not stop at the organisational boundary.
Ninety-three per cent of respondents believe reducing fragmentation with strategic customers and suppliers is important or very important.
That finding has a leadership dimension that extends well beyond procurement or supply chain.
Modern organisations depend on ecosystems. Innovation, technology, specialist capability, production, logistics and customer outcomes often depend on organisations that do not sit inside the same hierarchy.
Leadership therefore increasingly requires coordination without direct control.
That is a different skill from traditional command structures.
The research identifies innovation, go-to-market activity, R&D and sales and marketing among the areas where respondents see the greatest value from cross-company collaboration.
But transformation maturity remains overwhelmingly internal.
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 gap is revealing.
Most organisations are still learning how to work across their own internal boundaries before they have meaningfully redesigned how they work across external ones.
For leaders, the next stage therefore requires a broader definition of organisational design.
The operating model increasingly includes strategic partners, suppliers and customers.
That creates questions of trust, transparency and shared accountability.
Which information can be shared? Which objectives should be common? Where should strategic partners have earlier involvement? How should risk be distributed? How can commercial relationships allow adaptation without losing accountability?
The report highlights adaptive contracting, relational governance and outcome-based approaches as increasingly important where fixed requirements and static governance restrict adaptability.
Those mechanisms matter because leadership across an ecosystem cannot depend on hierarchy alone.
It depends on relationships, clarity and aligned incentives.
The leadership mandate is becoming an organisational-system mandate
The State of Agility research ultimately challenges a common assumption about transformation.
Transformation is often treated as something leaders sponsor and teams deliver.
The findings suggest that leaders themselves are part of the system that must change.
If objectives conflict, leadership must resolve them.
If decision-making is too slow, leadership must move authority.
If governance is excessive, leadership must simplify it.
If collaboration fails across functions, leadership must change the incentives and structures that reinforce separation.
If skills are missing, leadership must create capability.
If culture punishes experimentation, leadership must alter the consequences of behaviour.
If strategic suppliers are treated only as transactional vendors while the company expects co-innovation, leadership must reconcile the contradiction.
This is why AI transformation is becoming a leadership design problem.
The technology is forcing organisations to confront assumptions that were easier to tolerate when work moved more slowly.
The strongest organisations will not simply deploy AI more quickly. They will redesign themselves around what becomes possible once information, analysis and automation move faster.
That does not mean chasing permanent disruption or dismantling every hierarchy.
It means being deliberate about where hierarchy adds value and where it creates latency.
It means giving people authority proportionate to their responsibility.
It means aligning measures around outcomes rather than functional activity.
It means building trust through transparency and clear accountability rather than through constant escalation.
And it means recognising that transformation cannot scale when leaders ask the organisation to behave differently while preserving the systems that reward the old behaviour.
The benefits reported by organisations adopting new operating models show why this matters. Respondents cite improved decision-making, stronger business alignment, improved customer satisfaction, improved time to market and improvements in total cost of ownership.
These outcomes are not simply operational improvements.
They are signs of an organisation becoming easier to lead because more of the system is aligned.
Ledger Series Media saw the same themes emerge while supporting the State of Agility campaign. Direct engagement across senior leadership, technology, procurement, supply chain and transformation audiences repeatedly moved beyond AI itself towards governance, decision rights, silos, culture 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 challenge is not confined to one function. It concerns how leaders design organisations capable of turning technological possibility into coordinated action.
For Leadership Ledger, that is the central implication of the 2026 findings.
The next transformation will not be defined only by which organisations adopt AI first. The more important distinction may be which leadership teams are prepared to redesign authority, culture, governance and collaboration so that increasingly capable technology can translate into increasingly capable organisations.
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 senior leaders, that may be the defining challenge of the next phase.
AI can change how work is done.
Leadership determines whether the organisation can change with it.
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.
