Teneo Linguistics Company blog

Making the Process of Translation Visible (and Defensible)

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Wed, 11 Mar 2026 13:55:29 GMT

They say that no one, absolutely no one, will read and study written word as deeply as a translator does. It is one of the things that has always made translation a very special job for me. The need to always learn, seek thorough understanding, and stretch into new places.

I remember what it felt like the very first time we were asked to translate content for an FDA submission years ago. The translation had to do with documentation coming from an EU country where a veterinary medicines company conducted clinical research. It was to support the company’s application for the FDA’s approval in the U.S. market.

We were looking at the collection of files that, together, told the story of how clinical research was accomplished, and we were pretty much in awe. First, the sheer volume was overwhelming. That, coupled with a non-negotiable deadline (causing delays in the time-to-approval and time-to-market timeline can cost the company millions of dollars), was intimidating enough.

But the more we pored over materials, the more we realized the gravity of the task. This translation wasn’t just about the words. It was a detailed account of every step that led to the conclusions. Calibration notes, equipment logs, operator IDs, receipts, and even hand scribbles were included - all evidence that the study happened, how it happened, and whether it happened under specific controls.

Regulators don’t just want to know what the study found; they want to know that the study was conducted, documented, and interpreted under transparent, auditable processes and that it followed very specific “rules of engagement”.

Now, shift the lens to the process of translation. The deliverable was a “mirror” translation. Think of an open book where the page on the left is the original, and the page on the right is the translation.

The content, as well as the placement of the individual elements (such as images, seals, signatures, etc.) in the translation, match the original exactly. It required the application of not just the standard translation workflows, but also a heavy dose of graphic design and Desktop Publishing (DTP).

In regulated contexts, the translated text is not just a final product; it’s an equal part of the evidentiary package, of equal importance. The gravity of the situation is that if we somehow messed up the translation, the resulting denial and/or delay in the approval would have cost the company millions.

Much like the process of the clinical research, our own process moves through a well-constructed, documented, and hence, auditable process. We do this for our own benefit, most of the time. Our clients seldom ask for any evidence of quality control or if a process was followed. At most, they will request a Certificate of Accurate Translation.

My point is that clients in regulated industries should ask their Language Services Providers to make the translation process visible. Otherwise, they can assume the worst: that controls, sources, approvals, and decisions behind the words are undocumented or unverifiable. That Google Translate was used, instead of a qualified human translator working in a secure environment.

The parallel is powerful: what regulators expect from the lab bench, they should also expect from the translation bench.

Why evidence matters and why translation as evidence should matter, too:

Evidence is provenance. In the lab story, every artifact proves what happened and when. In translation, every decision - who translated, who reviewed, what reference was used, and how terminology was chosen - supports the integrity of the text and its regulatory compliance.

Evidence is traceable. Regulators require a chain of custody from raw data to the final report. Likewise, a defensible translation requires traceability from source documents to translated text, including version history, source references, and rationale for wording.

Evidence is auditable. The lab example demonstrates auditable workflows with timestamps, approvals, and change logs. Translation should have the same auditable backbone: who approved, when, why, and under what policy.

Evidence is governed. The lab world uses asset ownership, access controls, and change-management. The translation world benefits equally from governance: linguistic assets are owned by a responsible party, there are controlled workflows, and documented AI usage.

If regulators can audit a lab bench, our customers should be able to audit the translation bench that is heavily influencing their regulatory outcomes, too. A defensible translation process provides a complete evidentiary trail that demonstrates provenance, traceability, and governance for every word.

The lab story isn’t merely an illustration for clinical trials; it’s a universal lens for regulated industries.

When translation is treated as evidence, you don’t just improve linguistic quality; you enable customers and regulators to see exactly how every decision was made, by whom, and under which controls.

To help you turn translation into regulator-ready evidence, we’ve created a downloadable Translation Defensibility Checklist. This practical resource outlines key points to cover, such as governance, AI disclosures, source references, change histories, and regulator-required audit trails.

When Language Errors Become Governance Failures in Regulated Industries

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Wed, 11 Feb 2026 15:56:09 GMT

I’ve worked in the language industry for more than 30 years. Sometimes I can feel like a dinosaur, but really, I just feel experienced.

The language industry has changed significantly, especially with new technologies. Lately, it feels like that’s all anyone talks about.

