As businesses rapidly adopt AI tools, automation platforms, and SaaS applications, IT teams across SMBs and midmarket companies are facing growing operational pressure around governance, visibility, and control.
Organizations are no longer evaluating software only on productivity gains. Many IT leaders are now questioning whether their existing systems can effectively manage the increasing complexity created by AI copilots, automation agents, browser-based assistants, and expanding SaaS ecosystems.
Industry experts say governance has become a bigger concern than budget constraints. Joel Rennich, SVP of Product Management at JumpCloud, said: “Midmarket IT teams in 2026 are increasingly intentional about consolidating their SaaS stacks, transitioning from a ‘growth-at-all-costs’ mentality to a model defined by unification, automation, and control.”
He added: “The data shows that governance, not just budget, is now the primary constraint on expansion.”
According to the shared data, organizations with strong governance frameworks are 3x more likely to scale efficiently. However, many companies still struggle with limited visibility into AI-driven workflows and non-human identities operating across systems.
The report highlights that 59% of organizations currently lack centralized visibility into agent activity, while 55% do not have a centralized way to instantly revoke access. In addition, 53% of organizations now manage more non-human identities than human employees, yet 63% still lack complete IAM coverage for these agents.
Experts believe this creates a major operational challenge for lean IT teams already balancing security, compliance, support, and infrastructure management.
Another growing concern is the disconnect between leadership and IT teams. Rennich said: “We are seeing a clear disconnect where 68% of CIOs believe their agents are fully integrated into formal policies, while only 35% of the IT managers on the ground agree.”
As AI adoption continues to grow, many organizations are now introducing stronger operational guardrails, including centralized directories and assigning human ownership to every AI agent or automated system operating within their environment.
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