ServiceNow Releases New AI Agents Across CRM, HR, IT, More For Faster, Smarter Workflows
Yokohama platform release includes teams of preconfigured AI agents now available for faster deployment, improved productivity, and predictable outcomes.
(Source: Freepik)
As businesses race to unlock the full potential of agentic AI, there is a growing need for a coordinated, enterprise-wide approach to AI deployment and management. To enable faster, smarter workflows and maximum business impact, AI company ServiceNow has released the Yokohama platform, with new AI agents across CRM, HR, IT, and more.
These latest innovations include teams of preconfigured AI agents on a single platform, as well as capabilities to build, onboard, and manage the entire AI agent lifecycle. Because data fuels AI, the company also announced expansion of its Knowledge Graph with advancements to its Common Service Data Model (CSDM) to break down barriers among data sources for more connected AI agents.
Yokohama’s New Agents
Security Operations (SecOps) expert AI agents improve security operations by streamlining the incident lifecycle, eliminating repetitive tasks and empowering SecOps teams to focus on quickly stopping real threats.
Autonomous change management AI agents act like a change manager, generating custom implementation, test, and backout plans by analysing impact, historical data, and similar changes—enabling smooth execution with minimal risk.
Proactive network test & repair AI agents operate as AI-powered troubleshooters that automatically detect, diagnose, and resolve network issues before they impact performance.
Simplified AI Agent Management
ServiceNow AI Agent Orchestrator and AI Agent Studio are also now generally available with expanded capabilities to govern the AI agent lifecycle—from building AI agents, to onboarding and monitoring their performance. This includes:
Enhanced onboarding capabilities through AI Agent Studio to streamline the setup process with guided instructions, making it easier to design and configure new AI agents using natural language descriptions.
Expanded performance management capabilities within ServiceNow’s overall agentic AI framework include an analytics dashboard for visualising AI agent usage, quality, and value. Agentic AI workflows are tied to business KPIs so administrators can more easily track AI agent performance and ROI.
"With the combination of agentic AI, data fabric, and workflow automation all on one platform, we’re making it easier for organisations to embed connected AI where work happens and both measure and drive business outcomes faster, smarter, and at scale," said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow.