But what is being left out of the conversation are the details. And it is true about translation, perhaps more than anywhere else, that the devil is in the details.

Errors are a natural part of translation. It’s always been a human task, and people aren’t perfect. Unfortunately, AI isn’t perfect either.

So, imperfections and errors do happen. A slight shift in meaning here. An ambiguous phrase there. A missed opportunity for a culturally and linguistically appropriate adaptation. So, in almost every context, we expect them to happen, and we have (so far) been able to rely on the fact that somehow, someone will “catch them” in the end.

That approach might work in some settings, but it’s not enough for regulated, high-stakes environments. In those cases, errors often point to larger issues, such as gaps in governance.

The old assumption: language comes at the end

In the past, multilingual content was usually considered late in the process. That was actually the best case, since at least someone planned for the content to be translated after it was drafted and approved.

At worst, translation was not considered at all. When that happened, there were not only timeline problems but also budget issues.

When problems came up, like a client complaining about a translation, we often blamed the usual suspects: tight deadlines, insufficient context about the audience or intent, mistakes in the original text, or errors from the client’s reviewer, who is rarely a trained linguist.

Sometimes these reasons are true, but often they’re just symptoms, not the real problem. When language is key to compliance, safety, or public trust, treating it as an afterthought doesn’t make sense.

What Changes When Language Becomes Mission-Critical

In regulated settings, language is more than communication. Getting it right becomes as important as providing evidence.

For example, translated content explains clinical trial results to regulators, informs patients about health risks before surgery, and reminds employees about safety instructions.

In this context, an error isn’t just a quality issue to fix at the end. It’s a sign of a governance problem that raises bigger questions, such as:

• Who is accountable for the accuracy of this message across languages?
• Who validated the message, and how does the message land with different audiences?
• Who set the rules for what tools could or could not be used and at what point(s) of the translation workflow?
• Who signed off, and on what basis?

If those answers are missing or unclear, the issue is with the system, not just the language.

Where Language Governance Breaks Down Most Often

We see these same patterns in life sciences, education, and the public sector. The most common issues are:

Language decisions are made informally
Teams often rely on memory – “this is how we’ve always done it” - and personal judgment instead of clear rules. This works until people change roles, teams grow, or the stakes get higher.

Technology outpaces policy (every time)
Many quickly adopt machine translation and AI tools to save time or money, but they don’t set clear boundaries. No one defines when automation is okay, when human review is needed, or how to assess risk.

Ownership is scattered
Legal, compliance, operations, procurement, and vendors all handle multilingual content, but often no one owns the whole process from start to finish.

A review is a box to check
Bilingual reviewers are often asked to “take a look” without clear responsibilities. This makes reviews inconsistent and can even create new risks.

At first, these problems don’t look like governance failures. They show up as delays, extra work, and frustration - until something more serious happens.

What if Language Errors Have Real Consequences?

When language is tied to regulation, safety, or rights, the stakes rise right away.

A patient could be harmed if a hospital uses a bilingual employee or family member instead of the right vendor. A policy might be translated accurately but not fit the local legal context. An employee could get hurt at work, even if the safety instructions were reviewed.

At that point, the question isn’t “Who mistranslated this?” anymore. The real question becomes, “Why did our system allow this to happen?” This is where we move from quality assurance to governance.

What Strong Language Governance Looks Like

In a previous blog, we mentioned W. Edwards Deming’s point that you can’t “inspect quality into a product.” Instead, quality should be built into the whole process of multilingual communication. I suggest organizations treat multilingual communication as a governed system, not just a service. That system should:

• Define ownership of the individual parts of the multilingual process.
• Determine risk exposure in all workflows.
• Identify acceptable uses of Artificial Intelligence and Machine Translation
• Describe review roles and give them explicit accountability
• Produce documentation that captures not only what was done, but why quality is important. But without governance, quality alone can’t withstand the demands of growth and constant scrutiny in regulated industries.

The shift we (leaders) must make

The biggest change is in how we think about the problem. Stop asking whether your translations are accurate. Start asking whether your multilingual communication is governed.

Today, language errors are rarely just about language. They’re early warning signs that governance hasn’t kept up with real-world needs. Organizations that see this early can avoid learning the lesson the hard way.

Learn more about Teneo Linguistics Company.

