# Filter noise for critical incident triage

> Cut noise with fast, automated incident triage.
>
> Markdown version of https://cleric.ai/solutions/incident-triage for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

Solutions / Incident Triage. Cleric is an autonomous AI SRE that helps engineering teams quickly diagnose production issues in complex cloud-native environments.

## What Cleric does

### Instant Filtering

Blocks false positives and correlates alerts across systems using logs, metrics, and traces.

### Confirmed Issues

Escalates only critical incidents, with likely cause and next steps included.

### Clear Delivery

Sends findings with evidence to your messaging app, tagged to the responsible engineer.

## How Cleric stands out

### Eliminates False Alarms

Filters out noise to reduce unnecessary escalations.

### Cross-System Correlation

Links related alerts to avoid redundant notifications.

### Actionable Context

Delivers each incident with cause and fix guidance.

## Common incidents handled

- Application errors, slowdowns, and memory issues
- Kubernetes and infrastructure failures
- Microservice failures and distributed tracing issues
- Deployment and job failures

## Your AI SRE is ready for duty

Cleric investigates every alert like your most experienced engineer: always available, always contextual, ready in Slack or Microsoft Teams.

- Connects metrics, logs, and changes instantly
- Identifies root causes with ranked evidence
- Learns and maps your systems over time
- Remembers past incidents to solve new ones

- Start free trial: https://cleric.ai/start
- Explore the product: https://demo.cleric.ai
- Book a demo: https://cleric.ai/demo