ModelOp CEO Dave Trier was featured in Reworked's examination of a question enterprises have not settled: when an AI agent spans HR, finance, security, and customer systems, who actually owns it?
The piece finds three vendor categories each claiming the job — HR platforms treating agents like employees, security vendors treating them as infrastructure risk, ITSM vendors treating them as a systems problem — and no consensus among them. But as Dave notes, the ownership debate assumes something most organizations can't take for granted: that they know the agent exists at all.
"Most companies are stuck choosing between the Wild West, where anyone can spin up an agent and the enterprise has zero visibility and control, or approval processes so slow that innovation goes underground anyway."
— Dave Trier, CEO, ModelOp
He also pushes back on the popular idea that agents should be formalized only once other teams depend on them. Waiting for dependency to force the issue, he told Reworked, "usually means you find out about the agent after something's already gone wrong" — and the damage is rarely visible right away. Access nobody intended tends to surface "as a record changed somewhere it shouldn't have been, two quarters later."
The alternative he argues for is industrialized AI delivery: a formal, automated lifecycle covering discovery, risk tiering, testing, and change management.
