---
title: 'Knowledge base'
description: 'How confirmed resolutions become reusable knowledge-base articles that the system recommends automatically during execution.'
section: 'Operations Center'
weight: 11
related:
  - operational-issues
  - ai-intelligence
---

import Image from '@/components/docs/Image.astro';

Every confirmed resolution can be converted into a knowledge base article.

The Knowledge Base is part of the Operational Workflow, and the system uses it automatically.

## Knowledge Lifecycle

```mermaid
flowchart TD
  A["Operational Issue"] --> B["Confirmed Root Cause"]
  B --> C["Verified Resolution"]
  C --> D["Knowledge Article"]
  D --> E["Recommendation"]
  E --> F["Reuse"]
```

## Article Structure

Each article contains:

- a description of the problem;
- the canonical issue;
- symptoms;
- required checks;
- the confirmed root cause;
- the sequence of actions;
- photographs;
- links to documentation;
- equipment versions;
- applicability;
- a change history.

<Image
  src="/images/operations-center/25-kb-article-light.webp"
  srcDark="/images/operations-center/25-kb-article-dark.webp"
  alt="Knowledge-base article page showing the problem description, symptom list, step-by-step solution, originating issue and success statistics."
  caption="Knowledge-base article: symptoms, solution steps, origin and automatically computed success statistics"
  width={1440}
  height={900}
/>

## Automatic Recommendations

When an Issue is opened, the system automatically suggests:

- similar cases;
- previously confirmed resolutions;
- manufacturer instructions;
- internal regulations;
- related articles.

The engineer always makes the final decision independently.

## Knowledge Effectiveness

For each article, the system calculates:

- the number of applications;
- the success rate;
- the average MTTR reduction;
- the number of reuses;
- the user rating.

This allows the organization to gradually build the most effective operational practice.