Kyndryl, the global leader in mission-critical technology services, announced the launch of Kyndryl Autonomous Operations for ServiceNow. Available immediately on the ServiceNow Store, the jointly engineered solution equips enterprise IT leaders with predictive intelligence, real-time risk evaluation, and automated remediation capabilities built to eliminate system downtime and accelerate enterprise digital transformation.
By fusing the deep telemetry, historical resolution data, and agentic workflows of the Kyndryl Bridge platform with the ServiceNow AI Platform, the solution transitions enterprises from reactive troubleshooting to proactive, self-healing IT environments.
“Customers are looking for practical ways to improve operations, increase productivity and realize greater value from AI,” said Giovanni Carraro, Global Strategic Alliances Leader, Kyndryl. “Our expanded collaboration with ServiceNow brings together the deep operational data and engineering knowledge in Kyndryl Bridge with the ServiceNow AI Platform to help customers apply AI in ways that drive meaningful business outcomes. Just as importantly, we’re focused on helping customers move beyond experimentation, put AI to work and become trusted autonomous enterprises.”
Unlocking Autonomous IT via Kyndryl Bridge and ServiceNow AI
The joint offering addresses one of the most critical challenges facing CIOs today: managing sprawl and architectural complexity across hybrid multi-cloud systems. Kyndryl Autonomous Operations establishes a continuous closed-loop operational framework combining observability, contextual intelligence, and synchronized remediation.
Key architectural and business benefits include:
- Deep Multi-Dimensional Context: Ingests and correlates performance metrics, asset dependencies, configurations, active changes, and threat profiles through Kyndryl Bridge.
- Proactive Causal Analysis: Specialized AI agents evaluate failure patterns before system degradation impacts end users, identifying root causes through evidence-based analysis.
- Guided and Automated Resolution: Delivers step-by-step remediation protocols and automated execution paths to drastically reduce mean time to repair (MTTR).
- Continuous Feedback Loops: Every completed intervention enriches the platform’s underlying data model, iteratively refining future machine learning insights and automation scripts.
“Kyndryl and ServiceNow are proving what partner-powered AI looks like in practice,” said Michael Park, SVP, Global Partnerships and Channels, ServiceNow. “Kyndryl brings decades of operational data and engineering depth, ServiceNow brings the AI Control Tower and the governance to run it safely, and together we give customers proven patterns for their own environment. That combination means less time on incidents and more time on innovation.”
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Scaled Infrastructure Intelligence
Kyndryl Bridge currently anchors core operations for more than 1,400 multinational organizations. Processing millions of cross-stack signals to generate over 16 million monthly AI-driven insights, the platform has demonstrated up to a 50% reduction in enterprise IT incidents.
The platform operationalizes decades of enterprise engineering rigor, incorporating more than 10,000 vetted runbooks, remediation playbooks, and best practice workflows. Furthermore, its advanced agentic memory architecture preserves proprietary organizational knowledge, giving enterprises in heavily regulated environments complete transparency into governance, cost management, and regulatory compliance.
Industry Adoption and Ecosystem Expansion
Global enterprises across the manufacturing, retail, and financial services sectors are already deploying the unified Kyndryl and ServiceNow framework to enhance technical resiliency and modernize operational workflows.
This milestone follows the recent rollout of Kyndryl AI Front Door powered by ServiceNow EmployeeWorks, reflecting both organizations’ broader roadmap to elevate both employee experience and core infrastructure reliability through enterprise-grade generative and agentic AI.
