BNY
United States, Global Financial services
AI agents execute multi-step work Workflow Redesign
What changed
Employees across technical and nontechnical functions build AI agents on BNY's Eliza platform, digital employees perform routine work alongside payment teams, and AI learning is embedded into role-based and early-career development.
How the organization responded
Organizational response: Reskill · Entry-Path Redesign · Operating Model Redesign
Why it matters
The evidence supports actual reskilling, entry-path redesign and operating-model redesign at organization level, but no standardized productivity outcome or staffing effect is established. Shows AI adoption entering both operational team design and the institution's capability and early-career development architecture.
Human role / decision rights
Not Yet Evidenced. BNY documents guardrails, telemetry, approvals and supervisors for digital employees, but the accepted evidence does not specify final decision authority for individual payment workflows.
Source
BNY
First-party source documents the Eliza platform, employees building agents, digital employees operating alongside payment teams, 99% of employees trained/onboarded, role-based learning pathways, analyst bootcamps and more than 100 digital employees deployed. These establish behavioral scale and workforce-arrangement change, not a standardized productivity outcome.
