# Make on-call suck less

> Cleric investigates like an SRE, cutting alert noise and burnout with fast, reliable diagnoses.
>
> Markdown version of https://cleric.ai/solutions/for-sres for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

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

## What Cleric does

### Instant Analysis

Takes the first pass on every alert, sweeping your stack to save hours of manual log digging.

### Hypothesis-Driven

Builds a ranked list of likely causes, testing them against logs, metrics, and traces to filter noise.

### Clear Deliverable

Delivers a concise diagnosis with evidence and fix recommendations (e.g., adjust resource limits) to Slack or Microsoft Teams, tagged to the right SRE.

## How Cleric stands out

### Starts with Full Context

Pulls from observability tools, cloud APIs, and prior incidents to start ahead, not from scratch.

### Reduces Tool Sprawl

Consolidates insights from Datadog, PagerDuty, and more, eliminating tool-hopping.

### Meets SLA Pressure

Delivers high-confidence diagnoses fast, helping you resolve incidents within tight SLAs.

## Common outcomes

- MTTR reduced to minutes with automated, evidence-backed investigations
- Less alert fatigue, freeing you for proactive reliability work
- Every escalation backed by clear reasoning and specific next steps

## 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