The Accountability Gap in Multilingual Communication

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Thu, 29 Jan 2026 16:59:23 GMT

For a long time, multilingual communication followed a familiar routine. As Language Service Providers, we worked smoothly most of the time. Still, there were some unclear areas, especially when it came to workflows, roles, and accountability.

Sometimes, things went wrong and customers complained. There were many possible reasons: the source text might be unclear, the translator could misunderstand the message, a reviewer might make things worse, or a client could insist on using old, imperfect terminology.

Responsibility was spread out, and that seemed normal. But now, with AI everywhere, more content to handle, and tighter deadlines, that sense of comfort is disappearing.

As organizations produce multilingual content faster than ever, often using AI, a new problem is becoming clear. The issue isn’t quality - it’s accountability.

When Everyone Touches the Text, Who Owns the Risk?

Multilingual workflows often involve more people and steps than you might expect. Some steps are handled by humans, others by AI. Usually, translation alone includes at least three steps: translation, review, and quality assurance. In regulated industries, the process is even longer.

For example (and starting with content creation), a subject-matter expert drafts the content, sometimes with AI. Marketing adapts it, possibly with AI as well. Legal reviews it, ideally without AI. AI might translate the text, then humans post-edit it. In-country teams may request changes, and either humans or AI make updates. They also update translation memories and terminology databases for future use. Finally, compliance gives approval. That’s a lot of steps.

When something goes wrong and the translation is seen as low quality or just not 'good enough,' the real question isn’t just about accuracy. After so many decisions throughout the workflow, it’s better to ask: Who made the key decision, and why? In other words, was that decision defensible?

Translation Is Not a Task

We should stop seeing translation as just a simple task or a commodity. Multilingual workflows involve many decisions that can impact patient safety, legal risks, business operations, and public trust.

Among the questions to ask are:

What source version was used, and how was it created?
Which terminology was enforced or relaxed?
What was machine-generated versus human-validated?
Who approved deviations or local adaptations, and on what basis?
What evidence exists if decisions are later questioned?

If organizations can’t answer these questions clearly, the issue isn’t with translation; it’s with governance.

What Created the Gap?

Here’s a hint: AI isn’t to blame. It’s easy to point fingers at AI because it’s new, disruptive, and always changing. But while AI didn’t create the accountability gap, it did help reveal it.

Even before neural machine translation, we assumed that whoever handled a step in the workflow was responsible. But this was never clearly defined. Decisions were spread across teams and vendors, with the hope that someone was in charge. But were they really?

This approach worked as long as workloads and deadlines were reasonable, and there was time to catch mistakes during reviews. But when volume grows and timelines get shorter, informal and unclear processes no longer work.

In this situation, AI acts like a stress test - and I don’t think we’re passing it. AI didn’t break the system; it just showed that we’ve been relying on old habits instead of building strong governance.

The real question isn’t whether AI can be trusted with translation. It’s whether trust alone, without structure, ever counted as true accountability in the first place.

Reviews Are Not Accountability

New clients often ask, “What does your QA or review process look like?” Many people think that having a formal review means the process is under control. But review and control aren’t the same. Reviews are reactive. As W. Edwards Deming said, "quality can’t be inspected into a product — it has to be built into the system from the start."

A reviewer can:

Catch errors but cannot retroactively define intent.
Flag risk but cannot reconstruct why a decision was made.
Approve a version but cannot explain why it exists.

Reviews take place at the end, focusing on the final product. Accountability, on the other hand, is about the whole process.

People who worry about risk rarely ask who reviewed the content. They want to know what system made sure the right decisions were made.

The Real Risk Is Not Mistranslation

I believe the main risk in translation isn’t just mistakes. More often, it’s the workflow or the whole system that creates risk. Here are some examples:

Inconsistent terminology across the organization. For example, marketing and clinical research use different vendors, each with its own terminology.
Unclear ownership of localized adaptations introduced without authority or documented rationale, such as when in-country reviewers, who are not trained translators, make changes.
Silent edits by well-intentioned bilingual staff without translation expertise or traceability. No explanation needed here.
Machine outputs taken at face value and approved without human validation
Missing documentation explaining why changes were made, leaving no audit trail

These are failures of governance, not language, and they’re almost impossible to justify after the fact.

