BNY Mellon Prioritizes AI Outcomes Over Token Metrics

BNY Mellon, a major financial institution, has deliberately avoided the enterprise AI trend known as 'tokenmaxxing,' which involves tracking and optimizing the volume of AI tokens consumed. Instead, the company prioritizes measurable outcomes and tangible value derived from its artificial intelligence initiatives. Dermot McDonogh, BNY Mellon's Chief Financial Officer, stated that 'tokenmaxxing' is not a metric discussed within the firm, and the costs associated with AI tokens are considered modest relative to the overall engineering budget. McDonogh indicated that while the external buzz around token metrics grew, BNY Mellon's leadership viewed it as a distraction from more meaningful indicators of AI's impact.

BNY Mellon adopted a strategic approach to AI early on, beginning its efforts with the emergence of ChatGPT. Over several years, the bank has developed an internal platform that is agnostic to specific Large Language Models (LLMs) and has established partnerships with major cloud providers (hyperscalers) and AI model developers. A critical component of their strategy has been securing commitment from the CEO and fostering a culture of AI adoption. McDonogh emphasized the importance of "demystification," ensuring that employees do not feel intimidated by AI, which he described as a crucial cultural element. This approach has enabled BNY Mellon to scale its AI implementation without an excessive focus on the cost per query.

Internally, BNY Mellon's systems are designed to route tasks to the most appropriate AI models, thereby ensuring efficiency without requiring employees to manually optimize their prompts. McDonogh stated he could not provide the exact number of prompts processed weekly, as his focus is on the results achieved. These outcomes are becoming increasingly quantifiable. In the first quarter of 2026, BNY Mellon reported that over 40% of its code was generated by AI. This figure has since risen, with approximately 50% of code authorship attributed to AI more recently. AI is also integrated into various operational processes. For instance, about half of the bank's annual account plans are drafted with AI assistance, demonstrating a broad application of the technology across different business functions. The company's commitment to AI is further evidenced by its investment in building a robust, LLM-agnostic platform and cultivating strategic partnerships, underscoring a long-term vision for AI integration and value creation.