Before embarking on its AI journey, NBIM undertook a multi-year transformation to insource operations, migrate its entire IT infrastructure to the public cloud, and consolidate data into a single, high-quality warehouse (Mart Mbim Core). This provided the scalable infrastructure and clean data necessary for effective AI implementation.
NBIM's AI adoption was driven by a clear executive mandate to become 20% more efficient. This was operationalized through a mandatory, firm-wide upskilling program, partnerships with AI providers like Anthropic, and the deployment of tools like Claude and Gemini to every employee.
The fund is applying AI to solve specific business problems across diverse functions. Examples include a multi-agent system to accelerate block trade decisions, an in-house communications dashboard for sentiment analysis, and advanced data processing for cybersecurity threat detection.
NBIM has proactively established a robust governance structure for AI, including a formal Responsible AI framework aligned with the EU AI Act, an AI governance working group, and a strict policy requiring human involvement in all investment and people-related decisions. This framework is supported by mandatory training for all staff on the ethical use of AI.
The adoption of AI has prompted a shift away from traditional Scrum development methodologies toward smaller, more autonomous and empowered teams. Furthermore, tools like Claude Code are enabling a broader base of employees, not just developers, to create software solutions, fostering a culture of rapid, decentralized innovation.
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