Like any new technology, AI agents need to grow up. Their value isn’t in sheer numbers but in maturity: scaling the use cases that work best. That maturity comes through experimentation across the organization, combined with the visibility and measurement needed to separate the winners from the rest. Without this discipline, unchecked agent proliferation quickly devolves into sprawl, draining resources and multiplying risk instead of driving ROI.