Accountability Requires Structure

Like any system, accountability needs structure. This includes:

Clear ownership of multilingual decision-making, including the source content
Defined rules for when and how AI maybe used
Documented escalation paths for ambiguity
Version control tied to rationale, not just text
Recognition that some decisions are business decisions, not linguistic ones

Accountability isn’t really about how well individuals perform. It’s built into the systems we create for multilingual communication.

A Closing Thought

When we look at multilingual communication from a risk perspective, it changes. Translation isn’t just about accuracy anymore. It affects whether organizations meet compliance requirements and calls for clear rules about who can make decisions and why. In this way, AI becomes a tool that supports the process, not one that leads it.

The organizations that do best are those that set up clear frameworks for using AI and make sure everyone knows who is responsible for what. It would be easier if multilingual communication was only about being understood, but it’s more complex than that. We want to be understood, while also being able to stand behind what we say in every language, especially when it matters most.

Learn more.

Why Translation Quality is No Longer Enough in Regulated Environments

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Wed, 14 Jan 2026 15:49:14 GMT

For decades, quality in translation revolved around one thing: accuracy. If a translation faithfully reflected the source text and was linguistically sound, it was considered quality work.

That definition served us well for a long time. Today, given the technology available to us, it no longer feels sufficient.

In regulated and high-stakes environments, language now sits squarely at the intersection of compliance, risk, accountability, and technology. A text can be linguistically accurate and still fail operationally, legally, or ethically. As organizations scale globally and rapidly adopt AI-assisted workflows, the definition of “quality” has to expand.

When “accurate” is not the same as “adequate.”

Consider regulatory documentation, informed consent materials, safety communications, or employee policies. These texts do not exist simply to be read. They exist to be relied upon.

A translation can be accurate word-for-word and still obscure legal responsibility, drift away from regulatory intent, fall short of readability or accessibility requirements, introduce ambiguity where none existed, or create false confidence in automated workflows.

Take an IFU (Instructions for Use) for a medical device that includes the instruction:

Do not use if the packaging seal is broken.

An AI-generated translation may be technically accurate. The terminology is correct. The sentence is grammatically sound. Yet the phrasing can shift from a clear prohibition to a conditional description, such as:

The device should not be used in cases where the packaging seal is broken.

On the surface, the meaning appears unchanged. Functionally, it is not. The translation no longer signals a non-negotiable condition of use. The manufacturer’s intent is softened, and liability exposure increases.

This may seem like a minor shift, but the effect is cumulative. If you enter coordinates into an airplane’s navigation system that are off by a single degree, you may end up landing far from where you intended to go.

In the same way, small changes in modality, tone, and emphasis compound across a document. An IFU that is accurate at the sentence level can become, as a whole, a materially different and riskier document than the original.

AI has changed the risk profile, not eliminated it

AI-driven translation has dramatically increased speed and lowered cost. That efficiency is real and valuable. But it has also changed how risk enters the system.

Human translation failures tend to be localized and visible. AI failures scale quietly. They replicate patterns. They introduce consistency where judgment is required. And they often sound plausible enough to pass a casual review.

In regulated environments, plausibility is not a sufficient safeguard. Quality can no longer be assessed only at the sentence level. It must be evaluated at the system level.

Quality now includes governance

Modern multilingual quality requires clear answers to questions that were once assumed rather than articulated. Who is accountable for language decisions? What standards govern the use of AI and human review? How are errors detected, escalated, corrected, and prevented from recurring? What documentation exists to demonstrate due diligence? How are linguists trained to work responsibly alongside AI, and by whom?

If these questions cannot be answered, even otherwise excellent linguistic output becomes fragile.

The human role is changing, not disappearing

The assumption that AI will replace translators misunderstands both translation and AI.

What is changing is the nature of expertise. Linguists are increasingly asked to evaluate risk, not just render meaning. They intervene strategically rather than translate everything manually. On top of linguistic and cultural context, they apply domain knowledge, regulatory awareness, and ethical judgment. They understand where automation helps and where it does harm.

This work requires more skill, not less. But it also requires different training, clearer expectations, and stronger professional signals than the industry currently provides.

Why this matters now

Organizations are making long-term decisions about language workflows, staffing, and technology based on short-term assumptions. Several of our clients are building proprietary AI solutions. At the same time, public narratives about AI are discouraging new talent from entering the language profession altogether.

