Kyndryl Expands Agentic AI Framework to Scale Enterprise Adoption

Enterprise technology services company Kyndryl has announced an expansion of its Agentic AI Framework. The new capabilities are designed to help enterprises move beyond experimental proof-of-concept projects and adopt AI-native solutions at scale, a challenge that has hindered many businesses eager to tap into the transformative potential of artificial intelligence.

The enhancements combine a structured design process with a new engagement methodology, aimed at shortening the gap between concept and deployment. Kyndryl says it is deploying its forward engineers, proprietary assets, and intellectual property to accelerate customer adoption.

Leveraging Kyndryl Vital, the company’s co-creation platform, the approach emphasizes tailored projects that bring rapid, tangible outcomes to customers across industries such as government, banking, insurance, and manufacturing.

Chairman and CEO Martin Schroeter described the development as part of a larger paradigm shift. “With decades of mission-critical infrastructure expertise, unique intellectual property and our AI consult methodology, Kyndryl is poised to lead our customers through this paradigm shift toward agentic AI,” he said. “Our differentiated approach blends agents within complex environments and empowers organizations to scale AI throughout their operations as they move to become AI-native.”

Kyndryl is positioning its framework as both infrastructure-centric and secure-by-design, reflecting its long history of managing large-scale systems. The Agentic AI Framework integrates intelligent agents into enterprise workflows, orchestrating and scaling operations while maintaining compliance through what the company calls “guardian concepts.” These principles are meant to ensure that autonomous AI processes remain transparent, auditable, and aligned with regulatory obligations.

Real-World Use Cases

A central component is the agentic ingestion capability, which evaluates an organization’s existing code, policies, data dependencies, and business objectives to inform agent design. Combined with reference architectures and a catalog of pre-built AI agents, Kyndryl’s agent builder enables enterprises to design, test, and deploy solutions for tasks such as code generation, software testing, or complex process automation. Importantly, these agents are engineered to meet mission-critical security and compliance standards, a key differentiator in industries where risk tolerance is low.

The company highlights real-world use cases already underway. In the insurance sector, Kyndryl is building AI-enabled actuarial solutions that automate workflows, generate regulatory filings, and run proactive compliance checks. For government customers, the framework is being applied to streamline processes across departments such as tax, immigration, and social services, embedding AI agents that assist civil servants and improve service delivery to citizens. In banking, Kyndryl is collaborating on automating client onboarding, embedding AI across submission, review, validation, and vetting to reduce friction and enhance customer experience.

The company reports that roughly a quarter of its new business signings already include AI-related services, reflecting growing market appetite. To further scale adoption, Kyndryl is engaging with alliance partners to co-develop solutions and has initiated partnerships with universities to educate and prepare the next generation of AI professionals.

As AI workloads accelerate, enterprises are seeking frameworks that can integrate seamlessly with existing infrastructure while providing scalability and governance. Kyndryl argues its combination of infrastructure-first experience, consultative methodologies, and secure-by-design principles positions it to meet that demand.