The finance function is at an inflection point. Ninety percent of finance leaders have allocated budget for AI — yet nearly four in ten say they don't yet trust the technology to act on their behalf. At the same time, A/R workloads keep climbing, integration gaps keep widening, and the pressure on finance to operate more strategically has never been higher. The gap between AI's promise and its trustworthy, practical application has quietly become one of the defining strategic questions inside the office of the CFO.
In this session, Chris McCracken and Chris Couch will explore what's actually working — and what isn't — when finance teams put AI to work in invoice-to-cash. The conversation will look at the structural reasons A/R has been slower than other functions to modernize, the conditions under which AI delivers real, measurable outcomes versus introducing new risk, and what an AI-augmented approach to finance operations looks like in practice. Drawing on recent research with 300 U.S. finance leaders and lessons from companies that have moved from manual reconciliation to intelligent, embedded automation, we'll separate the hype from the operating reality.
CPE Credit Information
Subject Area: Technology
Course Level: Overview
Instructional Method: Group Internet Based
Prerequisites: None
Advanced Preparation: None
