The IT Nerd

Kyndryl, a leading provider of mission-critical enterprise technology services, today launched the Kyndryl Agentic AI Framework, a new approach to deploying agentic AI to augment human teams. The enterprise-grade Framework orchestrates and dispatches a portfolio of specialized, self-directed, self-learning AI agents that dynamically respond to shifting conditions and keep humans in the loop for oversight. 

The Kyndryl Agentic AI Framework enables enterprises to adopt, deploy and scale agentic AI-powered solutions — whether on-premises, in the cloud or in a hybrid IT setting — to transform and improve their business operations. In deploying the Framework, Kyndryl leverages its expertise from thousands of infrastructure deployments and its experience with generating over 12 million AI-driven insights monthly via Kyndryl Bridge. The Framework combines advanced algorithms, self-learning, optimization and secure-by-design AI agents that translate complex data into clear, understandable insights.

Kyndryl’s new Agentic AI Framework deploys intelligent agents that act, learn and collaborate with humans to drive positive outcomes across complex workflows.

Customers across industries are already working with Kyndryl to explore and understand how they can leverage the Agentic Framework’s sophisticated capabilities, including:

• A national government evaluating the Kyndryl Agentic AI Framework for a large-scale deployment across their complex IT estate. The government aims to enhance citizen experiences, improve public service, ensure compliance and reduce regulatory risks by leveraging the Framework and Kyndryl’s expertise in transparent and responsible AI. This will empower government stakeholders to align policies with best practices and operate efficiently for the benefit of their constituents. The capability will enable government employees to view real-time, up-to-date insights on metrics such as traffic congestion, hospital bed availability and school attendance.
• As part of an ongoing modernization program, a leading financial institution is working with Kyndryl Consult to assess how it can apply Kyndryl’s Agentic AI Framework to introduce AI agents for automating compliance, optimizing IT and accelerating service delivery. By leveraging this solution, the institution aims to enhance agility, strengthen cyber resilience, meet regulatory standards, and drive long-term innovation and operational efficiency.

This new Framework comes at a critical moment for enterprise leaders who are struggling to see benefits from AI use cases. In fact, according to Kyndryl’s recently published 2025 People Readiness Report, only 4 in 10 leaders report using AI-powered insights to enhance decision-making or unlock business growth. In addition, only one-fifth of business leaders say the primary use case of AI in their organization is to develop new products and services for customers.

The Kyndryl Agentic AI Framework can help organizations confidently deploy AI with trust and security in mind. The Framework was built with industry-standard encryption protocols, privacy-by-design principles and zero-trust security — fostering trust in AI-driven processes and assurances that agent actions are traceable, interpretable and continuously improved with human oversight. It can also be tailored to meet enterprises’ needs and adapt to industries through self-directed learning, enabling organizations to apply the Framework to a wide range of use cases and projects with speed and confidence.

Kyndryl Consult experts will work side-by-side with customers to assess, design, engineer and plan deployments of the Framework that are tailored to individual customer business requirements.

Learn more information about Kyndryl’s Agentic AI Framework.

A new global study released today by Kyndryl found that only a small number of organizations have taken steps to align their workforce strategies with the growth of AI technology. Those that have done so have positioned themselves ahead in the race to deliver positive return on investments in the technology.

Based on a survey of more than 1,000 senior business and technology executives across 25 industries and eight geographies, Kyndryl’s first People Readiness Report reveals a striking gap between AI investment and workforce preparedness:

• 95% of businesses have invested in AI
• 71% of leaders say their workforces are not yet ready to successfully leverage the technology
• 51% believe their organizations lack the skilled talent needed to manage AI
• 45% of CEOs think most employees are resistant or even openly hostile to AI

Workforce readiness varies by industry. Businesses in Banking, Financial Services and Insurance report the highest levels of preparedness, while those in Healthcare report trailing behind.

Despite widespread attempts at implementation, most organizations are not currently benefiting from game-changing use cases that will drive new products and services for their customers. Generative AI tools are the most popular use case reported by those surveyed, yet only 4 in 10 leaders report using AI-powered insights to enhance decision-making or unlock growth for their business. Just one-fifth of leaders say the primary use case of AI at their organization is to develop new products and services for customers.

Yet this research also reveals that a small subset of AI Pacesetters has leveraged AI for business growth while addressing workforce readiness. They are making strategic workforce decisions and seeing benefits across their employee population. Pacesetters are uniquely addressing 3 key barriers that are inhibiting AI adoption, and they are seeing benefits from their actions across:

1. Organizational change management: AI Pacesetters are three times more likely than others to report a fully implemented change management strategy for AI in the workplace.
2. Lack of employee trust in AI: AI Pacesetters are 29% less likely to cite fears around AI affecting employee engagement.
3. Skill gaps: AI Pacesetters are 67% more likely to agree that their organization has the tools and processes to accurately inventory the skills employees currently have. Four in 10 report no skills challenges at all.

Compared to CIOs and CTOs, CEOs are far more likely to say their organization is still in its early stages of AI, and two and a half times more likely to say their infrastructure is inadequate to support it. This difference also extends to how they choose to solve AI-related workforce challenges and the individual skills they believe their organization needs to be successful. CEOs are far more likely to turn to outside talent rather than upskilling their own employees.

To read the full report, visit Kyndryl’s People Readiness Report.