ServiceNow pushes AI control, reshaping enterprise software expectations

ServiceNow used its Knowledge 2026 stage in Las Vegas to redraw the enterprise AI conversation around control. The company said it was expanding its Autonomous Workforce with new AI specialists for IT, customer relationship management, employee service teams, and security and risk, while Bill McDermott told 25,000 attendees that the world will face a shortage of 50 million workers by 2030. His message was blunt: enterprises are moving from “AI chaos to control.”

That framing matters well beyond ServiceNow. The pitch is no longer just that AI can save time, but that it must be governed like any other core system. ServiceNow has been pushing that idea since 2025, when it launched AI Control Tower as a centralized command center to govern, manage, secure, and realize value from AI agents, models, and workflows. The company is now extending that logic into business functions where mistakes are costly, especially support, employee service, and security operations.

For monday.com teams, the shift is a useful map of where the market is headed. Buyers are not only asking whether a platform can automate a task. They want to know whether it can coordinate people and agents across an entire process, enforce permissions, keep an audit trail, and handle exceptions without breaking compliance. That changes the work for product managers, who have to think in terms of governance as much as workflow design. It changes engineering, which now has to support identity, observability, and secure handoffs between systems. It also changes sales, where the proof point is no longer just ease of use, but whether the platform can stand up inside a larger enterprise control framework.

monday.com has been moving in that direction too. The company says more than 250,000 customers worldwide use its platform, and it describes itself as an AI work platform where AI “doesn’t just assist, it executes.” On March 11, 2026, monday.com said external AI agents can sign up, authenticate, and operate directly within the platform under the same governance, security, and permissions standards as human users. In February, it brought together more than 500 professionals from more than 40 countries at its Partner Summit, another signal that the company is leaning into an ecosystem built for larger enterprise deployments.

The commercial mix supports that strategy. monday.com said fourth-quarter 2025 revenue reached $333.9 million, up 25% year over year, and customers with more than $50,000 in ARR accounted for 41% of total ARR. That is the segment most likely to care about control planes, not just clever demos. ServiceNow’s message in Las Vegas makes the implication clear: if AI is going to do real work, enterprise software has to prove it can govern the work, not just generate it.