Neural Method | AI Governance for Finance скачать в хорошем качестве

Neural Method | AI Governance for Finance

AI Governance for Finance: Why Control Must Precede Scale Financial institutions are rapidly adopting large language models, but speed without architecture creates hidden risk. Post-hoc monitoring, unmanaged inference costs, and vendor-dependent intelligence stacks quietly undermine compliance, trust, and long-term ROI. This video explains why governance must exist before execution, not after problems occur. We examine how pre-execution control, internal-first systems, and deterministic architecture help financial organizations move from experimentation to enterprise-grade AI. The focus is not on models or hype, but on where authority, cost, and risk are enforced within the system. Neural Method approaches AI as infrastructure. We design governance layers that define who can act, under what conditions, and at what cost—so automation can scale without surrendering control. This is not about slowing innovation. It’s about building the foundation that allows AI to scale safely in high-stakes environments. Check out - www.neuralmethod.ai