> ## Documentation Index
> Fetch the complete documentation index at: https://docs.elevatedsignals.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Governance & Review Queue

> Where humans review and decide on AI-proposed actions.

AI agents work continuously in the background — proposing merges, flagging anomalies, and surfacing
data quality issues. This is where humans review and decide.

## Quality Metrics

Pricing completeness, forecast coverage, and open review count — the three pillars of data governance
health. High percentages mean the data foundation is trustworthy; open reviews are the "to-do list" for
maintaining quality. Keep open reviews low — each accepted suggestion improves the overall data quality
score.

## Review Queue

AI-proposed actions waiting for human approval: material merges, pricing anomaly flags, and data
quality improvements. This is the "agents as co-workers" model — the AI does the analysis and proposes
actions; planners make the final call with full context and confidence scores. Review each suggestion:
accept to apply, reject to dismiss. Every decision is logged.