Strategic IT Delivery and Operations in Large-Scale Enterprises

Abstract

In large-scale enterprises, IT delivery and operations form the backbone of the digital strategy as technology now delivers reliable, scalable, flexible, intelligent, and governed business value. This review examines the interaction among IT governance, large-scale agile delivery, DevOps, continuous delivery, enterprise architecture management, IT enabled agility, digital transformation strategy and emerging AI/ML delivery and operations. The literature indicates that enterprise IT performance extends beyond a single technology such as portfolio governance, enterprise architecture, pipelines, operational reliability, AI-assisted observability, MLOps, AIOps, and responsible AI governance; it can be any mix of these technologies that are orchestrated. The literature indicates that there are conflicts between speed and control, standardization and autonomy, resilience and speed, automation with AI and accountability, and human effort and accountability. Whilst automation and cross-team delivery might help enterprise IT to perform better, there are still legacy constraints, distributed accountability, inadequate measurement, model and data dependency, AI governance risks and there is limited historical evidence of the relationship between delivery and operational and strategic outcomes. Further studies are needed to establish links among traditional DevOps and IT operations, AI-driven testing, incident forecasting, monitoring model performance, automated root cause analysis, and model-risk management. This review summarizes some of the major trends, gaps and research directions in strategic IT delivery and operations in complex enterprise environments.