AI is reaching finance’s core systems: Here’s what it takes to run it there
AI is rapidly expanding across finance, but most agentic offerings have yet to reach core production systems. Only 10% of enterprises are using AI tools in a meaningful, production-grade way. Not because of a lack of interest, but because connecting AI to core systems to trade capture, risk, and surveillance is still a work in progress.
These systems offer the greatest opportunity for AI to simplify finance operations through efficient workflows and live trading queries. Yet, legacy systems force this technology to operate in isolation. The volume of architecture connected to traditional platforms often creates this constraint.
The financial services industry has forced firms to adapt core architecture rather than replace it, preserving operations, but limiting AI compatibility. Now, the challenge is incorporating AI into these existing systems without forcing an infrastructure replacement that would cause platforms to pause or fail.
To bridge the gap between existing systems and...
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