The result is a widening gap between the complexity of multilingual risk and the capacity of systems and people to manage it. Quality, as traditionally defined, cannot close that gap.

Toward a more resilient definition of quality

In regulated environments, multilingual quality can no longer be reduced to linguistic correctness alone. Accuracy remains necessary, but it is only the starting point.

Language must also align with regulatory intent, not merely replicate wording. A translation that technically reflects the source text but fails to meet regulatory expectations, readability standards, or accessibility requirements introduces risk rather than mitigating it.

Quality also depends on whether a document can be used as intended by the people who rely on it. Instructions that are difficult to follow, consent language that obscures rights, or policies that blur obligations undermine the function of the document, even when the translation itself is defensible. In this sense, usability is a compliance concern.

As AI becomes embedded in multilingual workflows, quality increasingly hinges on governance. Language service providers must be able to demonstrate how language decisions are made, who is accountable for them, and what safeguards exist when automation is involved. Without documented accountability, it becomes difficult to distinguish efficiency from negligence after the fact.

Responsible AI integration does not mean avoiding automation. It means understanding where AI adds value and where it introduces risk, and designing workflows accordingly.

Human involvement should not be a ceremonial “human in the loop” step. It must function as an active control, with real authority to intervene, revise, or even halt publication when language compromises safety, compliance, or trust.

Taken together, these elements redefine what quality means in regulated multilingual communication. It is not simply about getting the words right. It is about ensuring that language performs its intended function under scrutiny, at scale, and over time.

This does not mean rejecting AI. It means understanding it well enough to use it effectively while retaining responsibility.

That, I think, is the work ahead.

Real Stories: How Language Barriers Affect Patient Care and Customer Service

autumn@tlctranslation.com (Teneo Linguistics Company) — Tue, 09 Dec 2025 15:08:22 GMT

In a world that’s more connected than ever, it’s easy to forget that communication can still be a barrier, especially when language is involved. For healthcare providers and customer service teams, the stakes couldn’t be higher. Every misheard word, misunderstood instruction, or overlooked question can have real, human consequences.

A Patient’s Story

Maria, a 42-year-old woman, visited a clinic for a routine checkup. She spoke limited English, and her physician didn’t have access to professional interpreting services at the time. When the doctor asked about her medication, Maria nodded, hoping her answer was correct.

Later, she experienced severe side effects because the dosage instructions had been misunderstood. What could have been a simple conversation escalated into a medical complication, all because of a language barrier.

A Customer Service Challenge

Across town, Ahmed called his insurance provider with a question about a recent claim. Speaking English as a second language, he struggled to explain his situation. The representative tried to help, but without professional language support, details got lost.

Frustrated and confused, Ahmed hung up, unsure if his claim would be processed correctly. One small misunderstanding turned into hours of stress and lost trust.

The Ripple Effect

These are not isolated incidents. Language barriers affect patient safety, customer satisfaction, and organizational efficiency. Miscommunication can lead to:

Misdiagnoses or medication errors in healthcare settings
Increased call times, unresolved issues, and dissatisfied customers in service environments
Legal and regulatory risks for organizations that fail to provide adequate language access

Why Professional Language Support Matters

Investing in professional interpreting and translation services is more than a compliance requirement; it’s an investment in human connection. Organizations that prioritize language access see:

Improved patient outcomes and adherence to treatment plans
Faster, more accurate customer support
Increased trust, loyalty, and overall satisfaction

At Teneo Linguistics Company, we help healthcare providers and customer service teams bridge these gaps with professional, reliable, and secure language solutions. From over-the-phone and video remote interpreting to written translations and accessibility services, we ensure that your messages are understood the first time, every time.

Turning Stories Into Solutions

Every miscommunication has a story behind it, and every story is an opportunity to do better. By integrating professional language services, organizations can transform moments of confusion into moments of clarity, care, and trust.

Don’t let language barriers define your patient or customer experience. Let’s create a world where every person feels heard, understood, and valued.

Book a meeting with us today and discover how we can help you break down language barriers before they become real problems.

What AI Still Can’t Do in Translation and Why That Matters

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Tue, 11 Nov 2025 16:49:46 GMT

Whenever a conversation turns to artificial intelligence (which is often), someone inevitably says, “AI can translate anything now, right?” It is an understandable assumption; machine translation has come a long way. But the truth is more nuanced. While AI has made translation faster, more scalable, and often more affordable, there is still a wide gap between what it can do and what we should let it do.

