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Every Prompt Is a Cross-Border Transfer: AI Governance Under Law 2019-014

A company in Lomé or Dakar wires two hundred employees to American inference APIs, and nobody files anything. This article argues that a prompt containing customer data is a transfer of personal data to a third country in the sense of Togo's law 2019-014, that an LLM gateway does not change the legal nature of that transfer but is what makes it declarable, and that the residency options available to a West African company rank very differently on paper than they do once GPU prices, currency exposure and payment friction are counted.

Giving Your Teams a Real AI Budget with LiteLLM

A hands-on guide to putting a gateway between your people and the model vendors, so that every call is attributed to a named person and a team, every team has a ceiling that resets on a schedule, a daily bound contains the runaway agent, and the finance team finally gets a per team breakdown. Covers deployment with Docker and Postgres, teams and keys, stacked budget windows, rate limits, model tiering, request tags for chargeback, PII guardrails, and the day two work nobody warns you about.

Nobody Knows What Your Company Spends on AI

Every company now has employees using OpenAI, Anthropic and Gemini every day, and almost none of them can say who asked what, what data left the building, or what any of it returned. This article argues that AI governance by policy fails for the same reason shadow IT policies failed, that the request for a fixed AI budget is the wrong question, and that FinOps is the practical way in: the only one of the three unknowns you can measure today is cost, and measuring it is what buys you the other two.