ServiceNow introduces AI governance platform and agent communication system
ServiceNow's new AI Control Tower provides centralized management for AI agents and workflows, while AI Agent Fabric enables seamless communication between AI systems.
ServiceNow has unveiled two major AI innovations designed to help enterprises better manage their AI ecosystems: the AI Control Tower and AI Agent Fabric.
Centralized AI Management
The AI Control Tower serves as a command center for governing, managing, and securing AI agents from ServiceNow and third-party providers. According to Dorit Zilbershot, ServiceNow's group VP of AI experiences and innovation, this platform allows customers to "govern and manage their AI assets across the enterprise."
Key features include:
- Unified monitoring of AI agents
- Consistent policy application
- Integrated GRC (governance, risk, compliance) policies
- Performance dashboards
AI Agent Communication Backbone
The AI Agent Fabric enables communication between:
- AI agent-to-AI agent
- AI agent-to-tool
- Agentic system-to-agentic system
This system uses common protocols like Model Context Protocol (MCP) and Agent2Agent protocol (A2A).
Industry Impact
Analysts predict significant benefits for enterprises adopting such platforms:
"By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors" - Gartner
Ritu Jyoti of IDC noted the growing importance of AI management solutions:
"With AI solutions and services expected to generate a global cumulative impact of $22.3 trillion by 2030, the volume of AI assets organizations must manage will be unprecedented."
Availability
- AI Control Tower: Generally available now
- AI Agent Fabric: Early access now, general availability Q3 2025
For more ServiceNow coverage, visit CIO.com.
Related News
Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award
Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.
Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture
Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.
About the Author

Michael Rodriguez
AI Technology Journalist
Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.