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How we helped an international company cut translation costs by 60% with LLM integration

The client, an international company operating in multiple markets, faced a persistent challenge with translation management. Despite using a well-known automated translation tool, their operational costs for billing translations were excessive, and the text quality often required manual adjustments.

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How we helped an international company cut translation costs by 60% with LLM integration

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The project

Our client, an international company operating in multiple markets, faced a persistent challenge with translation management. Despite using a well-known automated translation tool, their operational costs for billing translations were excessive, and the text quality often required manual adjustments. They reached us: because they sought a cost-effective and flexible translation system capable of delivering natural and context-aware results without compromising quality.

How we helped an international company cut translation costs by 60% with LLM integration

The client's goal was simple: to reduce translation expenses while maintaining and even improving text fluidity and accuracy.

Challenge

High translation costs and limited customization options with the previous provider made scaling difficult. The team needed a more efficient, adaptable, and affordable system that could integrate with existing tools.

Solution

We proposed replacing the existing translation service with a Large Language Model (LLM) solution. After testing, we integrated ChatGPT as the translation engine, introducing:

  • A prompt-based system to ensure smooth, contextually accurate translations.
  • A custom admin dashboard to monitor translation results, edit prompts, and review failures in real time.
  • A seamless integration layer allowing easy replacement of words, phrases, and terminology rules.
How we helped an international company cut translation costs by 60% with LLM integration

Process & Development

  1. Analysis & Integration: We evaluated the client’s previous translation workflow and identified the cost bottlenecks and technical dependencies.
  2. LLM Implementation: ChatGPT was implemented as the new translation backend, allowing dynamic prompts for each language pair.
  3. Admin Dashboard Development: We built a management dashboard enabling the client’s internal team to visualize results, fine-tune prompts, and track translation performance.

Key Features

  • Prompt-based Translation Logic: Create, edit, and optimize prompts for natural-sounding text.
  • Centralized Dashboard: Monitor translation results and system status in one place.
  • Automated Quality Checks: Identify failed translations or inconsistencies automatically.
  • Scalable LLM Integration: Easy to expand to new languages or text types.
How we helped an international company cut translation costs by 60% with LLM integration

Business Outcome

  • From idea to launch: Delivered the new translation system in under 3 months.
  • Impact: Reduced translation costs by an estimated 60–70%, while improving text fluency.
  • Tech advantage: Enabled prompt engineering and performance monitoring, giving the client full control over translation quality.