Traditional ADM needs a rethink

Traditional application development and maintenance (ADM) no longer serves merely as a support function. Designed for stability and control, it can’t keep pace with modern enterprise demands, where applications are central to growth, change is constant, and expectations only get faster. Measuring success through tickets and service level agreements (SLAs) creates a disconnect between IT performance and business value. This leaves organizations constrained by run costs and limited capacity for innovation.

New technologies enable better business-aligned IT operations

Agentic artificial intelligence (agentic AI) introduces a fundamentally new ADM operating model. By deploying autonomous, orchestrated AI agents across the software development lifecycle (SDLC), support moves from reactive to proactive, intelligent operations. This replaces fragmented automation with continuous learning and enables human-supervised autonomy at scale. Performance is reframed around experience and outcomes through experience level agreements (XLAs). The result is a more adaptive and value-driven approach to managing applications.

In this point of view, explore how agentic AI transforms ADM from a cost center into a strategic growth engine, aligning IT with business outcomes and building the foundation for continuous, AI-led transformation at scale.