ServiceNow Knowledge has always been the stage where enterprise technology takes its next big leap. But in its 14th edition, it redefined that leap, turning AI into a true engine of enterprise execution.
Held in Las Vegas from May 5–7, Knowledge 2026 brought together 25,000 attendees in person and millions more online; customers, partners, investors, analysts, and technology leaders, all united around one defining question: what happens when AI moves beyond recommendations and starts getting work done?
The answer unfolded across three landmark days. Several major announcements, a platform built for the agentic era, and a bold new vision for how work will be done in the years ahead.
Before we unpack the 10 biggest highlights, let’s start with what Bill McDermott had to say from the keynote stage.
Bill McDermott, Chairman and CEO of ServiceNow, took the stage with a message that was equal parts reality check and invitation, “The world is heading toward a shortage of 50 million workers by 2030.” At the same time, enterprises are pouring billions in AI, yet only 16% have successfully embedded AI workflows across business functions. The ambition is undeniable, yet the execution gap is impossible to ignore.
His diagnosis was sharp: AI chaos is the enemy. Fragmented tools, disconnected systems, and ungoverned agents are adding complexity where AI was meant to create clarity. In a world rushing to adopt AI, the enterprises that will win are not the ones deploying the most AI. They are the ones orchestrating it best.
That is the opportunity ServiceNow is positioning itself to own: one platform where AI, data, and workflows operate as a single system, with governance built in, not bolted on.
He closed with a message that pushed beyond technology and spoke directly to leadership, ambition, and what comes next, “Sixty years ago, a president said we’re going to the moon. Now it’s your turn. Build something the world doesn’t know it needs yet but once it has it, won’t know how it lived without.
Enterprise AI has had an execution problem. Most tools can generate insights, but employees still have to navigate systems and get the work done. At Knowledge 2026, ServiceNow introduced Otto, a unified AI experience designed to change that. Built by combining Now Assist, Moveworks, and AI Experience, Otto works across the enterprise, understanding intent, routing tasks to the right agents, and completing work across departments and systems from start to finish.
What makes Otto stand out is its ability to move beyond assistance into execution. Employees no longer need to know which platform, workflow, or team owns a request. They simply ask, and Otto handles the rest within enterprise guardrails powered by AI Control Tower.
Otto works across four core experience:
During the keynote demo, Otto generated a workforce readiness brief, identified staffing gaps, recommended seasonal hiring, blocked interview calendars, and initiated next steps, all within a single workflow. The message was clear: Otto is not designed to recommend work. It is designed to complete it.

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The era of AI pilots is over. At Knowledge 2026, ServiceNow expanded its Autonomous Workforce, introducing AI specialists across IT, CRM, employee services, and security, built to execute complete workflows alongside humans.
These specialists go beyond task-based automation. They work like digital teammates, resolving cases, managing incidents, handling service requests, and containing threats from intake to resolution.
Built on a shared foundation of CMDB, Workflow Data Fabric, Context Engine, and AI Control Tower, every specialist operates with enterprise context, built-in governance, and role-based control.
The impact is already measurable:
Early customer outcomes:
What ServiceNow showcased at Knowledge 2026 was not the future of AI assistance, but the rise of AI as an active workforce embedded across the enterprise.
Of all the announcements at K26, Action Fabric may be the one that changes enterprise AI architecture the most fundamentally.
ServiceNow Action Fabric opens its full system of action to any AI agent, whether built on ServiceNow, Claude, Copilot, or a customer’s own homegrown stack, through a generally available Model Context Protocol (MCP) Server. Every action inherits the same governance, audit trail, and approval chains already embedded in the platform.
This goes far beyond data access. With Action Fabric, AI agents can securely execute real work across the enterprise. A password reset that once required the ServiceNow interface can now be triggered directly through Anthropic Claude. An employee onboarding workflow can be initiated from any collaboration tool and still follow the same approvals, policies, and audit controls inside ServiceNow. As the first named design partner, Anthropic is helping bring Claude directly into ServiceNow’s governed system of action.
As Amit Zavery, President, CPO & COO, ServiceNow, put it, “Execution is where enterprises win or lose. Data alone doesn’t run a business. Action does.”
One of the most powerful moments at Knowledge 2026 came during a live cybersecurity demo.
A compromised AI agent, manipulated through a prompt injection attack, began ignoring instructions, making unauthorized pricing changes, and attempting to hide its actions. Within seconds, ServiceNow AI Control Tower detected the abnormal behavior, revoked the agent’s permissions, and shut it down in real time.
The demo highlighted a growing enterprise reality: 95% of organizations still cannot measure the value of their AI investments.
ServiceNow’s answer is AI Control Tower, a centralized command layer built to discover, observe, govern, secure, and measure every AI agent operating across the enterprise, regardless of where it was built.
Key Announcements at Knowledge 2026:
To quote Bill McDermott, “We are the rules and rails of business.”

If Day 1 defined the vision, Day 2 defined the architecture.
Amit Zavery introduced ServiceNow’s blueprint for agentic business, built around four core imperatives: Sense. Decide. Act. Secure.
