# Automate alert investigations for fast, clear answers

> Cleric dives into your telemetry the moment an alert fires, delivering actionable findings fast.
>
> Markdown version of https://cleric.ai/solutions/alert-investigation for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

Solutions / Alert Investigation. 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 when an alert hits from your observability tools, cloud provider, or CI/CD pipeline.

### Hypothesis-Driven

Builds a tree of possible causes, tests them against logs, metrics, and traces, and rules out noise.

### Clear Deliverable

Sends a concise diagnosis with evidence and next steps to Slack or Microsoft Teams, tagged to the right owner.

## How Cleric stands out

### Thinks Like an Engineer

Uses structured reasoning, not rigid rules, to handle novel issues.

### Fits Your Stack

Works with Datadog, PagerDuty, AWS, GCP, Kubernetes, and more without extra config.

### Transparent Results

Every diagnosis comes with a confidence score and supporting data for quick validation.

## Common alerts handled

- Application error spikes
- High latency
- Distributed system failures
- Failed deployments
- Database issues
- Network bottlenecks
- Ingress and gateway errors
- Kubernetes workload crashes
- Container OOMKills
- Queue processing delays

## 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