At Teneo Linguistics Company (TLC), we have been using technology in translation for decades. We work with AI-powered tools every day. But we have also learned where human expertise remains irreplaceable and why that distinction matters for organizations that cannot afford mistakes.

AI Doesn’t Understand Context. It Predicts Patterns.

AI doesn’t think. It predicts.

When faced with ambiguous phrases, cultural references, or idiomatic expressions, it relies on probability, not understanding.

For example, “pending results” in a clinical context can mean awaiting lab results, but in a legal document it might mean subject to future action. A human linguist recognizes that difference instantly. An AI model might select the most common translation, not the contextually correct one.

The result can be a subtle but serious error that undermines meaning or compliance.

AI Can’t Assume Legal or Regulatory Responsibility

In regulated industries such as life sciences, legal, education, or government, translations carry weight far beyond words. A mistranslated phrase can trigger a compliance violation, invalidate a regulatory submission, or expose an organization to liability.

AI tools do not take responsibility for their output. Human experts do. This is why we issue Certificates of Accurate Translation. It is not a document we stamp and sign for formality. It is a legal commitment to stand by our work, even if that means testifying in court.

At TLC, every translation, no matter the process, always involves a human in the loop and passes through quality checks by subject matter experts who validate accuracy, tone, and compliance before delivery. That is the difference between machine-assisted and machine-dependent translation.

AI Misses Emotional and Cultural Subtext

Language is never just information. It is identity, trust, and empathy.

AI may produce grammatically perfect sentences, but it often misses tone, nuance, and cultural resonance. In healthcare or community programs, the difference between eligible and qualified can change how a reader feels about being included or excluded.

Humans intuitively recognize those sensitivities. AI does not feel; it predicts what sounds “correct.” In language access, “correct” is not always right.

AI Doesn’t Protect Your Data by Default

Many publicly available AI translation tools store, learn from, and reuse user data, often without clear consent. In most cases, consent is automatic upon use. That poses real risks for organizations handling confidential or personally identifiable information.

Note for readers: Are you sure your employees do not default to using these tools without considering the implications?

At TLC, our ISO 27001-certified information security framework ensures that no data leaves our controlled environment. We use secure, trained engines and proprietary workflows to balance innovation with confidentiality.

In our world, privacy is not optional. It is required, by default, every time.

AI Doesn’t Replace Humans. It Amplifies Them.

The most effective use of AI in translation is not automation. It is amplification.

Our linguists use AI to handle repetitive tasks, identify terminology patterns, and accelerate turnaround times. Then they do what AI cannot: apply judgment, refine nuance, and ensure that the message achieves its intended impact. Translation is not about replacing words. It is about delivering meaning.

AI is a powerful tool, but only when guided by skilled professionals who understand both language and context.

Final Thought: Technology Evolves. Meaning Endures.

AI will continue to improve. So will our ability to integrate it responsibly. But human insight, empathy, and accountability remain irreplaceable.

At TLC, we believe the future of translation lies in combining the precision of AI with the integrity of human expertise. That is how we help our clients communicate clearly, inclusively, and compliantly across languages, cultures, and industries.

Is AI Putting Translators Out of Work?

hana@tlctranslation.com (Hana Laurenzo, TLC President & CEO) — Mon, 03 Nov 2025 17:00:35 GMT

Spoiler alert: No, it is not.

Whenever I tell someone what I do these days, the first question I usually get ranges from “How is AI affecting you?” on the lower end of the drama scale to “Has AI put you out of work yet?” on the higher end.

I get it. AI seems to be everywhere. And depending on which AI-generated list of “jobs most likely to be replaced by AI” you read, translation will almost certainly land in the top ten.

To pretend that AI hasn’t affected our industry would be untrue; but for us, its impact has been largely positive.

We’ve Been Living with Technology for a Long Time

Our industry has always been at the intersection of language and technology. Long before ChatGPT entered the spotlight, translators were working with Computer-Assisted Translation tools, Machine Translation engines, and even early Large Language Models.

We’ve learned to live with these tools, and more importantly, to use them to our advantage. They help us move faster, increase capacity, and maintain flexibility. The reality is simple: if we don’t adapt, we’ll be left behind by those who do.

