Solution: AI translation workflows
You serve customers in many languages and struggle to keep up
Translate websites, products and help content quickly with AI, using your own glossary and tone, and send the content that matters most to native speakers for review.
Sounds familiar?
Signs this is costing you time
Customers prefer to read and buy in their own language. But translating every page, product and help article is slow and expensive with traditional agencies, and keeping translations up to date as content changes is even harder. So most sites translate a few pages and leave the rest in English.
Machine translation has improved a lot, and large language models can now translate with context, tone and your terminology. Used carelessly, they still produce awkward or wrong text.
A translation workflow combines AI speed with human judgment: AI translates everything consistently, and people review what matters most.
The result is more content in more languages, kept current as the source changes, at a fraction of the effort of fully manual translation.
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Only part of your site or product is translated.
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Translations fall out of date whenever the original changes.
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Product names and key terms are translated inconsistently.
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Agency translation of everything is too costly and slow.
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Support staff answer customers in languages they do not speak well.
Before and after
How it works today, and how it works after
How it works today
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Content is exported and sent to translators.
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Translations come back weeks later.
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Updates to the original are not tracked.
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Terms vary between translators and pages.
How it works after
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New and changed content is translated automatically.
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A shared glossary keeps names and key terms consistent.
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High-impact pages go to native speakers for review.
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Translations publish to your CMS or app with clear status.
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Support replies can be translated both ways for agents.
What we build
What we build
Glossary and style guide
AI translation
Change detection
Review workflow
CMS integration
Multilingual SEO
In practice
What it looks like in practice
An illustrative walk-through, not a client story.
A travel company sells tours to customers in English, German and Spanish, but only its home page and booking pages were translated. Tour descriptions changed every season and were never updated in the other languages.
Now, when a tour description is edited in English, the workflow translates the change into German and Spanish using the company's glossary of place names and tour terms. Booking pages and legal terms go to native-speaking reviewers before publishing; tour descriptions publish immediately and are spot-checked each week. The full catalog is now available in all three languages and stays current.
Models and tools
AI models and MCP servers that usually fit
We choose models by task, data sensitivity and cost, and test them on your real examples before we commit. These are common starting points, not a fixed recipe.
How we build it
The services behind this solution
Most solutions combine two or three of our services. These are the ones this one usually needs.
LLM integration
Add a large language model to software you already have, with the guardrails, costs and logging handled.
Headless CMS
Content managed in one place and published to your website, app and other channels through an API.
AI workflows
Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
Industries where it fits best
Honest limits
Limits and human checks
AI translation is very good for many language pairs, but it can still miss nuance, cultural context or legal precision. Legal terms, safety information, medical content and brand slogans should be reviewed by native speakers. We define which content types need review and which can publish directly.
Quality varies between languages. Widely used languages usually translate well; less common ones need more review. We test sample translations with native speakers before scaling up.
Translation also affects search. Each language version needs proper metadata and language tags, which we set up so translated pages can rank in local search.
Keep exploring
Services, industries and case studies
Related services
View all related services- LLM integration Add a large language model to software you already have, with the guardrails, costs and logging handled.
- Headless CMS Content managed in one place and published to your website, app and other channels through an API.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- App store launch Store listings, review requirements, test builds and release management for the App Store and Google Play.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- AI copilots AI helpers built into your product or internal tools that draft, summarize and suggest while people decide.
Solutions
View all solutions- AI-assisted content workflows Briefs, first drafts, edits and repurposing in a workflow where people set the angle and approve every word.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- Screening assistant Summarize each application against your criteria, flag strong matches and missing information, and leave every decision to a person.
Industries
View all industries- Ecommerce Online stores, product data cleanup, support assistants, price monitoring and order automation for online retailers.
- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Education and elearning Course platforms, student portals, content workflows and AI tutoring assistants for schools and training companies.
- SaaS and startups MVPs, subscription billing, AI features, multi-tenant platforms and scaling support for founders and product teams.
- Insurance Claims intake, document and photo processing, policy knowledge assistants and customer portals for brokers and insurers.
- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
Case studies
View all case studiesGuides and articles
View all guides and articles- How to choose an AI model for your business A step-by-step way to pick an AI model by testing candidates on your own tasks, data rules and budget.
- How to keep customer data safe when using AI Practical steps to protect customer data when you use AI services, from data terms to access and logging.
- AI-accelerated development How ExecMedia uses AI to build software faster and at lower cost: where AI helps, where people decide, and how it compares with a traditional process.
AI models
View all ai models- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
- Claude Sonnet 5 Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
- Gemini 3.1 Pro Google's most advanced Gemini model for reasoning, software engineering and agent work, reading text, images, audio, video and PDFs. Available as a preview.
- GPT-6 Sol The middle model of the GPT-6 family, positioned for complex coding and agentic workflows at a mid price level.
- ElevenLabs Eleven v3 ElevenLabs text-to-speech: the expressive Eleven v3 in 70+ languages, a real-time conversational version, and the low-latency Flash models, with voice cloning.
- Qwen3.8-Max Alibaba's current Qwen flagship for long autonomous coding and professional work, with image and video input, tool calling, JSON Schema output and a 1 million token window.
MCP servers
View all mcp servers- Files and storage Servers that connect AI to cloud drives and object storage, so it can find, read and organize documents.
- Google Drive Google's own Drive MCP server lets AI search, read and create files in Google Drive, with your Google Workspace sign-in.
- Notion Notion's official hosted MCP server lets AI search and read pages, create and update pages and databases, query data and add comments.
- Canva Canva's official MCP server lets AI search, create, resize, export and comment on designs, upload assets and use brand kits.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Slack Slack's own hosted MCP server lets AI search messages, read channels and threads, look up people, draft or send messages and create canvases.
Glossary terms
View all glossary terms- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Natural language processing Natural language processing is the field of AI that deals with understanding and generating human language, in text or speech.
- Prompt engineering Prompt engineering is the practice of designing, testing and improving prompts so AI models produce reliable results for a specific task.
- Headless CMS A headless CMS is a content management system that stores and edits content but delivers it through an API, leaving the design to a separate frontend.
- SEO SEO, or search engine optimization, is the work of making a website easy for search engines to understand and useful enough to rank for the searches your customers make.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
FAQ
Questions about AI translation workflows
Have a question that is not here? Ask us directly.
For many languages and content types, yes, especially with a glossary and review of high-impact pages. Legal, medical and brand-critical text should always be reviewed by native speakers.
Yes. Changes to the original are detected and translated, and reviewed where your rules require it. See headless CMS.
Most widely used languages translate well with current models. We test your specific languages before committing and adjust review levels accordingly.
Yes. Incoming messages can be translated for agents and replies translated back, with the original kept for reference. See LLM integration.