Do you want to use an LLM to translate your SAP texts? Does your company already have an approved AI provider – or are there strict policies about where your data may be sent?
i18n Translation Manager for SAP® S/4HANA translates SAP texts with an LLM, using the context from your SAP system, and flags difficult texts for human review. You can read more about how it works in our blog post on LLM-powered SAP translation. We help you implement the the model of your choice, connect it up, and get it ready for production.
To help you choose the right AI provider and model, we evaluate your requirements. We help you balance translation quality and cost, following your policies on where your data may be stored and processed. We estimate the token costs for your translation scope, and we provide the documentation your IT security team, data protection officer, or works council needs to approve the solution.
We set up the reference implementation using Anthropic’s Claude, or implement the BAdI so the AI provider of your choice can be used, for example OpenAI, Azure OpenAI, Google Gemini, or a self-hosted open-weights model. We load your company’s terminology into i18n Translation Manager’s terminology database and make sure SAP standard terminology from SAPterm is available in your system.
We translate a representative sample of your texts into the languages you need, tune the provider-specific settings, and review the results with you. We can also run a side-by-side evaluation against your current translation approach. Finally, we integrate LLM translation into your translation process and train your team – including the reviewers who will handle the flagged texts.
Key Benefits of LLM-Based SAP Translation
Bring LLM translation into your SAP system with the model, the configuration, and the process that fit your organization.
Use the AI provider you trust
whether that’s Claude, OpenAI, Azure OpenAI, Google Gemini, or a self-hosted model.
Be production-ready from day one
with your terminology loaded and the settings calibrated for your texts.
Know your costs before you start
with a token cost estimate based on your actual translation scope.
Tailored LLM Implementation Approaches
Whether you're bringing your own model or starting from scratch, we find the setup that fits your requirements.
Quick Start with the Reference Implementation
Problem
You want to get started with LLM translation as quickly as possible and see results on your own texts before committing to a specific translation tool or model.
Solution
We set up the reference implementation using Anthropic’s Claude, load your terminology, and run a pilot project on a representative part of your translation scope, for the languages you need.
Benefits
You see real translations of your own texts, along with the texts the LLM flagged for review, and you get a token cost estimate for your full scope.
Your Organization Has Approved an AI Provider
Problem
You want to translate your SAP texts with an LLM. Your IT department has already approved an AI provider, say Azure OpenAI or Google Gemini, for use within your organization and has no desire to onboard another one. But i18n Translation Manager comes with a reference implementation for Anthropic’s Claude.
Solution
We implement i18n Translation Manager’s BAdI for your provider’s model, set up the connection in your SAP system, and calibrate the settings for your texts and target languages.
Benefits
You translate with the model your IT, security, and data protection teams have already signed off on.
Your Data Must Not Leave Your Servers
Problem
Your company’s data protection policy doesn’t allow texts from your SAP system to be sent to an external AI provider. But you still want the benefits of LLM translation.
Solution
We connect i18n Translation Manager to an open-weights model that runs on your own infrastructure, and we help you choose a model of the right size for translating SAP texts.
Benefits
You get LLM translation, and your texts never leave your network.
Side-by-Side Evaluation
Problem
You’re already translating your SAP texts, for example with DeepL, SAP Translation Hub, or human translators. You want to try out LLM translation to see if you can do better than the translation quality you get currently, or if you can save costs.
Solution
We take a representative sample of your texts that you already translated using your existing process, and translate it again with LLM translation in i18n Translation Manager. Then we compare the resulting quality and cost.
Benefits
You decide which process works for you based on real-life data from a thorough comparative evaluation.
Frequently Asked Questions
Which LLMs can we use with i18n Translation Manager?
What does it take to connect our own model?
What data is sent to the LLM?
What does LLM translation cost?
How is LLM translation different from classic machine translation offered by DeepL or SAP Translation Hub?
Does LLM translation replace our translators?
Why Choose Us for LLM-Based SAP Translation?
We built LLM translation into i18n Translation Manager, and we know what it takes to get it running in an SAP landscape:
decades of SAP translation expertise, built into i18n Translation Manager’s LLM translation
hands-on experience connecting LLMs from different providers
vendor-neutral evaluation against DeepL, SAP Translation Hub, or your current translation process
Start Your LLM Translation Project Today
Want to translate your SAP texts with an LLM, using the model your organization trusts? We connect it, configure it, and get it ready for production.