Kyndryl Unveils Agentic AI Workflow Governance for Trusted Deployment of Mission‑Critical AI Agents
Policy as code capability transforms compliance in regulated agentic AI workflows, enhancing the ability of enterprises to deploy AI agents safely and efficiently. Kyndryl, recognized as a leader in mission-critical enterprise technology services, has announced a groundbreaking development aimed at facilitating the scaling of agentic AI within complex, regulated environments.
Introduction to Policy as Code
The introduction of automated policy enforcement establishes essential guardrails that codify compliance and enhance transparency across enterprise operations. This capability translates organizational rules, regulatory requirements, and operational controls into machine-readable policies that govern the execution of agentic AI workflows, ensuring consistent, auditable, and trustworthy outcomes.
According to Kyndryl, a significant portion of customers—31%—identify regulatory or compliance concerns as a primary barrier to scaling their technology investments. The new policy as code capability directly addresses these challenges by defining operational boundaries and ensuring that agents operate in a manner that is explainable and aligned with both business and regulatory requirements.
Benefits of Embedding Policy in AI Workflows
Kyndryl’s approach helps reduce costs, accelerate decision-making, eliminate errors, and facilitate the operation of AI-native workflows within defined policy guardrails. Ismail Amla, Senior Vice President at Kyndryl Consult, emphasized that this capability overcomes the limitations of traditional AI agent controls, providing a structured framework necessary for the adoption of agentic AI solutions.
Core Features of Kyndryl’s Agentic AI Framework
Policy as code is a fundamental element of Kyndryl’s Agentic AI Framework, providing a logical enforcement layer that dynamically governs the execution, interaction, and operation of AI agents across various systems. Key features include:
- Deterministic execution: Agents are restricted to executing actions that are permitted and enforced by pre-defined policies, significantly reducing operational risk.
- Elimination of hallucination impact: Guardrails prevent unpredictable or unauthorized actions along the workflow, mitigating the operational impact of agentic hallucinations.
- Audit-by-design transparency: Each action and decision made by agents is logged and explainable, supporting compliance and oversight.
- Human supervision: Agents perform tasks in alignment with established policies, observable via a dashboard that ensures consistent actions and decisions.
Applications in Mission-Critical Domains
The structured approach to managing agentic workflow execution supports the controlled and safe deployment of policy-constrained autonomous agents in critical sectors, including financial operations, public services, and supply chains, where reliability and predictability are paramount.
Conclusion
For organizations looking to integrate agentic AI into their operations, Kyndryl offers expertise in designing, implementing, and operating solutions governed by enterprise-grade policies and compliance controls. The company invites interested parties to connect with its consultants to explore how they can benefit from this innovative approach to agentic AI.