The Human Element Is Still Essential

At Teneo, we work primarily in highly regulated fields like education and life sciences. And I can tell you with confidence: the world is nowhere near ready to take the human out of those particular loops.

Compliance, accuracy, and nuance matter too much when you’re translating a patient consent form, a clinical trial report, or an educational assessment. AI can assist, but it can’t be trusted to shoulder that responsibility alone.

So for our business, AI is a tool. It’s like taking a calcium supplement: it may help with strong bones, but the you-powered strength training is by far the most effective.

The Real Risk Isn’t Replacement. It’s Misinformation.

Here’s what truly concerns me: the narrative that “AI will replace translators” is discouraging the next generation of linguists from entering the field.

Students of modern languages may choose different paths: teaching, perhaps, or entirely unrelated careers, because they’ve heard the future of translation is bleak.

That couldn’t be further from the truth. Humanity is producing content at an unprecedented rate, and even if much of it doesn’t require expert human translation, an enormous amount still does.

The Shortage No One Talks About

While we still enjoy a healthy number of translators for mainstream languages, the same can’t be said for many others. In some languages, only a handful of qualified professionals exist. Losing that talent would mean losing cultural and linguistic diversity that no algorithm can replicate.

If we allow misinformation to drive talented linguists away, we risk creating a world that is not only less connected, it is also less human.

Why Human Language Still Matters

AI learns from human-created content. The moment the scales tip and AI starts learning mostly from other AI-generated text, we’ll begin to lose something irreplaceable: emotional depth.

Have you ever felt a visceral reaction to hearing beautiful words? A line from a poem, a quote that moved you, a speech that gave you chills? That’s the human fingerprint on language.

And then there is context. It is not that long ago that an AI-generated translation returned the phrase “CAT scan” (as in a computerized tomography scan) with the word for “cat” (as in a feline) in it in the target language.

Without human emotions, context, nuance, and detail, the world of the written word will be duller and also dumber. And that’s a loss none of us should be willing to accept.

Final Thought

AI isn’t the villain in this story. It’s a catalyst that pushes us to redefine what we do and how we do it. But it’s up to us, the humans behind the words, to make sure language continues to connect, inspire, and move the world forward.

TLC gains ISO translation quality, info security recertifications

autumn@tlctranslation.com (Teneo Linguistics Company) — Tue, 28 Oct 2025 20:16:08 GMT

Teneo Linguistics Company (TLC) is thrilled to announce its recertifications for ISO 17100 (quality translation services) and 27001 (Information Security Management) by ISO Quality Services Ltd.

"[TLC's] dedication, meticulous documentation, and hard work continue to set the standard for excellence," ISO Quality Services Account Manager Katie Derbyshire wrote in a LinkedIn post. "Well done, everyone!"

Certification to ISO 17100 shows that an organization is committed to providing consistent, accurate, and reliable translation services. By obtaining this certification, translation service providers like TLC ensure they have the procedures, tools, and quality control systems needed to provide clients with translation services that are up to par.

An organization's dedication to safeguarding sensitive data with a strong information security management system is demonstrated by ISO 27001 accreditation, which is essential for information security.

Together, these certifications show a thorough approach to quality and security, which is crucial for sectors like healthcare and education.

"At Teneo Linguistics Company, we deeply value our partnership with ISO Quality Services and its team, especially our auditor, Julia Meaden. We’ve greatly enjoyed collaborating with them over the years," TLC President & CEO Hana Laurenzo said. "What stands out for us is how they understand that ISO certification isn’t a once-a-year hurdle - it’s a matter of daily living, breathing operational excellence. Their support, insight, and wisdom have been instrumental in making that real for us.

"We look forward to continuing this great journey together."

Language access is more than a service; it’s TLC's mission. For over 17 years, TLC has provided secure, accurate, and efficient language solutions in over 180 languages, guided by our core values of excellence, integrity, partnership, and gratitude.

Learn more about how TLC can assist your organization with expert language solutions at www.tlctranslation.com.

The Hidden ROI of Translation Memory

autumn@tlctranslation.com (Teneo Linguistics Company) — Thu, 02 Oct 2025 19:42:50 GMT

When most businesses think about translation, they focus on accuracy, speed, and cost. What often gets overlooked is how those costs can evolve. That’s where Translation Memory (TM) becomes a game-changer, and where the hidden return on investment truly shines.

What is Translation Memory?

