Enterprise Leaders Prioritize AI Platforms and People

Brian Solis, Head of Global Innovation at ServiceNow, published an op-ed on TheFutureEconomy.ca (also cross-posted to his personal site) arguing that enterprises investing heavily in individual AI copilots and models are mostly seeing compartmentalized productivity gains rather than operating-model transformation. Solis writes that organizations increasingly deploy separate agents for customer service, procurement, HR, and IT support, none of which share context, enforce consistent policy, or produce a coherent audit trail, a pattern he terms "agent sprawl." He poses the framing question: "Are we building the organizational architecture that allows AI to act with confidence, at scale, within the governance structures our business requires, and in genuine partnership with people?"

The argument is a single-author opinion column from a ServiceNow executive, not independently reported or peer-reviewed, and its prescription (a unified platform connecting intelligence, workflows, and governance) describes the product category ServiceNow itself sells. That does not make the underlying observation wrong, fragmented point-solution AI deployments are a widely discussed failure mode in enterprise AI adoption, but readers should treat the specific framing and terminology as one vendor executive's perspective rather than a neutral industry finding.

Independent of the source's incentives, the described failure mode maps to concrete engineering gaps worth auditing internally: whether agents across departments share a common inventory and identity model, whether policy enforcement happens at the point of action rather than through after-the-fact human review, and whether telemetry from disparate agents rolls up into a single audit trail. Teams evaluating multiple department-level copilots or agents can use Solis's three questions, does the architecture connect intelligence to execution, is governance enforced at the point of action, and is intelligence compounding over time, as a lightweight internal checklist, regardless of which vendor's platform they ultimately choose.

Whether other analysts or independent research (Gartner, Forrester, IDC) publish data quantifying "agent sprawl" as a measurable phenomenon, rather than a named pattern from a single vendor perspective, will determine whether this becomes an industry-standard framing or stays a ServiceNow talking point.