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FlowX AI: Agents in Regulated Banking & 'AI Rails'
The FlowX AI guest (continuing from the previous segment) explains why off-the-shelf LLM products can't serve regulated industries: enterprise AI needs integrations with core systems like FIS, Fiserv, Finastra and Jack Henry, deterministic consistency, guardrails, and compliance as a first-class feature — all packaged as FlowX's 'AI Rails,' compared to railroads for the steam engine and Ruby on Rails for web development. He argues 100% policy enforcement isn't desirable, so humans must stay in control, cites Karpathy's demo-to-product gap and 'march of the nines,' and describes FlowX's deterministic orchestration of hundreds of specialized microagents. He also recounts how ChatGPT's 2022 launch solved FlowX's early credibility problem and turned AI from a nice-to-have into a do-or-die priority for banks, before the hosts close the interview and remark on how rare it is to hear agents actually live in banks.