# Automate on-call response to slash burnout

> Cut toil with automated on-call findings.
>
> Markdown version of https://cleric.ai/solutions/on-call-automation for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

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

## What Cleric does

### Instant Analysis

Kicks off the moment an alert fires, testing hypotheses against logs, metrics, and traces.

### Clear Findings

Shares the most likely cause, confidence score, and supporting evidence in your messaging app, tagged to the responsible engineer.

### Noise Reduction

Filters out irrelevant alerts, escalating only what needs your attention.

## How Cleric stands out

### Cuts Alert Fatigue

Prioritizes critical issues, reducing unnecessary pages.

### Head Start on Fixes

Delivers diagnoses early, so you focus on resolving, not investigating.

### Full-Stack Coverage

Handles app, infrastructure, and Kubernetes issues seamlessly.

## Common issues handled

- Application and infrastructure alerts
- Silent degradations and latency issues
- Deployment and job failures
- Queue and async processing bottlenecks

## 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