What Otto Is: A Single Front Door for Governed AI Work
ServiceNow Otto is a conversational AI front door that turns natural-language intent from frontline workers into governed AI execution across enterprise workflows, data sources, and systems, while keeping every action aligned to organizational policies and approval chains. Otto unifies Now Assist, Moveworks, and ServiceNow’s AI Experience into one interface that feels like a chat window but functions as a work engine, not a simple bot. Workers can describe a need in their own words, search knowledge bases, query enterprise data, and trigger actions from one place instead of learning multiple portals or ticket types. ServiceNow positions the Moveworks layer as the conversational front end and Now Assist as the execution layer feeding those agents. For operational teams still buried in tickets and emails, Otto is designed to be the starting point for agentic AI frontline experiences that connect directly to back-end workflow automation.
Proving Agentic AI on ServiceNow’s Own Operations
ServiceNow is backing its Otto story with a concrete example of agentic AI frontline impact from its internal operations. The company reworked its sales commissioning process, where employees previously submitted queries to finance and waited days for answers. According to ServiceNow’s Chief Digital Information Officer Kellie Romack, “Sales employees used to submit queries to a finance team and wait an average of four days for resolution. The redesigned process, built with AI and security guardrails, resolves the same query in eight seconds.” That outcome shows governed AI execution can collapse cycle times without bypassing controls. It also signals that ServiceNow is willing to apply agentic AI to core financial workflows, not just low-risk tasks. For CX and IT leaders, this case gives the ServiceNow Otto agent credibility as more than marketing; it shows agent-driven workflows can operate at scale with measurable ROI and auditable guardrails.
AI Control Tower and Autonomous Security: The Governance Spine
Behind Otto’s conversational layer sits ServiceNow’s push into enterprise AI governance with AI Control Tower and Autonomous Security and Risk. AI Control Tower moves from simple visibility to active enforcement across five dimensions: discover, observe, govern, secure, and measure AI activity across systems such as AWS, Google Cloud, Microsoft Azure, SAP, Oracle, and Workday. Traceloop technology monitors agent behavior at runtime, while added risk frameworks align governance to standards like NIST and the EU AI Act. Veza helps enforce least-privilege access so agents only do what they are allowed to do. Autonomous Security and Risk links Armis’ continuous asset intelligence with Veza’s access graph to produce “a single graph that maps every identity, every permission, and every connected asset, so prevention, detection, and response happen at machine speed.” This governance spine is what allows frontline worker automation to stay safe, observable, and compliant.
Bringing AI Governance to Frontline Workers and Partners
ServiceNow’s next move is to extend this governance spine directly to frontline workers, operators, and partners. Otto is presented as the governed interface for everyday execution: operators raise requests, managers approve work, and AI agents act across systems while AI Control Tower records and governs each step. EmployeeWorks is an early example of this approach, using Otto’s conversational capabilities to close six deals above USD 1 million (approx. RM4,600,000) in net new annual contract value in its first month, a result ServiceNow links to Otto’s ability to complete work rather than only answer questions. For partners, Otto changes implementations from portal-building projects to AI experience design: Moveworks keeps users in one place while Now Assist and Action Fabric connect to external agents such as Claude or Copilot. The result is an agentic AI frontline model where operational teams, not only IT, shape and own governed AI execution.