BNY People uses OpenAI

Key Concepts

• AI Agent: A software application designed to perform specific tasks autonomously, in this case, content creation and rebranding.
• Learning by Doing: An educational philosophy emphasizing practical experience over theoretical knowledge.
• AI for Everyone: A company-wide strategy to democratize access to and utilization of Artificial Intelligence.
• Learning Collateral: Materials used for employee training and education.

Accelerated Learning Content Creation with AI at BNY Mellon

BNY Mellon is actively fostering a culture of AI adoption through a “learning by doing” approach, recognizing the lack of established best practices (“no playbook”) in the rapidly evolving field of Artificial Intelligence. This strategy involves diverse initiatives like hackathons and prompt engineering exercises, all geared towards collective learning and experimentation. The core principle is that valuable insights emerge from all organizational levels, and employees are empowered to implement their AI-driven ideas.

The Agent-Based Rebranding and Correction System

A key outcome of this approach is the development of an AI agent by a team of 20,000 employees. This agent is specifically designed to rebrand and correct the company’s learning collateral. Previously, the creation of learning content was a time-consuming process, requiring approximately one month for development. The implementation of the AI agent has dramatically reduced this timeframe to just one hour.

This represents a significant efficiency gain, freeing up the learning and development team’s time. The agent’s functionality isn’t described in detail, but it clearly involves automated content analysis, modification, and potentially, design updates to align with branding guidelines.

Empowering Employees and Fostering Innovation

The success of the agent project underscores BNY Mellon’s “AI for everyone” strategy. This strategy is predicated on the belief that “good ideas come from every level in the organization” and that all employees should have the resources and support to translate those ideas into tangible results. The company emphasizes the importance of a “deeper, stronger partnership” – likely referring to collaboration between different departments and employee levels – as the key to continued success in AI implementation.

Impact and Efficiency Gains

The reduction in content creation time from one month to one hour is a quantifiable metric demonstrating the agent’s impact. This efficiency gain allows the learning and development team to shift their focus from content production to more strategic activities, specifically “connecting with employees.” This suggests a move towards more personalized and engaging learning experiences.

Synthesis

BNY Mellon is proactively embracing AI by prioritizing practical application and employee empowerment. The development and deployment of an AI agent for learning collateral management exemplifies this approach, delivering substantial time savings and enabling a more strategic focus for the learning and development team. The company’s commitment to “AI for everyone” and fostering a collaborative environment positions it for continued innovation in the AI space.