AI Pipeline

The end-to-end sequence of steps that transforms raw inputs into final AI-generated outputs, including data ingestion, preprocessing, model inference, post-processing, and delivery to end users. In production systems, an AI pipeline may involve multiple models, tools, APIs, and human review checkpoints working in sequence. Governing an AI pipeline means mapping each step: where does data come from, which models touch it, what can go wrong at each stage, and where is the human-in-the-loop?

A content team's AI pipeline: web scraping → topic classification model → draft generation (LLM) → human editor review → publish. Each step is a governance checkpoint.