What Otto Is: A Front Door for Governed Frontline AI
ServiceNow Otto is a conversational AI front door that connects frontline workers to governed enterprise AI services, turning natural-language intent into secure, policy-aware actions across systems, workflows, and data while extending existing AI governance, security, and monitoring capabilities beyond central IT to everyday execution in the enterprise. At Knowledge 2026, ServiceNow framed Otto as the experience layer that unifies Now Assist, Moveworks, and its prior AI Experience into one interface. Instead of employees guessing which portal, form, or department should own a request, they can describe the task in plain language or by voice. Otto then searches across documents, wikis, databases, and SharePoint, and can trigger workflow steps governed by AI Control Tower. ServiceNow presents Otto not as another chatbot but as a work-completion UI that connects frontline AI governance with daily tasks, tickets, approvals, and cross-system handoffs.
From AI Control Tower to Everyday Work
Behind Otto sits ServiceNow’s repositioning as an AI security and governance layer, rather than only a workflow platform. Knowledge 2026 featured the expansion of AI Control Tower from visibility to enforcement, covering discovery, observation, governance, security, and measurement of AI agents across clouds and business systems. This is the emerging AI control tower that ensures frontline interactions via Otto follow risk frameworks, least-privilege access, and organizational policies. Any action that Otto initiates is mediated by this governance stack, so an employee’s request to update records, access data, or trigger an approval is checked against identity, access, and workflow rules. ServiceNow’s Autonomous Security and Risk, powered by Armis and Veza, feeds asset and identity intelligence into this layer. That turns Otto’s conversational experience into a governed AI execution channel rather than an uncontrolled agentic AI deployment at the edge.
Agentic AI Deployment Proven on ServiceNow’s Own Operations
ServiceNow is pairing its governance story with proof that agentic AI deployment can deliver measurable outcomes inside a large enterprise. By running agentic AI on its own operations, the company shows how governed automation can compress cycle times. One cited example comes from Chief Digital Information Officer Kellie Romack, who described how sales commissioning queries that once took four days for finance to resolve are now handled in about eight seconds. That change was achieved by reimagining the process with AI plus security guardrails, not by bypassing governance. It illustrates how an AI control tower and workflow engine can guide autonomous agents while still satisfying risk and compliance teams. When combined with Otto, the lesson for enterprise leaders is clear: the same governed AI fabric that accelerates internal ServiceNow workflows can be exposed to frontline workers, so speed does not come at the cost of enterprise AI security.
Otto, Moveworks, and Now Assist: A Unified Frontline AI Governance Stack
Otto’s architecture reflects ServiceNow’s attempt to join conversational AI with governed execution. The Moveworks acquisition provides the conversational front door, allowing users to work from a single interface while searching and acting across systems such as CRM, HR, or IT. Now Assist operates behind the scenes as the agentic engine that calls workflows, drafts responses, and coordinates actions across the Now Platform and connected tools. Partners describe Otto as a UI for completing work rather than logging tickets. Early traction through EmployeeWorks, which uses Otto’s capabilities, includes multiple seven-figure annual contract value deals, which ServiceNow links to Otto’s focus on work completion. Because AI Control Tower supervises these interactions, frontline AI governance is built in: identity, access, and approval logic remain central, even as operators, service teams, and managers gain faster, conversational access to AI-driven enterprise workflows.
Action Fabric and the Next Phase of Frontline AI Governance
To sustain governed AI execution at scale, ServiceNow is widening its Action Fabric, now generally available with a Model Context Protocol Server. Action Fabric turns the Now Platform into a system of action for external agents built on tools such as Claude, Copilot, or customer-developed stacks, while still routing everything through the same governance, risk, and workflow rules. For frontline workers, that means Otto can eventually orchestrate not only native Now Assist agents, but also third-party or custom agents, without losing enterprise AI security controls. AI Control Tower monitors and governs these agents, while Autonomous Security and Risk keeps visibility over assets and identities. The result is an emerging operating model where an AI control tower coordinates agentic AI deployment, and Otto translates frontline intent into governed actions, closing the long-standing gap between central AI governance strategies and what workers can use in their daily tools.