How a Product Team Scales Content Localization with an AI Translation Workflow

As the company expanded into more global markets, content localization quickly became a growing part of the team’s daily work.

Gary, who manages multilingual content for product pages, marketing materials, and the company website, was responsible for making sure every piece of content was accurately localized across languages.

At the same time, the team had begun using GoInsight.AI internally to automate different workflows. Gary started exploring whether it could also streamline the company’s content localization process.

That experiment eventually evolved into a structured AI localization workflow used across the team.

Localization results, by the numbers

• 70% faster turnaround time for multilingual content
• $35,000+ saved in translation costs
• 10 supported languages (expanded from 7)
• 20% reduction in manual translation-related work

Rethinking the content localization process

For a long time, the team relied on an external translation platform to handle the workload. But the process wasn’t always ideal. Turnaround times depended on translator availability, communication often stretched across time zones, and terminology had to be managed manually.

"Sometimes even a single page translation could take a full day to come back," Gary explained. "And when different translators worked on different pieces of content, keeping terminology consistent became really challenging."

With more content being produced every month, the team knew the existing approach wouldn’t scale. That’s when Gary began exploring how the team could use GoInsight.AI to build a workflow that could automate large parts of the content localization process while still maintaining translation quality.

Here's how the workflow works:

• The workflow first imports and checks terminology against predefined language references to ensure key terms are translated consistently.
• Next, a large language model generates a fluent translation while preserving the original meaning and context.
• The translation then undergoes an additional round of automatic proofreading to enhance readability and ensure that the tone aligns with the original text. The final result is a polished, ready-to-publish draft.

"The goal wasn’t just faster translation," Gary said. "We wanted a system that could maintain terminology consistency while scaling our content localization efforts."

The result is a repeatable localization workflow that allows the team to translate product and website content quickly while maintaining linguistic quality and brand consistency.

Reducing translation costs by over $35,000

Before building the workflow, the team relied on a third-party translation platform that charged roughly $0.08 per word. Translating a single website page could cost $200–$300, and costs quickly added up as more content needed localization.

By moving the translation process into an automated workflow powered by GoInsight.AI, the team significantly reduced their reliance on external vendors.

The impact was immediate:

"We realized that many parts of the translation process could be standardized and automated," Gary said. "Once we built the workflow in GoInsight.AI, the savings became very clear."

Instead of paying per word for every translation task, the team now runs a scalable AI-driven content localization workflow that produces high-quality translations at a fraction of the previous cost.

Expanding language coverage without extra workload

Beyond cost savings, the workflow also made it much easier for the team to expand their content localization coverage.

As a result, the team was able to quickly scale from 7 supported languages to 10, adding Vietnamese, Turkish, and Polish without increasing the localization team’s workload.

This helped the team:

"Once the workflow was in place, adding a new language became surprisingly simple," Gary said. "We’re no longer rebuilding the process every time, we’re just extending the system."

Building scalable systems with AI

What started as a workflow to improve content localization has quickly become a model for how the company approaches operational efficiency.

By building the translation pipeline inside GoInsight.AI, the team didn’t just reduce costs, they created a scalable system for managing multilingual content as the company continues expanding into new markets.

As more teams explore automation inside GoInsight.AI, workflows like this are helping turn everyday processes into reliable systems that scale across the entire organization.

"GoInsight.AI makes it surprisingly easy to build workflows like this," Gary said. "It’s flexible, intuitive, and powerful enough to handle something as complex as multilingual content localization."

Share: