BNY Names New Executive Platform Owner for Payments/Trade Client Platform

BNY has named a new executive platform owner for its global payments and trade (GP&T) client platform.

Julie Gerdeman, who most recently served as head of the bank’s data and analytics platform, has been picked to guide the evolution of the GP&T offering, BNY announced in a news release provided to PYMNTS Wednesday (April 22).

“We are pleased to welcome Julie into this role leading our Global Payments & Trade client platform,” Jennifer Barker, BNY’s global head of payments and trade and depositary receipts, said in the release. “Having worked closely with her, I’ve seen firsthand her ability to bring teams together, drive alignment across platforms, and execute with focus and discipline.”

The release added that Gerdeman, who has been with BNY for two years, has more than 20 years of experience in building and scaling technology businesses. She succeeds Carl Slabicki, who has been named as BNY’s new head of commercial for GP&T.

In other BNY news, PYMNTS wrote last week about BNY’s latest earnings call, which included an exploration into the bank’s artificial intelligence (AI) use.

Around half of the bank’s workers are now daily users of AI, with more than 50% actively building AI agents that are part of their workflows. BNY said it has around 220 enterprise AI solutions in production and roughly 140 “digital employees” now deployed across the business.

“The clearest evidence of this shift appears in operational metrics that are rarely emphasized in traditional earnings narratives,” PYMNTS wrote. “AI-assisted processes are accelerating onboarding times by more than 20%, improving resolution speeds in compliance workflows by over 30%, and handling a growing share of transaction inquiries with dramatically faster turnaround. Even more striking is the impact on knowledge work.”

Approximately 40% of code is now written by AI, helping to fuel a double-digit increase in software release velocity, the report added. Account planning—once seen as a labor-intensive, relationship-driven process—is now partially automated, with around half of plans drafted using AI and completed 60% more quickly.

“The key insight is that AI is no longer being justified as a future efficiency driver. It is already functioning as a present-day margin engine,” PYMNTS added. “Productivity improvements are visible in BNY’s revenue per employee, which has climbed steadily in recent years, and in faster execution across critical workflows such as onboarding, compliance, and client servicing.”