Kyndryl rolls out Agentic Service Management for AI-driven processes

2026-04-02 · Source: Tech Monitor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Robotics & Autonomous Systems · Depth: Intermediate, short

Summary

Kyndryl has launched Agentic Service Management, a solution designed to help enterprises transition from traditional IT service operations to autonomous, AI-powered workflows. This offering evaluates an organization's technology estate, assesses its readiness for AI-native models, and provides recommendations for upgrading legacy systems. Through Kyndryl Consult, the company uses a maturity assessment framework to benchmark practices against AI industry standards like ISO 42001, delivering a gap analysis and phased implementation plan. Kyndryl's Readiness Report indicates that nearly half of organizations struggle to extract measurable value from AI investments due to outdated processes and governance. The solution also includes Agentic AI Digital Trust, an independent service focused on control and governance for AI agent deployment, particularly in regulated environments, leveraging Kyndryl's "policy as code" capability introduced in February 2026. Kyndryl internally uses these capabilities and offers external access via its Kyndryl Bridge platform.

Key takeaway

For CTOs and VPs of Engineering grappling with scaling AI initiatives, Kyndryl's Agentic Service Management offers a structured approach to overcome limitations imposed by legacy IT. You should evaluate your organization's AI readiness using a formal assessment framework and consider adopting agentic IT service management to bridge the gap between AI possibilities and operational support. This can help ensure compliance and security while enabling autonomous AI agents to deliver measurable value.

Key insights

Agentic Service Management helps enterprises adopt AI-native operations by assessing readiness and providing governance for autonomous AI agents.

Principles

• Legacy IT architectures limit AI scalability.
• Governance and controls are crucial for autonomous AI.
• Policy as code enables automated compliance.

Method

Kyndryl's method involves a maturity assessment against AI standards (e.g., ISO 42001), a gap analysis, and a phased implementation plan for AI-native operational models across hybrid environments.

In practice

• Benchmark current practices against ISO 42001.
• Implement "policy as code" for AI governance.
• Utilize Kyndryl Bridge for operational insights.

Topics

• Agentic Service Management
• AI-powered Workflows
• Enterprise IT Services
• Agentic AI Digital Trust
• Regulatory Compliance

Best for: CTO, VP of Engineering/Data, Executive, IT Professional, Director of AI/ML, Legal Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.