Language processes are invisible in most organizations until they are not. As long as new features, product descriptions, repair guides and the website launch are available on time in all languages on all channels, nobody asks what is behind it and how multilingualism actually works in the company. This changes abruptly when deadlines are missed, text volumes increase, new markets are added or key people leave the company. It does not take a crisis to question one’s own language processes. If you look now, you can design early rather than react late. That is what this is all about.
Historically grown linguistic landscapes
Language processes rarely arise through strategic decisions.
They arise through pragmatism.
Someone started sending translation jobs by email because it was quick.
Someone maintained an Excel list because there was no better tool.
And at some point that became the way translations are handled.
In addition, there is the diversity of stakeholders that make language processes fundamentally complex.
Content and marketing want to be fast and channel-oriented, Legal wants to be precise and comprehensible, IT is responsible for the systems in which everything runs, external partners bring their own tools and expectations.
All have legitimate requirements.
Hardly anyone has an overview of the whole thing.
“We have always done this way” is not an excuse in this context, but often an honest description.
Grown processes work because people fill them with experience, prudence and personal commitment.
The problem is not that they are bad.
The problem is that they do not scale.
Symptoms of inefficient processes
How do you recognize that grown structures are reaching their limits?
Mostly on one or more of these patterns.
People dependency: When a specific person is on vacation, the process is stalled.
Quality and speed depend on individuals, not systems.
This is not a sign of expertise, but of a lack of process design.
Media breaks: Files are sent by e-mail that a system could deliver directly.
Status updates are shared in meetings — or not at all — when they should be visible in a simple tool. Each manual handover step is a potential error and a guaranteed loss of time.
Lack of transparency: No one knows right away where an order is, who is processing it and when it is ready.Requests are increasing, escalations too.
Variations in quality: The results are sometimes very good, sometimes less, depending on who is working on them and how much time can be used.
A reliable standard does not exist.
Technological pressure: Tools, platforms and AI applications are changing the pace and expectations in the environment. Internal processes struggle to keep up because they have never been designed for this purpose.
Analysis and prioritization
Before optimizing, it must be understood. This sounds natural, but is often skipped. People who go directly into the solution often solve the wrong problem.
A clean inventory asks: What processes exist at all? How many variants are there, and why? Who is involved, who has requirements, who blocks change? And above all, where does it hurt most?
From these answers, a prioritization can be derived, which is weighted by effort and effect. Not everything needs to be tackled immediately. But it must be clear what comes first and why.
A joint workshop with BLC expertise can be a productive format for working through exactly these questions.
Quick wins and structural measures
Optimization works on two levels: In the short term where rapid improvements are possible, and in the medium to long term where structural decisions need to be made.
Quick Wins
Introducing templates: The courage to standardize is often the first step.
Templates are not a constraint, they are a tool that frees up energy from repetitive tasks and creates space for what actually matters. A consistent translation process in the tool, a consistent flow of information to all parties, a consistent access structure to the relevant data. Exceptions remain possible, but they are the exception, not the rule.
Make knowledge visible: Briefings, style guides, onboarding documents and training courses translate implicit knowledge into documented standards.
What was previously in the mind of an individual becomes a shared and retrievable process knowledge.
Simple automation: Which manual steps could be eliminated immediately?
Where is a file sent today that a system could pass directly?
Small, high-impact automations are often closer than thought.
Structural measures
API connections between CMS and TMS create the basis for end-to-end, transparent processes. Without these interfaces, manual breaks are inevitable.
A clear role concept defines who is allowed, sees and is responsible for what. This applies to internal teams as well as external partners. No personal dependencies, but structured responsibilities that can be covered by others when needed.
TMS implementation or system changes are strategic decisions with a long time horizon. Anyone who tackles this in a structured manner will save themselves expensive corrections later on. More on this in our blog about system change.
AI integration always follows the same principle: First the process, then the tool.
Introducing AI into chaotic processes automates chaos. We are happy to support a structured approach to putting AI to smart use.
Sustainable optimization
Process Optimization is not a project with a completion date. It is an operating mode.
This begins with making implicit knowledge permanently scalable: In quality processes and tools, clear workflows and documented processes that are kept up-to-date and regularly questioned. What is documented today protects tomorrow when key people leave the company or new colleagues join.
It continues with the consistent testing of technologies. Machine translation is no longer an experiment, but an established standard, and working with LLMs fundamentally changes the generation and review of texts.
Ignoring is not a strategy. A well-planned introduction on a solid process foundation is.
And there needs to be a willingness to question established tasks and to accept new ones.
Technology can support or even take over parts of the text process. But new responsibilities are emerging alongside it: designing, steering, reviewing and securing processes.
The goal is not perfection. The goal is controllability: Processes that scale, quality that is reliable, and transparency, makes decisions and innovation possible.
The way there is often harder to walk from the inside than from the outside.
Those who are stuck in the system for years can usually not look at it soberly.
A structured external perspective accelerates what gets stuck internally.
Your language processes have grown and you are wondering where to start?
We help you gain clarity and prioritize the right actions. Get in touch.
