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Teaching AI Your Company's Rules: How Custom Model Training Works

2026-06-036 min read

The problem with generic AI

ChatGPT is brilliant. But ask it to write in your brand's voice, and it sounds like... ChatGPT. Ask it to review code against your company's internal standards, and it gives generic best practices. It doesn't know YOUR rules.

What custom AI training means

We take a general AI model and teach it your specific knowledge:

  • Tone of voice. How your brand speaks. Formal or casual? Technical or simple? We feed it examples of your best content until it sounds like you.

  • Business rules. Your policies, procedures, decision trees. The AI learns when to approve, when to escalate, what's allowed and what's not.

  • Domain expertise. Your industry knowledge, product specs, FAQ history. The AI becomes an expert in YOUR field, not just a generalist.

    • Real example: Code review for an IT company

    An IT company came to us with a problem: they had patented algorithms and strict internal coding standards, but junior developers kept making the same mistakes. Senior devs spent hours every week reviewing code.

    We trained an AI model on:

  • Their patented algorithm implementations - Internal coding style guide (200+ pages) - 3 years of code review comments from senior devs - Examples of good and bad code

    • The result: The AI reviews every pull request before a human sees it. It catches 85% of standard violations, suggests fixes in the company's style, and even explains WHY the rule exists. Senior devs now spend 70% less time on routine reviews and focus on architecture and mentoring.

    How the process works

    1. Knowledge collection. We gather your documents, examples, and rules. Brand books, style guides, training materials, past decisions.

    2. Data preparation. We clean and structure the data so the AI can learn from it effectively.

    3. Training. We fine-tune the model on your data. This isn't just "uploading documents" — it's teaching the AI to reason using your knowledge.

    4. Testing. We test with your team. They use it, find gaps, we adjust. Usually 2-3 rounds of refinement.

    5. Deployment. The trained model goes live — integrated into your workflow (Slack, email, CRM, or a custom interface).

    Common questions

    "Can it replace our experts?" No, and it shouldn't. Think of it as a first filter. It handles the routine 80%, and your experts focus on the complex 20%.

    "Is our data safe?" Yes. We can run models locally (on your servers), or use private cloud instances. Your training data never goes to OpenAI or anyone else.

    "How long does training take?" Typically 2-4 weeks from data collection to deployment. Depends on data volume and complexity.

    Cost

    Custom AI model training starts from EUR 3,000-5,000, depending on data volume and integration complexity. But if it saves even one senior employee 10 hours a week, the ROI is massive.

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