Goldman's engineers have a new challenge: turning AI agents into firm insiders
Goldman Sachs is focusing on training its AI agents to understand the firm's specific engineering culture and institutional knowledge. CIO Marco Argenti emphasizes that teaching AI 'tribal knowledge' is essential for the bank to maximize the value of its significant AI investments.
Why it matters
As financial institutions integrate AI, the ability to customize general models to specific corporate standards and security protocols is becoming a key competitive differentiator.
Marco Argenti said that an engineer's main AI challenge has shifted. Bloomberg/Getty Images Marco Argenti, chief information officer, said engineers need to transfer "tribal knowledge" to AI. Now that all developers are using AI, Argenti said the focus is on making tools specific to Goldman. AI is also transforming mentorship structures across lines of business. Marco Argenti is facing a new problem: how to communicate the subtleties of Goldman Sachs' engineering culture to an AI bot. Argenti, the firm's chief information officer, said that since the firm's more than 12,000 developers are all using AI, the focus is on making their AI tools Goldman-specific. All of the bank's developers have access to updated agentic technology, including Claude and Devin, Cognition's AI coding assistant. They now must figure out how to "mentor" the AI, much as they would a new employee who doesn't yet know Goldman's standards.
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