Sep 10, 2026 · 39 min
A small bank turns AI experiments into digital employees
#238: How a 700-Person Bank Is Using AI to Build Apps, Agents, and Digital Employees
PPAC Private’s transformation shows how a regulated institution can use governance, workflow redesign, and internal expertise to compete with larger banks.
- 1PPAC Private began its AI transformation with governance, training, and experimentation before building custom applications and agents.
- 2AI Champions helped employees complete roughly 100 projects, while redesigned workflows targeted software savings and faster client-facing work.
- 3Named digital employees make AI easier to adopt, but their effectiveness still depends on quality data, governance, and internal expertise.
Don't miss
John Kowal explains why PPAC Private gives digital employees names and personalities, using Bruce, an AI finance assistant and Yankees fan, as an example.
The brief
John Kowal describes how PPAC Private began its AI transformation in 2023, pairing executive sponsorship with governance, training, and room for employees to experiment.
The bank’s strategy goes beyond adding AI to old processes: a redesigned loan-closing workflow and custom applications aim to remove software dependence and improve how work gets done.
Its stack includes ChatGPT Enterprise, Codex, enterprise APIs, and an internal data warehouse, with Atlas organizing institutional knowledge to support digital employees.
AI Champions across business divisions have completed roughly 100 projects, helping staff build simple tools while partnering with the technology team on more complex work.
The standout idea is cultural as much as technical: named digital employees such as Bruce, an AI finance assistant and Yankees fan, give unfamiliar systems a recognizable role.
Kowal argues that AI can help a smaller regulated bank compete with larger institutions, provided it invests first in data, governance, expertise, and workflow redesign.
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