About the Event

You can’t automate a process that isn’t standardized. And you can’t standardize a process that lives in someone’s head. That’s often the quiet reason most finance AI initiatives stall at the close and reconciliation stage, and most teams don’t realize it until they’re already six months into an implementation that isn’t delivering.

Ask any Controller or close manager what their biggest challenge is and the answer is almost never “we don’t have enough data.” It’s that the data is everywhere, but the process depends on too many people doing things the right way at the right time, and when something breaks—and something always breaks—the whole cycle slips.

The close and reconciliation workflows where AI is actually delivering time savings share one thing in common: business users own them end to end without depending on IT to make changes or on outside consultants to hold it together. In this webinar, we get into what this looks like in practice: which workflows are the highest-value targets for automation, how teams are building consistency into processes that have historically relied on tribal knowledge, and what it can actually take to get to a faster, cleaner close without a lengthy implementation or a change management nightmare.

If your close process still runs on a combination of spreadsheets, emails, and institutional memory, this conversation can give you a concrete way to think about where to start.