ServiceNow Pushes AI from Assistant to Operator

ServiceNow used its Knowledge 2026 conference to make a pretty direct case for where it thinks enterprise AI is headed. The company does not want AI sitting off to the side as a helpful assistant waiting to be called upon. 

It wants AI agents inside the systems where work actually happens, with enough governance to prevent enterprises from accidentally creating a very expensive, very confident mess.

ServiceNow expands its autonomous AI platform

ServiceNow rolled out a long list of updates across its platform, including expanded Autonomous Workforce, changes to AI Control Tower, Otto, Action Fabric, and new security and identity features.

It all points in the same direction; the company wants its platform to be where AI shows up, gets managed, and actually gets work done without things going bonkers. That is a bit of a bigger job than adding another chatbot to the corner of an app.

“Advisory AI has run its course,” said Amit Zavery, ServiceNow’s president and chief product officer, according to Fortune. “Enterprises need AI that senses, decides, and securely acts.”

Governed AI ‘specialists’ tailored to workflows across the enterprise

The expanded Autonomous Workforce includes AI “specialists” designed to complete business processes across IT, HR, finance, legal, procurement, security, risk, CRM, and employee experience. 

To be clear, these are no ordinary task bots – ServiceNow says they are role-scoped, governed, embedded in enterprise workflows, and built with audit trails.

The company’s own examples are… aggressive. Fortune reported that ServiceNow’s internal AI specialist resolved IT service desk cases 99% faster than human agents, while Docusign is targeting autonomous resolution of 90% of IT tickets. 

Honeywell said its AI assistant eliminated the majority of service desk conversations, and the city of Raleigh reported a 98% deflection rate on employee requests.

ServiceNow is also opening its system of action to external AI agents through Action Fabric and its generally available MCP Server. That means agents built with Claude, Copilot, or a customer’s own tools can take governed action through ServiceNow.

AI Control Tower adds governance and oversight

The idea is AI that can actually do the work. The question is who’s keeping track of it once it does.

ServiceNow is trying to answer that with AI Control Tower. It’s meant to give teams a clear view into what AI is running across the environment, what those agents are doing, and who or what has access. It also splices in compliance controls and tracks usage and spend so things don’t get weird and messy.

Bill McDermott, ServiceNow chairman and CEO, made the company’s ambition clear in the press release.

“Knowledge 2026 is where the world comes to witness the next frontier of innovation: the Autonomous Platform where AI thinks and workflows act,” McDermott said. “This is the moment ServiceNow moves beyond the platform of platforms to become the AI agent of agents — connecting any model, any cloud, and any data source. We’ve built the only platform that can sense across the enterprise, decide the right action, act across any workflow or application, and secure every step. We are the rules and rails of business.”

ServiceNow Otto brings it all together

ServiceNow Otto adds the user-facing component, combining conversational AI, autonomous workflows, and enterprise search into a single experience. Basically, employees ask for something once, and ServiceNow wants Otto to complete the work across the systems involved.

For the teams helping customers deploy, manage, and clean up enterprise systems, this is where the work gets down to it. AI agents may be the bright, shiny object at the moment, but governance, identity, workflow design, adoption, and integration will determine whether this becomes useful beyond the keynote stage.

ServiceNow has already been moving in this direction, working to embed AI directly into everyday workflows so tasks don’t feel so manual. At the same time, it’s been building orchestration tools to keep those agents aligned and working together rather than in silos.