日本語 
Kindrill, a leading provider of mission-critical enterprise technology services, announced a breakthrough solution that enables enterprises to build policy-driven, governed agent AI workflows and deploy agent AI in complex, highly regulated environments. Kindrill’s Policy as Code transforms a company’s organizational rules, regulatory requirements, and operational controls into machine-readable policies that govern the execution of agent AI workflows, helping to ensure consistent, auditable, and trustworthy AI output.
While businesses want to reap the benefits of integrating agent-based AI into their existing operations, challenges such as security, compliance, and governance are barriers to the reliable adoption of AI agents. According to the Kindrill Readiness Report 2025, 31% of global leaders and 33% of Japanese leaders cited regulatory and compliance concerns as a barrier to expanding their recent technology investments.
Kindrill’s Policy as Code capability addresses these concerns by defining operational boundaries and making agent actions explainable and reviewable in line with customers’ business and regulatory requirements, reducing costs, accelerating decision-making, eliminating errors, and driving AI-native workflows within defined policy guardrails.
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“Kyndryl’s Policy as Code overcomes the limitations of traditional AI agent controls and provides the framework enterprises need to adopt agentic AI solutions,” said Ismail Amla, senior vice president at Kyndryl Consult. “By embedding and codifying business and regulatory requirements directly into the operations of AI agents, it helps ensure that AI workflows are governed, transparent, explainable, and aligned with organizational requirements. ”
Policy as Code is a key element of the Kindrill Agentic AI Framework , providing a logical layer of control that dynamically governs how AI agents execute, interact, and operate across systems. This approach of codifying compliance into existing business processes is strengthened by Kindrill‘s decades of experience running complex enterprise environments and its track record managing approximately 190 million automations per month in mission-critical systems. These operational foundations enhance governance confidence, improve agent explainability, and reduce unexpected behavior in production environments.
SOURCE: PRTimes
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