Confronting the AI Velocity Gap in Enterprise Operations

This white paper presents a comprehensive exploration of agentic AI and its implications for enterprise operations. It outlines the transition from traditional human-led augmentation to a new architecture that emphasizes autonomous execution through AI agents. The document details the challenges organizations face in realizing the full potential of agentic AI, including the AI velocity gap, which reflects the disparity between investment in AI technologies and the actual business value derived from them. The paper introduces a differentiated approach based on straight-through processing (STP) and discusses the evolving role of human oversight in AI operations. It further presents a four-stage maturity model designed to guide organizations in their journey toward achieving autonomous and resilient processes. The insights provided are particularly relevant to the business process outsourcing (BPO) sector, where the principles of agentic AI can be tested and implemented effectively. Overall, the document serves as a foundational guide for leaders seeking to navigate the complexities of AI integration in their operations.