ServiceNow Launches AI Partner Network and Self-Healing IT Tools

At its Knowledge 2025 event, ServiceNow announced the launch of its Workflow Data Network, a partner ecosystem designed to enhance AI-powered workflow automation. The platform integrates data from various sources, including structured, unstructured, real-time, and third-party data, without requiring copy connectors. Key integrations include platforms like Amazon Redshift, Databricks, Google Cloud BigQuery, Microsoft SQL Server, Snowflake, Cloudera, and Teradata.

Key Highlights:

Workflow Data Network

• Amit Saxena, VP and GM of Workflow Data Fabric, emphasized the network’s ability to provide a unified view of enterprise data for AI-driven actions.
• Partnerships with Adobe, Boomi, Microsoft, and Oracle enable seamless integration of applications and pre-built templates.
• The open framework supports over 50 open-source databases and native connections to RaptorDB Pro.

Autonomous IT Agents

ServiceNow introduced new AI agents across multiple IT domains:

• IT Service Management (ITSM): Reduces repetitive tasks and improves incident communication.
• IT Operations Management (ITOM): Automates alert triage and root-cause analysis.
• IT Asset Management (ITAM): Handles autonomous procurement while ensuring compliance.
• Strategic Portfolio Management (SPM): Tracks project execution and alerts managers of deviations.

Dave Wright, Chief Innovation Officer, highlighted the "self-healing and self-defending" capabilities of these agents, calling it "agentic AI in action."

Core Business Suite

ServiceNow also launched its Core Business Suite, aimed at streamlining HR, procurement, finance, facilities, and legal operations. Features include:

• Automated request handling.
• Cross-department workflow connections.
• Finance Case Management, offering AI assistance for tasks like vendor invoice checks and payroll escalations.

For more on ITSM, see this CIO article.

Summary: ServiceNow’s latest announcements at Knowledge 2025 focus on AI-driven automation and autonomous IT, aiming to reduce manual workloads and enhance operational efficiency.