As we navigate the landscape of March 2026, the promise of Agentic AI within the ServiceNow ecosystem has shifted from "future hype" to "operational necessity." With the recent enhancements in the Xanadu and Washington releases, IT Operations Management (ITOM) has evolved into a powerhouse of autonomous decision-making. However, I have witnessed firsthand how even the most sophisticated enterprises stumble when bridging the gap between legacy infrastructure and modern AI ag

In my years navigating the complex ecosystem of enterprise digital transformation, I have witnessed firsthand the widening chasm between organizations that merely "install" ServiceNow and those that truly "harness" it. As we move through 2026, the stakes have never been higher. With the introduction of the Xanadu and Washington DC releases, the platform has evolved from a system of record into an AI-driven engine of operational excellence. However, even the most advanced tool

EU ESG reporting is rapidly moving from “nice slide in the annual report” to “board-level evidence trail.” And I have witnessed firsthand how teams try to meet that demand with disconnected tooling: a half-trusted CMDB, a spreadsheet-based asset list, and a set of sustainability numbers that nobody can explain under scrutiny. This guide will walk you through the seven most common (and costly) mistakes I see with ITOM + ESG readiness: and the fixes that turn ServiceNow into a

I have witnessed firsthand how organizations invest millions in ServiceNow ITOM implementations with agentic AI capabilities, only to capture a mere 10-15% of their potential value. Meanwhile, best-in-class deployments achieve 40% cost reduction and transform operational excellence. The difference? Avoiding seven critical mistakes that silently drain ROI. After conducting hundreds of ServiceNow consulting services engagements across enterprise environments, I can tell you tha