How Generative AI in Commerce Drives Faster Creative and Bigger Questions - with David Cost of Rainbow Apparel Co

Enterprise AI investment keeps stalling before it reaches measurable business impact, and the reason is rarely the technology itself. In this episode, Sam Mantle, CEO at Lingaro, unpacks why data quality and ownership, not model capability, determine whether a pilot scales into something a CFO will call a win. The conversation covers how to diagnose a pilot headed for "pilot purgatory," a real-world example of using AI to resolve data-quality issues at scale, and the one practical step leaders can take this week to move from AI experimentation to impact. ​ This episode is sponsored by Lingaro. ​ In this episode, we cover why enterprise AI pilots stall before delivering measurable business impact, and what it takes to build the data foundation that lets AI scale.

A growing share of AI‑for‑CX guidance assumes a generic enterprise environment, but this episode surfaces the deeper operational friction that emerges when automation meets high‑stakes, highly regulated customer interactions.

AI is breaking down the traditional separation between technology leadership and people leadership, forcing enterprises to rethink how work is structured and how employees adopt new systems.

Enterprises rushing agentic AI into production are running it through approval gates, batch windows, and audit systems built for human speed — and the gap is where most operational risk lives. In this episode, Chris Caldwell, President and CEO at Concentrix Corporation, examines how machine-scale transactions break processes designed for human pace and why bounded digital delegates outperform unrestricted digital twins in the enterprise. The discussion covers compliance bots that check other bots, the cost reality of poorly tuned agentic agents, and what leaders need to stop doing if they want a defensible AI roadmap. Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability, download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv2.

A fundamental shift is emerging as AI moves core financial operations away from traditional web interfaces and into AI‑native cloud‑desktop environments, redefining how CFO teams execute and manage workflows. In this episode, Henry Ward, founder and CEO at Carta, examines how this transition changes the CFO operating model alongside host Daniel Faggella, highlighting why AI‑literate finance leaders gain leverage by orchestrating reporting, close processes, and analysis directly through agent‑driven systems. The discussion outlines how reusable AI skills, shared operational source files, and automated coordination reshape month‑end close, reporting agility, and cross‑team execution for modern finance organizations. To go deeper on this topic and learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs2