Episode Details

Indy Sawhney, a technology leader at AWS, provides a detailed analysis of the financial hurdles currently slowing down enterprise AI adoption. He argues that traditional ROI frameworks designed for basic automation are insufficient for Agentic AI, which involves complex decision-making and error recovery. The text identifies three main blockers preventing success: the use of outdated measurement models, skepticism from finance teams, and a lack of established performance baselines. To resolve these issues, Sawhney suggests that leaders must move beyond simple spreadsheets to capture the unique economic variables of agent-driven workflows. This newsletter edition serves as the start of a series intended to help organizations build more accurate financial playbooks for modern artificial intelligence.