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AI Governance for Engineering Teams: Guardrails, Budgets, and Audit Logs That Actually Scale
Most AI incidents don't happen because the model gave a bad answer. They happen because nobody was governing everything around the model.
Large language models are already finding their way into everyday engineering workflows. Developers use them in IDEs, support teams rely on them to answer customer questions, analysts connect them to internal databases, and AI agents now execute tasks that used to require direct human involvement.
Getting AI into production becomes easy. The harder pro...
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