Use automation where the consequences are understood
High-volume, repetitive or low-risk content may benefit from automated assistance when terminology, evaluation and human review are defined.
AI & HUMAN OPTIONS
Choose the production model, then define the guardrails
Human-only translation, machine translation with post-editing, AI-assisted human work and more automated low-risk workflows are different operating models. Select one according to consequence, confidentiality, evaluation evidence and the level of human responsibility required.
Designed for real-world use
Digital content needs language, interface, context and release workflow to work together—not translation in isolation.
Five decisions that define responsible automation
Choose automation according to content risk, confidentiality, evaluation evidence and where human accountability must remain.
Keep high-consequence decisions under human responsibility
Legal effect, medical safety, regulated claims, certification, nuanced brand voice and ambiguous source material can require specialist human judgment.
Control confidentiality before sending content to a model
Confirm whether the project permits machine translation, generative AI or external services and what data-handling terms apply.
Evaluate output against the actual use
Fluency is not enough. Review factual meaning, omissions, terminology, numbers, instructions, named entities and any content-specific risk.
Treat AI output as untrusted until reviewed
Generated wording can be plausible and wrong. The workflow should make final responsibility explicit instead of assuming that confident language is correct.
Need to choose between human-only and assisted workflows?
Send representative content, confidentiality constraints, intended use, volume and the level of error the project can tolerate.