# Data Lineage - PAI Integration

**Version**: v0.1.0 | **Status**: Active | **Last Updated**: March 2026

## Overview

The `data_lineage` module integrates with the Personal AI (PAI) Infrastructure to provide automated data governance and impact awareness for AI agents.

## PAI Integration

| Algorithm Phase | Role | Tools Used |
|----------------|------|-----------|
| **PLAN** | Assess blast radius of proposed data changes | ImpactAnalyzer |
| **BUILD** | Automatically register lineage during ETL/pipeline creation | LineageTracker |
| **VERIFY** | Validate that data flows conform to security/privacy policies | LineageGraph Traversal |

PAI agents use the `data_lineage` module to maintain a "mental model" of the data ecosystem. Before modifying a core dataset, an agent will call `analyze_change()` to ensure it doesn't break critical downstream models or dashboards.