Translation Memory (TM) is a secure database that stores your company’s previously translated words, sentences, and phrases. Every time a new project comes in, the system checks for exact or partial matches. Instead of translating those segments from scratch, they can be reused faster, more consistently, and more cost-effectively.

It’s not machine translation. It’s your translation, created by professional linguists, stored and reused intelligently to save time and money.

Why It Matters: Time and Cost Savings Add Up

At Teneo Linguistics Company (TLC), we’ve seen Translation Memory deliver measurable impact for our clients:

Up to 40% cost savings over time
Faster turnaround times for projects with recurring or similar content
Consistent messaging across departments, product lines, and markets

Think about it: most organizations don’t reinvent their messaging every day. Regulatory documents, product manuals, HR materials, training guides, marketing content — these all repeat or overlap. Without Translation Memory, you’re paying for the same work over and over again.

With TM, every project builds on the last. The more you translate, the more you save.

If you’re already partnering with TLC, Translation Memory is working for you in the background, capturing savings and building consistency every time we complete a project together. The value compounds with every document.

If you haven’t worked with us in a while, here’s the reality: you’re leaving money on the table. Every project you send elsewhere or delay entirely is missing out on TM savings. Over time, that gap only grows.

Why pay 100% for the same content multiple times when you could be saving up to 40%?

The Bigger Picture

Translation Memory is more than just a cost-saver. It’s a long-term strategy for global communication. It helps you:

Get to market faster in multiple languages
Maintain consistency in compliance-heavy industries
Scale your global operations without scaling your costs

In other words, it’s not just about translation; it’s about smarter business.

Ready to unlock the hidden ROI of Translation Memory?

Whether you’re an active customer looking to expand your savings or you want to start building your Translation Memory again, now’s the time. TLC is here to help you save money, save time, and communicate more effectively across every language.

Tell us about your project today!

Language Access: Why It Matters More Than Ever for Businesses

autumn@tlctranslation.com (Teneo Linguistics Company) — Fri, 12 Sep 2025 14:22:11 GMT

In today’s fast-paced and interconnected world, language is more than a tool, it’s a bridge. Whether you’re serving customers, engaging employees, or expanding into new markets, the ability to communicate effectively across languages isn’t optional anymore. It’s essential.

Policy shifts may come and go, but the fact remains: people don’t stop speaking their native languages just because regulations change. Communities remain diverse, workplaces remain multilingual, and customers continue to expect businesses to meet them where they are.

That’s why language access, supported by professional language services, is not only relevant but critical for companies looking to thrive.

Why Language Access is a Business Imperative

Language access ensures that your message is not just heard but understood.

A product manual, safety guideline, patient form, or customer service interaction can’t fulfill its purpose if the person on the other end is left confused. Miscommunication doesn’t just cause frustration; it can lead to lost revenue, compliance risks, and even harm to your brand reputation.

Professional language services protect against these risks. Unlike machine translation or ad hoc solutions, professional translation and interpreting bring accuracy, cultural nuance, and clarity. They ensure your message resonates in the way you intend, no matter the language.

Policy Isn’t the Only Driver

While government and industry regulations often highlight the need for language access, businesses shouldn’t treat compliance as the finish line. Regulations are a starting point, but true impact comes from embracing language access as a core business value. It’s about inclusivity, trust, and long-term success, not just checking a box.

Think about it: when your customer feels seen and understood, loyalty grows. When your employee receives clear training in a language they fully understand, productivity rises. When your brand communicates authentically across cultures, your reach expands.

Professional Language Services: The Strategic Advantage

Companies that invest in professional language solutions — translation, interpreting, accessibility, and proficiency assessments — gain more than compliance. They gain a competitive edge. Accurate and culturally sensitive communication signals that your business values people, respects diversity, and is serious about delivering excellence.

With TLC, you don’t just get words converted from one language to another. You get tailored solutions designed to help your business connect meaningfully and securely, with a proven track record of accuracy, compliance, and on-time delivery.

The Bottom Line

Language access is not a trend; it’s a necessity. The businesses that will thrive in the future are those that understand language isn’t a barrier to overcome, but a bridge to opportunity. Professional language services are the key to crossing that bridge with confidence.

At Teneo Linguistics Company, we believe in the transformative power of language. And in this day and age, that power is exactly what sets successful companies apart.