You used AI to translate - now use us to post edit

Many organisations now use in‑house AI tools such as Copilot, ChatGPT, or Microsoft Translator to generate first‑draft translations. This can be a smart way to speed up workflows, if you introduce the right checks such as post-editing by an expert.

Learn the secrets of creating an AI translation process that is both efficient and capable of delivering high‑quality results your people trust.

1. If you’re using your own AI to translate content

This approach gives you speed and control, but the quality and reliability depend on what happens after the machine output is produced. Here we provide a few ways you can enhance your AI output:

Provide the original source text alongside the AI output

This allows linguists to evaluate meaning properly and avoid hidden errors, bias or AI hallucinations. Guildhawk teams highlight that content (such as academic or technical text) often still requires a linguist to guarantee accuracy.

Avoid mixing outputs from multiple AI engines

Combining Copilot with ChatGPT or others increases inconsistency and makes human review slower.

Make clear which sections are high risk

Legal, safety‑critical or compliance‑sensitive text always needs deeper professional verification because consumer AI models can introduce subtle inaccuracies that appear to be true. This aligns with guidance from LLM providers advising caution when uncontrolled AI tools are used for sensitive content.

Share context, terminology, and previous translations

Even when AI has done the first pass, it’s best to have certified human reviewers test AI outputs against your reference materials for consistency.

When this model works well

• Drafts or exploratory translation to give you a gist
• Internal documents not for publication
• Medium‑risk content
• Situations where speed is more important than perfection

2. If you prefer to use a more advanced AI system with optional human review

Some clients choose an AI solution like GAI Translate that is designed for higher accuracy and enterprise use and then bring in linguists only when needed. Here are some ways to make sure you receive high quality translation:

Use AI translation tools that are trained on verified data

Remember, AI models built on unverified or mixed training data tend to produce poorer outputs and require heavier post‑editing, whereas disciplined data‑labelling processes like those used to train GAI increase accuracy.

Take advantage of specialist glossaries or terminology controls

Tools that learn your preferred vocabulary reduce the amount of post‑editing required. Systems like GAI are specifically developed to continuously learn your terminology and add approved edits to your glossaries.

Use AI for volume; use experts for precision

Many organisations are using machine learning tools to translate internally at scale and then escalate only the parts requiring human judgement or certification.

When this model works well

• Regular high‑volume translation for OSINT research and KYC checks
• Teams that want in‑house speed with optional expert escalation
• Scenarios where ISO:27001 certified security controls and consistency matter

3. If you prefer a fully managed human in the loop service

Some content simply needs a complete end‑to‑end service, especially when:

• Document file sizes are over 25MB and cannot be managed by LLMs
• Documents formats are complex (e.g., InDesign, multimedia)
• Translated deliverables must be certified or sworn
• The project includes localisation, formatting, multimedia or production tasks
• An insurance-backed service is needed because the accuracy stakes are high

Best practice dictates this managed service route when AI translation is not suitable, you do not have internal staff with language skills, formats are complex or certification is required.

A managed translation service can be either full human or a hybrid of AI and human depending on the expertise of your chosen language partner. With Guildhawk, this option gives you complete oversight, professional accountability, and consistent quality under formal ISO:9001 and ISO:27001 certified quality and data security management procedures.

So, how do you decide what’s best for your organisation? Here’s a quick guide based on priorities:

The best options to verify your translations

Creating the AI workflow that works best for you

AI is a powerful accelerator for translation, but it becomes truly trustworthy only when paired with professional human oversight.

Whether you use your own AI tools and in-house linguists or prefer a structured AI‑plus‑expert service like GAI Translate, the secret to guaranteeing consistent high quality with full audit trails is to establish a workflow where human reviewers post-edit outputs in the most efficient, effective and secure manner. The choice is yours.

If you would like to learn more about your options and the latest trends in human centric AI solutions, please give us a call.