Most hotel finance teams don't have a data problem. They have a time problem. The information exists somewhere in the portfolio, it's just buried across a dozen processes that were never built to scale past a handful of properties.

Pull the budget process from five properties in one group and you'll find five different starting points. Ask each property for a forecast update and you'll get five different levels of detail, built on five different assumptions. By the time it's all reconciled into one view, the month it was describing is already over.

In this 20-minute session, Eugene Cheng and Ian Lawless show why this gap widens every time a portfolio grows, why adding headcount rarely fixes it, and why AI can't do anything useful until the underlying process is fixed first.

You'll walk away with a clear read on where your team is actually losing the most hours, what separates a process problem from a people problem, and a simple way to think about where AI helps and where it doesn't.