Everyone seems to be launching AI agents.
The bigger question is whether those agents are creating business value—or simply creating a new layer of complexity.
As procurement organizations move from AI experimentation to deployment, many are discovering a new challenge: shadow-agent debt. Useful AI agents are popping up across source-to-pay processes, but without clear ownership, governance, measurement, or accountability.
Our latest research explores why the next phase of procurement AI success won't be determined by how many agents an organization deploys.
It will be determined by how effectively those agents are orchestrated within governed workflows that deliver measurable business outcomes.
A few findings that stood out to me:
• 65% of procurement leaders prefer orchestrated agentic workflows over point agents.
• Yet only 24% of organizations have defined specific KPIs for agentic AI use cases.
• Just 41% have a common platform for governance, monitoring, documentation and business controls.
The takeaway? The future isn't about deploying more AI agents.
It's about ensuring every agent has clear ownership, a defined scope, measurable value, auditability, and built-in governance from the start.
Organizations that focus on governed outcomes rather than isolated automation will be far better positioned to translate AI investments into procurement performance.
Great work by the The Hackett Group® Solution Intelligence Team.
What are you seeing in your organization? Are AI agents being deployed as isolated tools, or are they becoming part of a broader governance and operating model discussion?
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The Hackett Group Inc.