Forrester Procurement AI Readiness: Closing the 38-Point Gap

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69% of Leaders Are Confident in Their AI Vision. Only 31% Trust Their Teams to Deliver It. Here’s How to Close the Gap.

Based on insights from the Forrester Opportunity Snapshot: “Don’t Delegate AI,” commissioned by Zycus, February 2026 | Survey of 261 procurement leaders (director-plus)

In the first two parts of this series, we established two foundational principles for scaling agentic AI in procurement. First, CPOs must personally own the AI strategy rather than defer it to IT. Second, autonomy must be calibrated by domain — with high autonomy for transactional work, procurement-defined rules for the gray zone, and human stewardship for strategic decisions.

But there is a third, more uncomfortable finding in the Forrester data that underpins both of those arguments: most procurement organizations lack the executional capacity to deliver on the AI vision their leaders have set. The numbers are stark. Sixty-nine percent of procurement leaders express confidence in their AI vision. Only 31% are confident in their people and skills to execute it. That 38-point chasm is not merely a training deficit. It is a systemic readiness failure that, left unaddressed, turns strategic intent into delegation by default.

The Anatomy of the Readiness Gap

The Forrester study does not present a single readiness problem. It reveals a layered one. Beyond the 31% confidence in people and skills, only 36% feel prepared to retrain AI models as requirements evolve, and just 41% express readiness to operationalize AI across workflows. These three dimensions — talent, model governance, and workflow integration — form the execution stack beneath every AI strategy. When any one falters, the entire stack buckles.

This is why the Forrester researchers describe the situation as “vision without execution capability becomes delegation by default.” A CPO may hold the mandate to lead AI strategy, but if the procurement team cannot configure agents, interpret model outputs, or adjust autonomy thresholds as conditions change, the practical decisions migrate to whoever can — usually IT, vendors, or the system’s own defaults. The CPO retains the title of strategy owner but loses operational control.

Governance Foundations Are Maturing — But They’re Not Enough

It would be unfair to say organizations have done nothing. The Forrester data shows real progress on governance foundations: 74% have established auditability of agent actions, 65% have clear decision rights, 64% use risk-based human-in-the-loop checkpoints, and 64% have implemented Zero Trust access controls. These are mature safeguards for accountability, privacy, and security.

But governance infrastructure and executional readiness are different things. Guardrails define what the system should not do. Execution capability determines what the organization can do. You can have perfectly designed audit trails and escalation protocols, but if the procurement team cannot interpret AI-flagged anomalies, retrain a model when it drifts, or reconfigure an agent’s parameters when business rules change, those guardrails become passive observers rather than active controls.

This distinction matters enormously when choosing technology partners. Platforms that require deep technical expertise for every configuration change widen the readiness gap. Platforms that lower the barrier to procurement-led governance narrow it. Zycus’s Merlin Agentic AI Platform is designed with this reality in mind: a low-code orchestration environment with over 1,100 APIs that lets procurement admins — not IT specialists — configure intelligent agents, define autonomous workflows, and adjust guardrails as business needs evolve.

The CPO Involvement Paradox

One of the study’s most telling findings sits in the governance detail. CPO involvement is lowest in precisely the decisions that carry the most consequence. Only 53% of CPOs are actively involved in designing human-in-the-loop protocols, and just 46% participate in setting autonomous spend thresholds. These decisions determine when AI acts independently and when a human intervenes — the operational expression of every strategic principle the CPO has endorsed.

This paradox — high confidence in vision, low involvement in governance mechanics — is the readiness gap made visible. It explains why the gap persists despite genuine strategic commitment. CPOs are setting the direction but not staying close enough to implementation to ensure their intent is faithfully encoded into the systems making daily decisions.

Tools that bring governance closer to procurement leadership help close this gap structurally. Zycus’s AI-powered Spend Analysis provides CPOs with real-time visibility into how AI classifies spend, flags anomalies, and predicts trends — making model behavior transparent rather than opaque. Similarly, Agentic AI for Supplier Management consolidates risk signals, performance metrics, and compliance data into a single control tower that procurement leaders can interpret and act on without relying on IT to translate the data.

Closing the Gap: Culture, Capability, and Platform Choice

The Forrester study points to three levers for closing the readiness gap, and none of them are purely technological.

First, invest in AI literacy and change management. Sixty-two percent of procurement leaders have launched AI awareness programs, 56% are aligning with IT and business units on shared goals, and 50% are leading executive communication initiatives. As one CPO from a German manufacturing firm noted in the study, the internal challenge is getting people to actually use AI — it requires a fundamentally different way of working. Leaders who invest in internal champions, role clarity, and hands-on training will see faster adoption and less resistance.

Second, treat model governance as a procurement responsibility, not a technical one. Only 36% of leaders feel ready to retrain AI models. This is partly a skills issue but also a platform issue. If retraining or reconfiguring an agent requires data science expertise, procurement will always be dependent on IT. Zycus’s Procurement Analytics agents address this by replacing complex dashboards with conversational intelligence — procurement professionals can ask questions in plain language and receive deep, real-time insights connecting spend, supplier, contract, and risk data across the lifecycle.

Third, choose platforms that reduce the technical barrier to governed autonomy. The readiness gap is widest not in strategy but in execution infrastructure. Zycus’s integrated Source-to-Pay suite functions as a single source of truth across the procurement lifecycle — from spend analysis through sourcing, contracts, supplier management, and payment. This means governance rules, autonomy thresholds, and escalation paths are defined once and enforced consistently, rather than stitched together across disconnected point solutions.

For contract governance specifically, Zycus’s Merlin for Contracts automates metadata extraction, surfaces compliance gaps, and identifies risk at each contract stage — giving procurement teams the capacity to govern contracts at scale without requiring deep legal or technical expertise.

Vision Is the Easy Part

The 38-point readiness gap is not a statistic to explain away. It is the central bottleneck that determines whether procurement’s AI ambitions translate into outcomes or remain boardroom aspirations. Governance foundations are in place. Strategic intent is clear. What is missing is the executional muscle — the skills, the model governance capability, and the platforms — that turn intent into operational reality.

As we explored in the earlier parts of this series, CPOs who own the AI strategy and calibrate autonomy by domain have already cleared the strategic hurdles. The readiness gap is the final and most consequential one. Leaders who close it — by investing in their people, choosing platforms that empower procurement-led governance, and treating AI execution as a leadership discipline — will capture the value that agentic AI promises. Those who do not will find that their vision simply becomes someone else’s implementation.

Source: Forrester Opportunity Snapshot, “Don’t Delegate AI: Why Procurement Leaders Must Personally Shape, Not Surrender, AI-Driven Decisions,” a custom study commissioned by Zycus, February 2026. Based on a survey of 261 procurement leaders (director-plus) across the US, Europe, and Asia Pacific.

Read the Series:

Part 1: Why CPOs Must Own the AI Strategy — Not Delegate It to IT
Part 2: Agentic AI in Procurement: Where Autonomy Works and Where It Doesn’t

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