ALM provides AI translation services for organisations looking to translate more content without losing control of quality, terminology or security.
We combine artificial intelligence translation and machine translation technology with translation memory, terminology management, quality assurance and specialist human review. Rather than applying the same solution to every project, we assess the content, audience, languages, intended use and level of risk before recommending the right workflow.
This gives organisations access to the speed and scalability of AI while maintaining appropriate human oversight and quality controls.
What is AI Translation?
AI translation uses artificial intelligence to produce or support translation between languages.
Automated translation itself is not new. Machine translation has been used for decades, while advances in neural machine translation and large language models have significantly improved the quality and flexibility of automated multilingual content.
However, good AI language translation depends on more than the technology producing the first draft.
For professional content, the workflow may also need:
- Approved terminology and glossaries
- Existing translation memories
- Style and brand guidance
- Appropriate AI or machine translation technology
- Specialist human review
- Quality assurance
- Data security and governance controls
ALM brings these elements together within a managed translation workflow.
How Does ALM Use AI for Translation?
The right approach depends on what you are translating and how the content will be used.
A product catalogue, technical manual, internal training programme and regulated document may all benefit from translation technology but they should not necessarily follow the same process.
ALM applies defined guardrails around how and where AI translation is used. We consider:
- Content type and purpose
- Intended audience
- Subject-matter complexity
- Regulatory, operational or reputational risk
- Confidentiality requirements
- Language combination
- Existing terminology and translation assets
- Required quality level
- Volume and turnaround requirements
This allows us to determine where AI can create genuine efficiencies and where greater specialist human involvement is appropriate.
How Our AI-Assisted Translation Workflow Works
Step 1: Content and Risk Assessment
We review your content, languages, intended audience, terminology and quality requirements before recommending the appropriate translation workflow.
Step 2: Linguistic Assets and Context
Approved terminology, glossaries, translation memories, style guides and relevant reference material can be applied to improve consistency and provide useful context.
Step 3: Technology Selection
ALM is technology-agnostic. We select appropriate AI or machine translation technology based on the content and language combination, rather than using the same engine for every project.
Step 4: Specialist Human Review
Where required, professional linguists review and refine the automated translation for accuracy, terminology, context, tone and fluency.
Step 5: Quality Assurance and Delivery
Quality checks are applied according to the agreed workflow. Approved translations, terminology and client feedback can then support future projects, improving consistency and efficiency over time.
Where Can AI Translation Add Value?
AI-assisted translation can be particularly useful for high-volume, repetitive or structured content where terminology and style can be controlled.
Technical Documentation
Manuals, guides, API documentation and release notes can benefit from translation memory, terminology management and AI-assisted workflows. The level of specialist human review should reflect the technical complexity, audience and consequences of an error.
Product Catalogues and Listings
Large volumes of structured product information can be translated efficiently while maintaining agreed terminology, formatting and language patterns across markets.
Marketing and High-Volume Content
Web content, product information, campaign variations and other frequently updated materials can use AI-assisted workflows to increase productivity. Approved terminology, style guidance and customised prompts can help align the initial AI output with the organisation’s brand and content requirements before appropriate human review.
Internal Communications and Training
HR communications, policies, e-learning and training materials can benefit from scalable AI translation where organisations translate large volumes of content accessible across international teams.
Software and Digital Content
Software strings, knowledge bases, support content and regular product updates can benefit from AI-assisted translation combined with terminology controls and content reuse.
Existing AI-Translated Content
If content has already been translated using an AI platform or an organisation’s own AI system, ALM can assess the output and recommend the appropriate level of specialist human review. This may range from post-editing for suitable content to more comprehensive review for higher-risk requirements.
Multilingual Content at Scale
For organisations managing regular content across multiple languages and markets, AI can form part of a wider managed workflow combining translation memory, terminology, automation and specialist human expertise. Explore our Language Operations Suite.
When Is Human Translation More Appropriate?
AI is not automatically the right solution simply because the technology is available.
Some content requires greater linguistic judgement, subject-matter expertise or quality assurance because of the potential consequences of an error.
This can include:
- Safety-critical content
- Regulated or patient-facing documentation
- Sensitive legal communications
- High-impact brand messaging
- Creative campaigns and slogans
- Content requiring significant cultural adaptation
ALM can recommend the right balance of AI, machine translation and specialist human translation depending on the content and intended use.
AI Translation Services from ALM
AI-Assisted Translation
AI and machine translation combined with approved terminology, translation memory and quality controls to create faster, scalable multilingual content with the appropriate level of human oversight.
MTPE & AI Post-Editing
Specialist linguists review and refine machine or AI-generated translations produced within an ALM-managed workflow for accuracy, terminology, context and fluency, with the level of review matched to the content and intended use.
