The Veracity IT team is on site at the Venetian in Las Vegas for Knowledge 26, ServiceNow’s annual flagship conference. This year’s theme, “Put AI to Work: The Agentic Era,” has shaped nearly every keynote, breakout session, and customer conversation so far.
Through the first two days, three themes have stood out: AI governance, autonomous workflows, and ServiceNow’s expanding ambitions in CRM and enterprise operations.
The AI Control Tower Moves From Visibility to Enforcement
The biggest announcement from Day 1 was the expansion of AI Control Tower as part of ServiceNow’s new Australia platform release. Last year, Control Tower focused primarily on governance and visibility. This year, ServiceNow positioned it as an active enforcement layer for enterprise AI environments. That distinction matters. Most organizations are already dealing with AI sprawl across departments, cloud providers, and vendors. Teams are deploying agents in AWS, Azure, and Google Cloud while experimenting with Copilot and custom models at the same time. Governance becomes difficult quickly when every environment operates independently.
According to ServiceNow, the updated Control Tower can now discover, monitor, and disable rogue AI agents across major cloud platforms, not just within the ServiceNow ecosystem. During the keynote, the company demonstrated a live prompt injection attack and showed the platform shutting down the compromised agent in real time. Nenshad Bardoliwalla, Group VP of AI Products at ServiceNow, described the shift as moving “from visibility and management into a full enterprise AI command center.”
ServiceNow also announced that AI Control Tower capabilities will now be included across all platform products and packages rather than sold separately. For many organizations, that packaging decision may be as important as the technical capabilities themselves.
Additional announcements included:
30 new integrations spanning AWS, Microsoft Azure, Google Cloud, SAP, Oracle, and Workday
Expanded governance support for Microsoft Copilot Studio and Azure Foundry
Real-time enforcement controls across third-party AI environments
Now Assist Expands Beyond Productivity
Last year, Now Assist largely centered on productivity features such as summarization and drafting assistance. At Knowledge 26, ServiceNow shifted the conversation toward autonomous execution. The company introduced a broader Autonomous Workforce strategy built around AI specialists designed to complete workflows with limited human involvement. These agents are embedded into specific operational functions rather than positioned as general-purpose chatbots.
The headline announcement for IT teams was the Level 1 IT Service Desk AI Specialist, now generally available. The agent is designed to handle repetitive requests such as password resets, access provisioning, and software installations. ServiceNow reported that its internal deployment reduced targeted resolution times by 99%. The company also highlighted customer examples where AI agents eliminated a substantial portion of traditional service desk interactions.
The expansion goes beyond IT. New AI specialists now support:
|
HR |
Workplace services |
Legal operations |
Procurement |
Finance |
Supplier management |
Health and safety |
According to ServiceNow, these agents resolve 91% of employee service cases without reassignment across its customer base.
The company also introduced Otto, a unified AI experience layer that combines Now Assist, Moveworks, and a centralized conversational interface. Rather than forcing employees to navigate multiple AI tools, ServiceNow is aiming to create a more consistent experience across the platform. That may prove important as organizations move from AI experimentation to enterprise-wide adoption. Consistency and trust are becoming operational concerns, not just user experience considerations.
ServiceNow’s CRM Strategy Is Becoming Central
ServiceNow’s CRM expansion was already underway before Knowledge 26, but the tone at this year’s conference made it clear the company sees CRM as a major growth area. The company’s argument is straightforward: traditional CRM platforms record customer interactions, but they often fail to resolve the underlying issue without multiple handoffs between systems and teams.
ServiceNow is positioning its CRM platform differently, with AI specialists designed to connect customer interactions directly to fulfillment workflows. The newly announced CRM AI Specialists are intended to manage processes such as Quote generation, Order acceleration, Billing dispute resolution, and Customer service fulfillment. Rather than routing requests between departments, the objective is to resolve them inside a governed workflow environment. Terence Chesire, Group VP for CRM & Industry Workflows at ServiceNow, framed the strategy simply: “Legacy CRMs track. Our CRM resolves.”
The scale behind the messaging gives the strategy credibility. ServiceNow stated that its CRM platform already handles more than 100 million customer cases per month and configures more than 7 million quotes monthly. For organizations already using ServiceNow across IT or employee workflows, the broader CRM push is becoming more difficult to ignore. The company is increasingly presenting workflow automation, AI governance, and CRM as parts of a single operational platform.
What We’re Watching Heading Into Day 3
Knowledge 26 continues through May 7, with additional technical sessions, partner announcements, and hands-on labs still ahead. A few areas remain high on our watch list.
Autonomous Security and Risk
ServiceNow introduced an expanded security strategy integrating capabilities from Armis and Veza. The combination of asset visibility, identity governance, and workflow automation could become meaningful for organizations trying to simplify fragmented security operations.
Action Fabric and MCP
Another notable announcement was Action Fabric, an open framework that allows third-party AI agents to execute governed work through the ServiceNow platform using Model Context Protocol (MCP).
Every action routes through AI Control Tower with identity validation, permission controls, and audit logging attached. For organizations building custom AI ecosystems, this may become an important architectural layer.
The Long-Term AI Revenue Bet
During the keynote, Bill McDermott reiterated ServiceNow’s goal of reaching $30 billion in subscription revenue by 2030, with AI representing more than 30% of annual contract value.
Based on the first two days of announcements, that growth strategy appears tightly tied to AI governance and autonomous workflows.
Final Thoughts
The most significant shift at Knowledge 26 is not the volume of AI announcements. Every major enterprise platform is making similar claims right now. What separates ServiceNow’s message is the focus on operational control and execution. The company is positioning itself as both the governance layer for enterprise AI and the workflow engine where autonomous agents actually perform work.
Whether that approach succeeds will depend on adoption, interoperability, and trust. But after two days in Las Vegas, it is clear ServiceNow is no longer presenting AI as a productivity feature. It is positioning AI as core operational infrastructure.
We’re looking forward to continuing these conversations with clients throughout the week, particularly around maximizing the value of AI Control Tower and helping organizations map their ServiceNow roadmaps across SPM and CRM. As the platform continues to expand, the challenge is no longer deciding whether to adopt AI, but how to govern it, operationalize it, and connect it to measurable business outcomes.