# Uncover root causes with clear, evidence-backed analysis

> Cleric digs beyond alerts to explain why issues happen, using your telemetry and structured reasoning.
>
> Markdown version of https://cleric.ai/solutions/root-cause-analysis for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

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

## What Cleric does

### Deep Investigation

Starts with every alert, building a hypothesis tree to test potential causes against logs, metrics, and traces.

### Transparent Reasoning

Delivers the most likely root cause, a confidence score, and a step-by-step reasoning trail.

### Actionable Output

Sends a clear diagnosis with supporting evidence to Slack or Microsoft Teams, tagged to the right owner.

## How Cleric stands out

### Structured Reasoning

Ranks causes using data-driven logic, not static rules, for reliable results.

### Full Transparency

Shows every step of the investigation for easy validation by engineers.

### High Confidence

Provides evidence-backed answers, so you can act fast with trust.

## Common diagnoses

- Silent degradations
- Memory leaks
- Scaling bottlenecks
- Certificate expiry
- Resource exhaustion (Kubernetes)
- Cluster health issues (Kubernetes)
- Kubernetes config errors
- Controller misconfigurations

## 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