When a leading consumer electronics company asked whether AI could reduce their translation costs, our answer wasn’t immediate. To confirm that the impact could be real — not theoretical — we needed a few fundamentals:
- How much content do they translate?
- What does it cost today?
- Which elements drive most of that cost?
- Which business processes depend on translations?
As we spoke with more teams and learned how the business operated, we realized that the first area with the potential for multi-million-euro savings was clear: reducing the spend on external translation agencies.
And there was something to fight for. The company was spending almost €0.7M per year on translations alone. We knew that with the right approach, AI could theoretically cut these costs dramatically — even by more than 90%.
At that point, however, one key question remained:
Could AI deliver not just cheaper translations, but high-quality, multi-language output that preserves brand tone, consistency, communication strategy, and the company’s terminology?
To answer this, we began with data.
That’s how the Proof of Concept was designed:
- 27 languages
- 9 context scenarios
- 11 LLMs
Results:
- 2.5 million words translated
- Costs reduced from €425,000 to €75 — a 99.99% decrease
- User satisfaction rated at 4.3 / 5
The outcomes not only validated our assumptions; they also generated strong internal momentum and high stakeholder engagement for the next stage of development.
Within a few months, we expanded the solution and moved into the MVP phase, introducing:
- structured translation forms
- character-limit management
- XML support
- PIM integration
- a translation memory exceeding 800,000 records
Within the first year, the system processed over 42,000 translations at a total estimated cost of €226.
This case shows what happens when AI is built around the process — not the other way around.
The Translation Problem
Every global company depends on accurate, timely translations. Product descriptions, marketing campaigns, contracts, user manuals — all of them must speak the brand’s language, across dozens of markets and formats.
But translation has long been one of the most fragmented and expensive processes in global organizations. Traditional workflows rely on agencies and native editors, while generic machine translation tools often fail to capture tone, nuance, or intent.
The result? Repeated manual reviews, inconsistent voice across regions, and high operational costs that scale with every new market.
AI Translate was created to change that. It replaces fragmented translation operations with a single, intelligent system that adapts to the brand — not the other way around.
The Shiftum AI Translate Solution
AI Translate is a custom-built translation engine designed for enterprise environments. It combines the accuracy of top large language models (LLMs) — such as ChatGPT or Claude — with deep contextual understanding of your brand, tone, and communication rules.
The system doesn’t just translate text. It interprets content through the lens of your company’s communication standards. Whether it’s a product page, a social media post, or legal documentation, each translation is automatically shaped to reflect regional nuances, channel-specific style, and tone of voice.
Unlike traditional tools, AI Translate fits directly into your existing workflows. It connects with systems you already use — e.g. PIM, CRM, CMS — and keeps translations consistent through an integrated translation memory. The result is a living, adaptive system that grows with your organization and continuously improves over time.
Business Results and ROI
AI Translate delivers measurable results from day one.
Companies that adopt the system typically see a 99% reduction in translation costs, while the average delivery time decreases from days to minutes.
Teams maintain consistent messaging across all markets and channels, and translation memory ensures that quality improves with every new project.
For enterprises, this means shifting translation from a recurring expense to a strategic capability — one that scales globally and operates continuously.
Core Features
AI Translate is built to replicate the precision of native translation — with the speed and scalability of automation.
Context-Aware Translation
The engine recognizes the type of content being processed — whether it’s marketing copy, CRM communication, legal text, or technical product data — and automatically applies appropriate linguistic and stylistic rules.
Tone-of-Voice Adaptation
AI Translate learns how your brand communicates. It follows tone guidelines, preserves style consistency, and ensures that even regional versions sound like one unified voice.
Structured Translation Forms
Specialized modules support translation of structured and character-limited content — such as email templates, landing pages, and paid search ads — with automated validation and shortening functions.
Translation Moderation Panel
All translations can be reviewed and approved within a single moderation dashboard. Moderators can compare versions, make edits, and send approved translations directly to integrated systems.
Translation Memory
Approved translations are stored for reuse across the organization, reducing time and costs while ensuring consistency of terminology and phrasing.
Cross-Language Capability
Supports over 40 languages, translating from any to any, with the ability to expand the list to fit corporate needs.
Enterprise Security & SSO
Operates securely within your internal infrastructure with single sign-on, user roles, and audit logs — ensuring full control and compliance.
