
Expertise is the one thing in a regulated workflow that gets more valuable the longer you keep it.
This month, our four specialists show you how: a new white paper mapping what compliance-first localization requires across governance, process and evidence. Trusted documentation delivering measurable business results across automotive and technical industries. Specialized expertise paired with AI creating compliance value no tool can deliver alone. And domain knowledge ensuring that AI-assisted workflows produce regulatory equivalence, not just fluency.
Each section explores what it means to build organizations where expertise compounds.
The Intertranslations Team
Multilingual Compliance is a Control, Not a Vendor Relationship

Most regulated organizations have solid controls over their source documentation. Change control, approval workflows, traceability, version history. Then the content goes out for translation, and those controls quietly stop at the language boundary.
The gap usually becomes visible in one of three moments. An inspection asks how multilingual content is verified. A notified body questions the translation methodology. Or a post-launch correction reveals that the framework never extended to the translated file.
Our new white paper sets out what compliance-first localization looks like in practice: who owns the risk, what evidence to keep from day one, and what auditors actually ask when they get to the translated documentation.
Download the white paper: Multilingual Compliance in Regulated Industries
Trusted Documentation Delivers Measurable Business Value

Translation budgets are easy to approve. The value of trusted documentation is much harder to quantify, which is exactly why the organizations seeing the greatest returns treat it as a core business asset.
When engineers, technicians, trainers and compliance teams trust the information in front of them, they spend less time validating terminology, checking source files or seeking clarification.
That confidence is measurable. One global automotive manufacturer reduced translation costs by 67%, improved time-to-market by 70% and halved its translation error rate through automation, translation memory and terminology management.
The same pattern repeats across every organization that invests in terminology management, version control and quality frameworks.
Discover how trusted documentation delivers measurable business results.
Specialized Expertise and AI Create Compliance Value

A specialized 70-billion-parameter model built for financial documents recently outperformed GPT-4o on real bank translations, tested against actual business data rather than generic benchmarks.
That difference matters more in finance than almost anywhere else. Regulatory terms, exact numbers and consistent wording across jurisdictions are not style choices. They are the line between a clean disclosure and a compliance problem.
AI translation is already the most common AI use in customer communications across financial services, and the rules keep getting stricter. Jurisdiction-specific disclosures and multilingual compliance documents are the baseline now, not optional extras.
Generic AI got us part of the way. Closing the rest of the gap takes something else.
Explore how specialized expertise and AI create measurable compliance value.
Domain Expertise Ensures AI Creates Regulatory Value

Which document element still requires the most human judgment?
AI speeds up drafting and flags terminology inconsistencies across language versions. A warning in an IFU is never just a sentence to translate correctly. It is tied to a specific risk in the risk management file and must remain clinically and legally equivalent in every target language, not only linguistically accurate.
AI can produce a fluent translation that is still wrong in regulatory terms, because it has no visibility into the risk file behind the sentence.
There is one specific check worth adding to the workflow, and it is what separates regulatory equivalence from linguistic fluency.
Learn how domain expertise ensures AI creates regulatory value.
