Kyndryl launches service to ready IT environments for autonomous AI agents
Kyndryl introduced Agentic Service Management, a new offering designed to help organizations prepare their IT infrastructure for autonomous AI agents. The service addresses a growing gap: companies invest heavily in AI technology but struggle to deploy it effectively within existing systems built for manual processes.
The core problem is structural. Most IT environments remain designed around employees manually handling tickets and operating systems. When autonomous agents need to perform tasks across hybrid and multi-cloud environments, this friction becomes costly.
What the service does
Agentic Service Management combines assessments, guidelines, and implementation roadmaps. It identifies gaps in service management, AI governance, security, and operational processes, then develops a phased approach to adapt IT environments for agent deployment.
Kyndryl targets specific use cases where automation delivers immediate value: databases and ERP systems where agents can accelerate modernization efforts.
Governance and control come first
Kyndryl emphasizes that organizations must adapt their operational models before scaling AI agents. This means establishing clear control mechanisms, measurable adoption phases, and keeping people ultimately responsible for governance and risk.
The company offers a complementary management solution that provides centralized oversight of active agents. It validates agents before deployment-testing for security, resilience, and policy compliance-and maintains control during operation by setting boundaries and detecting anomalous behavior.
Security and governance must be built into development from the start, not added afterward. Kyndryl applies threat modeling and security testing throughout development and uses runtime protection to contain incidents faster.
Internal adoption
Kyndryl is deploying this approach within its own operations. The company uses its proprietary platform to run AI functionalities that support operational processes and help employees monitor and make decisions within business-critical systems.
For managers evaluating AI agent adoption, understanding AI agents and automation and the governance requirements is essential. Kyndryl's framework suggests that successful deployment requires organizational readiness as much as technical capability-a point covered in resources on AI for management.
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