Community Blog

Generative AI is transforming every sector, but in financial services its adoption comes with unique stakes: compliance, trust, and systemic risk. While large language models (LLMs) and other AI systems promise productivity gains across research, compliance, trading, and customer engagement, they also introduce challenges that generic benchmarks cannot adequately address.

This tension was at the heart of the recent FINOS workshop and techsprint in London, where engineers, architects, developers and open-source contributors working in the FSI converged to shape an Evaluation Framework for AI in Finance.

Interested in FINOS open source AI? Click the link below to see how to get involved in the FINOS AI Community.

I made the quick hop from Dublin to London for the Open Source in Finance Forum (OSFF) 2025. From the moment I arrived, it was clear I was in the midst of something special—the energy was unmistakable.  (The weather was incredible too!) Engineers, innovators, and open source leaders from across fintech were gathering, eager to connect and push the boundaries of collaborative technology.

Part 1: a new phase for open source in finance

I recently had the opportunity to speak at the Open Source in Finance Forum (OSFF) in London, a key event where the financial services industry gathers to tackle its most important questions. There, I sat down with James McLeod of NatWest Group for a fireside chat that crystallized a shift I’m seeing across the financial services landscape. Our conversation focused on the industry’s evolution from being passive consumers of open source to becoming active creators of value.