At the center of his keynote was a problem he called the “patchwork enterprise”, organizations running hundreds of disconnected applications, each with its own data, models, workflows, and policies, but no unified orchestration layer.
The opportunity is massive, but the adoption gap is real:
ServiceNow’s answer is a unified platform where AI, data, workflows, and security operate as one system, not in silos.
In the words of Amit Zavery, President, Chief Product Officer, and Chief Operating Officer at ServiceNow, “Advisory AI has run its course. Enterprises need AI that senses, decides, and securely acts.”
More than a keynote framework, Sense, Decide, Act, Secure emerged as the operating model behind every major Knowledge 2026 announcement.
At Knowledge 2026, ServiceNow brought together its two biggest security acquisitions, Armis and Veza, under a single platform, marking the launch of Autonomous Security & Risk.
The timing matters. ServiceNow’s Security and Risk business crossed $1 billion in annual contract value, making it one of the fastest-growing parts of the platform.
Together, the two platforms solve two of enterprise security’s biggest blind spots:
Combined with ServiceNow’s Knowledge Graph, Context Engine, and AI Control Tower, enterprises now gain a real-time view of three critical questions: What exists, who has access, and what is acting.
As AI agents multiply across enterprise environments, so do non-human identities and machine-speed access decisions. Autonomous Security & Risk is ServiceNow’s answer to that new threat surface, bringing asset intelligence, identity governance, and automated remediation into one system.
When Jensen Huang, Founder and CEO of NVIDIA, joined Bill McDermott on stage at Knowledge 2026, it marked one of the event’s biggest infrastructure announcements.
The two companies introduced Project Arc, an autonomous desktop agent built for enterprise work. Powered by ServiceNow’s Action Fabric, secured by NVIDIA OpenShell, and governed through AI Control Tower, Project Arc is designed to execute complex, multi-step work directly from the desktop.
Every action runs inside a sandboxed runtime, with full visibility into files accessed, commands executed, APIs called, and policies enforced, bringing enterprise-grade governance to autonomous desktop agents.
The partnership also introduced NOWAI-Bench, an open benchmarking framework designed to evaluate enterprise AI agents across real-world workflows. What NVIDIA and ServiceNow showcased was bigger than AI productivity; it was a blueprint for deploying autonomous agents with enterprise-grade trust, control, and scale.
Most enterprise AI fails not because the models are wrong, but because the data feeding them is fragmented, ungoverned, and stale at exactly the moments AI needs to act.
ServiceNow launched the new Data Catalog, adding native metadata management and governance across the full data lifecycle, alongside Autonomous Data Governance, which continuously monitors the data estate and automatically flags quality violations in real time.
Context Engine sits at the center of it all, unifying decades of organizational knowledge into a single layer and feeding AI context at the exact moment of decision, what Gaurav Rewari, EVP of Data and Analytics at ServiceNow, called the “embedded, always-on AI analyst.”
Together, these capabilities form the operational backbone of the autonomous platform, turning AI agents from experimental tools into systems enterprises can trust to act.
At Knowledge 2026, ServiceNow expanded its CRM vision from customer engagement to full customer execution.
From the Day 1 keynote, ServiceNow introduced Autonomous CRM for Sales, Autonomous CRM for Service, and Configure, Price, Quote (CPQ), bringing the entire customer lifecycle, from quote to fulfillment, onto a single platform without manual handoffs.
The scale is already significant:
What ServiceNow demonstrated is bigger than CRM automation. It is the shift from managing customer interactions to autonomously executing customer operations, across sales, service, fulfillment, and support.
Every Knowledge conference ends with a look at what’s next for the platform. At Knowledge 2026, that moment belonged to the Australia release, ServiceNow’s first platform release under its new country-based naming convention.
But Australia was more than a product update. It was ServiceNow’s clearest platform blueprint for the agentic era.
During the keynote, Heath Ramsey, Group Vice President of AI Platform at ServiceNow, opened with two numbers that framed the challenge:
ServiceNow’s answer is built around four platform capabilities: Sense. Decide. Act. Secure. The Australia release introduced some of the most practical AI capabilities shown all week:
As Ramsey closed the session, the message was simple: “everything shown is live today.” More than a release, Australia marked the point where ServiceNow’s platform architecture fully aligned with its agentic vision.
Three days. Ten landmark announcements. One defining shift: the era of enterprise AI that advises but stops short of execution is over. At ServiceNow Knowledge 2026, the message was clear: enterprise AI is moving beyond experimentation and into governed execution. The Autonomous Workforce is live, Action Fabric is open, Otto is working, and the blueprint for the agentic enterprise is no longer theoretical; it is operational, measurable, and ready to scale.
As Bill McDermott described it, this is the rise of “the AI agent of agents”, a new operating model where intelligence doesn’t stop at recommendations but drives real outcomes across the enterprise.
For leaders leaving Las Vegas, the question is no longer if this transformation is coming, but whether they will lead it or spend the next two years catching up.
As a trusted ServiceNow partner with a team of 250+ experts, Aelum is helping enterprises accelerate the shift from pilots to production, from strategy to autonomous execution, and from AI ambition to measurable business impact. Talk to our ServiceNow experts and take your first step into the agentic era.
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