Managing Change Across Modern Financial Operations - with Nathaniel Bell of Wells Fargo

Welcome, everyone, to the Emerge AI in Business podcast. He explains why Agendic AI risks industrializing bad data quality, how tying every tool to a measurable business outcome gives auditors the evidence that they need, and why no process should be automated before it's started out.

It goes beyond the title with direct discussion of think, it's, right, including: Today's guest is Nathaniel Bell, Data Management Director at Wells Fargo.

1. 01In this episode, Nathaniel unpacks why fragmented systems, not AI models, are what stop regulated institutions from running workflows consistently at scale
2. 02He explains why Agendic AI risks industrializing bad data quality, how tying every tool to a measurable business outcome gives auditors the evidence that they need, and why no proc
3. 03Just a quick note for our audience that the views expressed by Nathaniel on today's program do not reflect that of Wells Fargo or its leadership