AI orchestration and governance have become a core operational requirement for enterprises deploying LLMs and agents at scale - yet most organizations underestimate how many moving parts are involved: knowing which team is calling which model with what data, keeping guardrails consistent across the board, containing the security exposure each new integration brings, and tracking what it's all costing. And regulatory regimes like the EU AI Act only raise the stakes further, adding a compliance dimension to the equation. This talk walks through building such a governance stack from open-source components into a coherent, sovereign platform you fully control. We'll cover the architecture, the integration pain points nobody talks about, and when it makes sense to build vs. adopt a ready-made enterprise platform.
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