Imagine it’s Monday morning, hours before the quarterly forecast meeting. A finance leader asks an AI agent, “Why did gross margin decline? Which assumptions need to change? And what should the company do next?” Within seconds, the agent pulls information from multiple systems, identifies a handful of drivers and recommends cutting discretionary spending or revisiting the hiring plan. It’s clear, detailed and plausible. Nothing about the answer looks obviously wrong. That is what makes it so…
This article has been indexed from Unite.AI
Read the original article: