Procurement Governance and Compliance in the Age of AI: JAGGAER CEO Andrew Roszko in Procurement Magazine

Procurement governance and compliance is the framework of policies, controls, and oversight that shapes how organizations buy, manage suppliers, and manage risk. As AI takes on a growing share of procurement decisions, getting that framework right from day one is critical.

Procurement Magazine’s August 2026 issue features JAGGAER CEO Andrew Roszko. His answer to enterprise AI’s biggest open question is direct: capability does not mean an organization is ready to use it responsibly. Enterprise AI is converging fast around technology, risk and supply strategy, and becoming embedded in core decision-making. That shift demands more trust, transparency, accountability and resilience than most organizations currently have. Roszko’s stance cuts against the usual framing: governance is not a brake on innovation, it’s a discipline. Built into AI from day one, governance is what lets organizations scale safely instead of slowing them down. Read the full feature in Procurement Magazine’s August 2026 issue.

What Good Procurement Governance and Compliance Looks Like in Practice

These are the five checks every organization should run before deploying AI in procurement and the governance standards each one demands.

The JAGGAER Procurement Governance Framework: Five Pillars

AI Readiness vs. AI Capability in Procurement

Buying powerful AI is not the same as being ready to use it. That’s the blind spot Roszko sees most often in enterprise procurement. Leaders get impressed by benchmark numbers, polished demos, and what the software claims it can do. Few stop to ask if their organization can actually operationalize it. The technology is often ready before the organization is.

What determines real deployment success isn’t the AI itself but the groundwork underneath: data quality, change management, process standardisation, and governance. If your organization skips these, even the most capable AI delivers unreliable results. This matters most in procurement, where AI now shapes decisions on spend, suppliers, risk, and commercial terms. Capability gets you a demo, but AI readiness gets you results that hold up in production.

Why Procurement Governance Must be Built in, Not Bolted on

Good governance gives organizations the confidence to scale AI. As AI takes on more procurement decisions, trust, transparency, accountability, and resilience are not optional anymore. Andrew states that governance is an enabler, not a barrier and compliance introduced after AI is already deployed always feels like catch-up. Treating governance as a final checkpoint only slows innovation down. Instead, governance needs to be built into the architecture itself, from the start. That’s what allows organizations to scale AI safely without scaling the risks along with it. Innovation and compliance shouldn’t be treated as two separate processes. When governance is built in from the start, organizations don’t have to choose between moving fast and maintaining control. They can achieve both.

Agentic AI in Procurement: Guardrails from Day One

Governance works best when it’s engineered in from day one and paired with human judgment. Roszko’s preferred model is co-development. It means guardrails should belong in the product from the ground up instead of being added after deployment.

In practice, that means accounting for security, data protection, oversight, and accountability at the design stage. It also means identity controls, secure development practices, protection of sensitive data, and continuous monitoring. It shapes how AI is designed, deployed, and monitored across the business. Even with strong governance, human judgment stays central, especially in regulated environments. AI can support and scale decisions, but people still own the calls where context, risk, and accountability matter most. This isn’t a trade-off between speed and assurance. Embedded governance, paired with human oversight, delivers both. As Roszko puts it: “We build the governance with you.”

From AI Experimentation to Scalable, Governed Procurement

As AI moves from pilot projects into real procurement workflows, the focus shifts to adopting AI responsibly. Roszko’s argument holds the answer that capability alone isn’t enough. Organisations need readiness, governance, security, accountability, and human oversight built in from the start instead of adding these layers later. That’s the opportunity in front of procurement now. AI can take on more complex, higher-volume work while governance and human judgment stay embedded where they matter most.

This is the space JAGGAER operates in. The next step is seeing how this works inside JAGGAER’s Source-to-Pay platform.