Sep 22, 2026
For large banks, the barrier to AI at scale is rarely the
model. It's decades of fragmented systems, inherited through
mergers, acquisitions, and new products, where each team trusts its
own data and no single view of context exists. Agentic AI doesn't
fix that fragmentation; it amplifies it across every user and every
prompt.
In this episode, Nathaniel Bell, Data Management Director at
Wells Fargo, joins host Yolandi de Weerdt, to examine why the
real challenge for regulated institutions is scaling trust while
automating, why leaders should judge new technology on the business
outcome it can prove rather than the demo, and why no process
should be automated before it's standardized.
Bell outlines the practical shifts underway: from manual
attestations and spreadsheets toward automated logs that show what
happened in a workflow, from governance as document review toward
governance built into workflows as code, and from buying new tools
toward changing how teams work once they have them.
According to Nielsen, 91% of podcast listening happens alone,
indicating deep, undistracted attention — ideal for complex B2B
messaging.
To learn how leading brands and AI startups connect with
enterprise AI buyer audiences at scale, download our media kit at
emerj.com/AD1