Review of Existing AI Translations
Already translated your content using AI? ALM can assess and review translations produced using your own system or another AI platform.
We consider the quality of the output, intended use and potential risk before recommending the appropriate level of specialist human review. Depending on the content, this may range from post-editing to full specialist review.
Raw AI & Machine Translation
For suitable low-risk content, automated translation without human review provides a faster, lower-cost option.
Multilingual Prompt Engineering
ALM can use your existing content, approved terminology, style guides and brand guidance to create customised language-specific prompts. These help AI systems produce translations which are better aligned with your terminology, tone and content requirements, creating a stronger starting point for the appropriate level of human review.
Workflow Automation & Integration
Connect translation with your CMS, content repositories and other systems to reduce manual processing. Explore our Language Operations Suite for more advanced multilingual workflows.
AI Translation, Security & Governance
AI translation needs appropriate controls around confidentiality, data handling and human oversight.
ALM uses approved business-grade technology and controlled workflows to protect client content. Content processed through ALM’s managed workflows is not used to train public AI models.
Read more about our AI Governance approach and AI Use Policy.
Why Choose ALM for AI Translation Services?
Human Expertise & Quality
- Specialist linguists provide human oversight where required
- ISO 17100 and ISO 9001 certified quality processes
- Review levels matched to the content, audience and risk
Technology & Efficiency
- Technology selected according to your content, languages and requirements
- Translation memory and terminology improve consistency
- Scalable workflows for high-volume multilingual content
Security & Governance
- Business-grade translation technology and controlled workflows
- Defined guardrails around how and where AI is used
- Client content is not used to train public AI models
Discuss Your AI Translation Requirements
Not sure whether AI, MTPE or specialist human translation is right for your content? Speak to our team and we’ll recommend the appropriate workflow based on your content, quality requirements and level of risk.
Frequently Asked Questions
AI translation can be effective when speed, scale and cost efficiency are important, particularly for high-volume or frequently updated content. However, the right approach depends on the content, audience, language combination and consequences of an error.
ALM assesses these factors before recommending a workflow. For higher-risk, regulated, safety-critical or highly creative content, specialist human translation or more extensive human review may be appropriate. For suitable content, AI-assisted translation combined with professional review can deliver significant productivity benefits.
Yes. If you have already translated content using an AI platform, machine translation system or your own custom AI solution, ALM can review the output.
Just because AI-generated translation appears fluent, this does not mean it only requires a quick check. We can assess the source content, translated output, languages, intended use and potential consequences of an error to determine the appropriate level of human review. If the output is good or bad, we will advise next steps.
Depending on quality and risk, this may range from post-editing to full specialist human review. Good-quality AI output can improve productivity and reduce cost, but higher-risk, regulated or safety-critical content may require more extensive review.
Human-in-the-loop AI translation combines AI or machine translation with defined human review rather than relying on automated output alone.
At ALM, the level of human involvement depends on the content, intended use and risk. This can range from post-editing for suitable content to specialist translation and full human review for higher-risk requirements.
The aim is to gain productivity from translation technology while retaining the linguistic expertise, quality control and accountability appropriate to the content.
Machine Translation Post-Editing (MTPE) is the process of having a professional linguist review and edit machine-translated content. A similar approach can be applied to content generated using newer AI translation technologies.
The level of post-editing depends on the quality of the initial output and how the translated content will be used. ALM can assess the content and recommend an appropriate level of review rather than applying the same post-editing process to every project.
The cost depends on factors including content volume, languages, complexity, the technology used and the level of specialist human review required.
AI-assisted workflows can reduce translation costs and improve productivity for suitable content, particularly where translation memory, approved terminology and automation can also be used. However, AI does not automatically make every translation project cheaper. Higher-risk content may require more extensive specialist review and quality assurance.
ALM can assess your content and recommend a workflow that balances cost, speed and the appropriate level of quality control.
Data security depends on the technology and workflow being used. ALM does not use uncontrolled public AI tools for client translation content. We use approved business-grade technology within controlled translation environments. We assess technology and workflows with confidentiality, data handling and intended use in mind. Where AI-assisted translation is appropriate, it can be managed within defined security and confidentiality controls.
Client content is not used as public AI training data.
Yes. AI-assisted translation can form part of a wider multilingual workflow that uses your approved terminology, translation memories, style guidance and previously translated content.
Rather than treating each document as an isolated AI translation, ALM can use these linguistic assets to improve consistency, reduce unnecessary retranslation and support ongoing multilingual content.
For organisations managing regular content across multiple products, languages or markets, these assets can also form part of a managed Language Operations workflow, combining translation technology, automation and specialist human expertise.
Get Your Free Translation Quote Today
Ready to find out how we can help with your project? We just need a few details from you and then we can get started!
Get a Free Quote
