No More Shadow AI
How the PCG AI Gateway Delivers Safe, EU-Compliant GenAI to Your Enterprise
Let’s face it: your employees are already using generative AI. Every single day. Whether it’s for refactoring legacy code, structuring unstructured data or drafting documentation. The problem? It is happening in the shadows.
Subsidized individual subscriptions from US providers are temptingly cheap and can be activated with just a few clicks on a private credit card. However, for IT decision-makers in the EU, this situation is a regulatory nightmare: there is no guarantee of data processing exclusively within the EU, data retention policies are unclear and there is zero transparency regarding which sensitive customer data or IP rights are currently ending up on US servers.
With the EU AI Act now in force, this risk is no longer acceptable. Yet, the solution is not a blanket ban on AI tools—that would only paralyze your teams’ innovative drive. The solution is a centralized, controlled, and highly flexible infrastructure layer: the PCG AI Gateway.
The Risks of Isolated Subscriptions
Consumer-grade subscriptions like ChatGPT Plus or Claude Pro do not offer enterprise-level guarantees. Anyone processing customer data under these platforms’ standard terms is likely breaking multiple compliance regulations.
- No EU Guarantee: Data streams are routed dynamically—often directly to US data centers.
- Vendor Lock-In at the User Level: Teams get used to a specific ecosystem. Switching AI providers due to cost or better model performance turns into a major change management project.
- The Black Box: Who is consuming how many tokens? Which department is generating what costs? Without centralized billing and budgeting, a reliable TCO calculation is impossible.
A Centralized Endpoint for All Relevant LLMs
The PCG AI Gateway acts as an intelligent, GDPR-compliant proxy (based on a highly optimized LiteLLM architecture) between your internal tools and the world’s leading AI models. As part of our comprehensive Data & AI portfolio, we ensure that the Gateway integrates seamlessly into your existing data landscape and cloud infrastructure (AWS, Azure, or Google Cloud).
[Your Applications / IDEs / Agents]
│ (OpenAI-compatible API)
▼
┌───────────────────────┐
│ PCG AI Gateway │ ◄── [Central Governance / SSO / Budgets]
└───────────────────────┘
│
┌───────────┼───────────┐
▼ ▼ ▼
[Vertex AI] [Azure AI] [Bedrock] as well as European Hyperscalers (STACKIT, Evroc)
1. EU-Compliant by Default (Zero Data Retention)
All data streams are guaranteed to remain within European cloud infrastructure. Thanks to strict Zero Data Retention policies, user prompts and completions are not stored by the model providers for training purposes. You can work securely with real project data and sensitive customer information.
2. Provider-Agnostic via a Single Endpoint
Whether your developers are working with Claude Sonnet in their IDE, your data analysts are using Gemini 3.1 via Vertex AI, or your backend system is querying GPT-5.5—nothing changes for your infrastructure. The Gateway provides a standardized, OpenAI-compatible endpoint. Swapping out the underlying model in the background requires exactly zero lines of code changes in your applications.
3. Full Governance and Transparent Budgeting
No more untransparent billing. Through a centralized dashboard connected natively to your identity management via Single Sign-On (SSO), you maintain absolute control:
- Model Whitelisting: Granularly define which teams get access to which model tiers (Standard, Pro, Expert).
- Per-User Budgets: Set clear cost limits per person or team, featuring automated email alerts when 50%, 85%, and 95% of the budget is reached.
- Automated On-/Offboarding: When an employee leaves the company, their API access is automatically revoked.
Why Building Your Own GenAI Infrastructure Is a Misinvestment
Many IT departments initially lean toward building their own LLM proxy. After all, open-source components are readily available. However, production reality tells a different story. A look at the actual effort involved shows why the “Do-It-Yourself” approach burns valuable engineering resources:
Enterprise AI, Without the Black Box.
Next Step: Sovereign AI Infrastructure Within Weeks
Secure your company against regulatory risks, eliminate shadow IT, and empower your teams with the most powerful tools in the world—without compromising on data privacy. LLM token billing is handled directly through your existing cloud provider accounts with no markups.
Not sure where to start? Before implementing the Gateway, we can assess the maturity of your data structure as part of our AI Maturity Assessment and map out the optimal path to a production-ready Enterprise AI Foundation.
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