Real-Time Feedback
Translation quality continuously improves through instant user feedback and fine-tuned prompts.
Extensive stats management
Detailed statistics let you track cost savings, translation volumes, and model usage — enabling transparent ROI reporting and governance.
LLMs from top companies
Use of the best AI models, ability to switch between them.
Each feature addresses a specific pain point of enterprise translation management.
How It Works: From Text to Translation
AI Translate was built to be flexible. It supports both manual and automated translation flows — allowing your teams to work directly in the interface or integrate it seamlessly into enterprise systems.
Manual translation
In the user interface, employees can paste text or upload files directly. They select a region, language, product group, and context — for example, marketing, CRM, or legal.
The system then sends the content along with structured instructions to a selected LLM. These instructions define not just the target language, but also the brand tone, sentence style, and terminology preferences.
Within seconds, a complete translation appears — ready for use. It can be fine-tuned, shortened, or reformulated using the built-in AI assistant. When approved, the output can be copied, downloaded, or exported directly to integrated platforms such as PIM or CMS.
Automated translation
In automated mode, connected systems like PIM or CRM send translation requests to AI Translate via, e.g. API.
The engine automatically checks translation memory for existing pairs. If the segment has already been translated, it’s reused. If not, the system generates a new translation using the best-matching LLM.
A moderator then receives a notification for review and approval before the translated file is returned to the source system.
This dual approach allows organizations to combine flexibility and automation: ad-hoc creativity, and high-volume efficiency.
Use Cases
AI Translate adapts to multiple contexts across an organization:
Paid Search
Create and localize ad copies while respecting character limits and advertising tone.
- Copy the ad text from the table along with the character limit into VersAI.
- In just a few seconds, you’ll get a structured translation that respects the character limit. You can then copy and paste it back into the table.
Website Content
Automatically adapt product pages and marketing copy to local markets.
- Duplicate the structured content intended for display on the landing page.
- Paste it into AI Translate. Select the region, target language, and context for the translation. You will receive the finished translation in a few seconds, ready to be copied into a file.
Social Media
Generate informal, region-specific language for digital campaigns in social media.
- Paste the master text into AI Translate.
- Select the region, language, and “social media” context.
- In just a few seconds, you’ll get a ready translation that matches your brand’s tone of voice and the style appropriate for social media communication.
Legal
Translate contracts, disclaimers, and compliance documents with precision.
- Paste the content of the document that requires a formal style (e.g., contract, leaflet, official letter, etc.).
- Select the region, language, and choose the “legal documents” context.
- In just a few seconds, you’ll get a translation ready to copy and use.
Product Data
Automate large-scale product translation workflows directly integrated with internal systems.
- AI Translate receives the translation request, automatically analyzes it, and generates the translation.
- The moderator gets a notification that the translation is ready, reviews it, and approves it.
- The approved translation is then sent back to the integrated system.
Each of these use cases leverages different translation guidelines and context rules, ensuring that the output fits both the purpose and the platform.
Integration and Scalability
AI Translate connects easily with enterprise ecosystems through robust APIs and modular design. It integrates with systems such as PIM, CMS, CRM, and DAM, enabling automatic data flow without manual intervention.
Role-based moderation ensures that translation reviews are controlled and traceable, while dedicated hosting and data segregation maintain compliance with IT policies.
The system scales horizontally — from small pilots to global rollouts — adapting to organizational structure, regional teams, and growing data volumes.
Security and Compliance
Security is built into every layer of AI Translate. No text is ever stored, reused, or exposed to external systems beyond the defined scope. Translated content is never used to train AI models.
The solution runs in a secure environment — in your cloud (AWS, Azure) or on-premises — and adheres to the organization’s internal security and privacy policies. Each translation process can be fully monitored and audited, giving IT and compliance teams complete visibility.
Join the Early Adopters Program
Early adopters gain more than early access — they help shape the future of AI translation.
Participants receive dedicated technical support, direct input into the product roadmap, and preferential financial terms for pilot and rollout phases.
If your organization wants to test or co-develop enterprise translation workflows, you can apply to join the current Early Adopters Program and collaborate directly with our product team.
It’s not just a tool for translation. It’s a foundation for a more connected, efficient, and globally coherent organization.