Reviewing quality and safety scores

concept brazil Updated Sep 10, 2026 1 min read mon-ai-reviewing-ai-system-scores.md

Determine whether your AI systems are meeting quality and safety targets by reviewing scores and evaluation trends.

Reviewing scores workflow

When evaluations are active and sessions have been scored, start with the monitoring overview to assess performance across your AI portfolio. The overview provides score cards, AI-generated insights, trend data, and ranked lists of AI systems so you can identify which systems need attention.

When you identify a system that needs closer review, select the Monitor tab on the AI system's asset page to see scores, metric breakdowns, trends, and evaluated sessions scoped to that system alone. See Monitoring an AI system.

Monitoring overview
Identify low-scoring AI systems quickly by reviewing quality and safety scores, AI-generated insights, and performance trends across your AI portfolio.
Review scores across your AI portfolio
Assess the quality and safety of your AI systems by reviewing scores, identifying low-scoring systems, and learning which metrics are affecting each score.

Parent Topic:Monitoring and evaluating AI systems in AI Control Tower

Keywords ServiceNow OttoAI Agentsgenerative AIagentic AIuse

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---
title: Reviewing quality and safety scores
description: Determine whether your AI systems are meeting quality and safety targets by reviewing scores and evaluation trends.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/mon-ai-reviewing-ai-system-scores.html
release: brazil
topic_type: concept
last_updated: "2026-09-10"
reading_time_minutes: 1
keywords: [ServiceNow Otto, AI Agents, generative AI, agentic AI, use]
breadcrumb: [Monitoring and evaluating AI systems, Monitor AI assets, AI Control Tower, Establishing AI governance, Enable AI Experiences]
---

# Reviewing quality and safety scores

Determine whether your AI systems are meeting quality and safety targets by reviewing scores and evaluation trends.

## Reviewing scores workflow

When evaluations are active and sessions have been scored, start with the monitoring overview to assess performance across your AI portfolio. The overview provides score cards, AI-generated insights, trend data, and ranked lists of AI systems so you can identify which systems need attention.

When you identify a system that needs closer review, select the **Monitor** tab on the AI system's asset page to see scores, metric breakdowns, trends, and evaluated sessions scoped to that system alone. See [Monitoring an AI system](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mon-ai-asset-monitor.md).

-   **[Monitoring overview](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mon-ai-monitoring-overview.md)**  
Identify low-scoring AI systems quickly by reviewing quality and safety scores, AI-generated insights, and performance trends across your AI portfolio.
-   **[Review scores across your AI portfolio](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mon-ai-review-scores-task.md)**  
Assess the quality and safety of your AI systems by reviewing scores, identifying low-scoring systems, and learning which metrics are affecting each score.

**Parent Topic:**[Monitoring and evaluating AI systems in AI Control Tower](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mon-ai-landing.md)