Kyndryl: Agentic AI Transforms Work & Modernization

The debate over AI's potential is ending as "agentic" implementations transform modern work. Companies are seeing improved earnings when they embed AI with proper governance. One company even experienced a 45% increase in share gains after detailing its AI use cases. Here's the thing: becoming an AI-native enterprise requires broad modernizations. A recent study shows 72% of organizations have more technology pilots than they can scale. Also, 57% say AI innovation is delayed by foundational issues in their technology. This gap reveals two truths. Leaders understand scaling AI is crucial for long-term value. However, their current technology environments often can't support this growth. Shawn D’Souza, Global Modernization Leader at Kyndryl, explains that many enterprise technology environments are complex and piecemeal. Traditional modernization approaches only add more complexity, creating instability and failing to deliver outcomes quickly. The bottom line is that AI is changing the modernization conversation itself. To scale agentic AI, modernization must happen fast, with less risk. This means AI becomes both a tool for faster modernization and a desired outcome. This matters because laying the right foundation for AI can compress implementation timelines from months to just weeks.