Bits & Banks - With Pam Piligian - Episode 17

What does it really take to scale AI inside the world's largest credit union?

That question sits at the heart of our latest Bits & Banks conversation with Pam Piligian, SVP & CMO at Navy Federal Credit Union.

The discussion explores the practical realities of enterprise AI: deciding where AI belongs, governing higher-risk use cases, and building an organization that's ready to scale it.

Here are some of the biggest insights from the conversation.

🔹 Scaling AI starts with defining the problem, not the use case.

Many institutions begin by asking where AI can be deployed. A more effective approach is to first identify the outcomes that matter, the processes that genuinely need improvement, and the capabilities that differentiate the institution. AI then becomes an accelerator for business strategy rather than a collection of disconnected pilots.

🔹 Every AI use case carries a different level of risk.

Generating marketing copy and supporting member-facing decisions cannot be governed the same way. As AI moves closer to underwriting, servicing, collections, or other regulated workflows, expectations around explainability, human oversight, consistency, and compliance increase significantly. Scaling AI requires recognizing that not every workflow deserves the same governance model.

🔹 Member trust should shape technology decisions.

One of Navy Federal's guiding principles is keeping the human in the loop and ensuring members always have a path to a person. That reflects a broader philosophy: technology should strengthen trusted relationships, not redefine them.

🔹 Focus creates better AI strategies.

Navy Federal's clearly defined member charter provides a strategic advantage. A deep understanding of who the institution serves influences everything - from partnerships and personalization to investment priorities. As Pam noted, "The essence of a good strategy is sacrifice." Knowing who you won't serve is just as important as knowing who you will.

🔹 AI maturity is driven by culture as much as technology.

Instead of concentrating AI expertise within a small team, Navy Federal has enabled AI across its workforce. Widespread experimentation creates stronger prompting skills, better judgment, and a culture that's more prepared to identify meaningful business applications.

Whether you're leading AI initiatives, digital transformation, or enterprise strategy, this episode offers insights into what responsible AI adoption looks like at scale

Thank you, Pam, for sharing a candid perspective on what it really takes to scale AI inside a large financial institution - balancing innovation with governance, and an unwavering commitment to member trust.