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artigo
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By Gonzalo Escajadillo, Senior Vice President for Kyndryl’s Microsoft Alliance
Enterprise leaders no longer question whether AI will transform their organizations. The challenge in 2026 is far more practical: how to move from experimentation to enterprise-wide execution, without adding operational risk.
Too often, AI initiatives stall after the pilot phase. Not because the technology falls short, but because enterprises struggle to operationalize AI across complex, hybrid environments that must remain secure, compliant and resilient. Turning AI ambition into enterprise reality requires more than tools. It requires a platform built for scale, and an execution partner that understands how global enterprises run.
This is where the strategic alliance between Kyndryl and Microsoft is making a measurable difference.
Institutionalizing AI across the enterprise
The enterprises realizing the most value from AI are not treating it as a standalone initiative or a collection of pilots. They are institutionalizing AI as an operating capability — one that is governed, resilient and embedded into how work gets done. This shift requires more than model access or experimentation. It requires an AI operating model that spans data, security, workflows and human oversight, and can be run continuously across regions, industries and regulated environments. Kyndryl applies its run‑transform‑run operating model to help enterprises modernize and scale AI while keeping mission‑critical systems stable, secure and resilient.
Microsoft’s Azure platform provides the foundation for this shift. By unifying cloud infrastructure, data, AI, security and productivity into an integrated platform, Microsoft enables AI to move into everyday enterprise execution, from IT operations to business processes and employee workflows. This integration is critical as organizations move beyond siloed modernization projects toward holistic operating models. Kyndryl’s role is to operationalize this platform with real-world use cases.
Kyndryl helps organizations move to portfolio-level adoption with frameworks, governance and reusable patterns. We provide advisory, implementation and managed services capabilities to support customers across industries as they aim to accelerate their hybrid AI cloud adoption with Microsoft.
By leveraging Kyndryl’s Agentic AI Framework and insights from Kyndryl Bridge, we can understand, integrate and transform our customers’ technology estates into modern AI systems by ingesting code and policies to manage complex system interdependencies. Combined with Microsoft’s AI and Azure services, we can autonomously execute business and IT workflows to fundamentally change how customers operate. This can be done with Kyndryl Agentic AI Digital Trust, which provides full visibility into how the AI agents make decisions.
Together, Kyndryl and Microsoft help enterprises modernize their IT and operationalize AI by:
- Building a resilient hybrid foundation, with Azure serving as the control plane across cloud, hybrid and edge environments
- Embedding AI where the work happens, from IT operations to business workflows, using Azure AI and Microsoft Copilot
- Creating an AI-ready data estate, supporting trusted analytics and decision-making at scale
- Implementing security and responsible AI by design, with zero trust and governance built into every layer
Execution is the differentiator
While access to advanced technology is widespread, execution at scale is not.
Kyndryl brings unmatched scale to Microsoft environments, with more than 17,000 Microsoft-skilled professionals across 60+ countries, holding 29,000+ Azure certifications. Kyndryl holds the AI Platform on Microsoft Azure Specialization and is a Microsoft Azure Expert Managed Service Partner — distinctions that represent the highest service provider status with Microsoft, and which only a small group of global systems integrators can claim. As such, Kyndryl has demonstrated the ability to design, migrate, optimize and operate Azure environments at the highest level of maturity.
While many organizations can deploy AI, far fewer can reliably run AI‑enabled platforms across global, regulated environments. By combining Microsoft’s integrated platform with Kyndryl’s run‑transform‑run operating model, customers can modernize their IT and scale AI without sacrificing resilience.
