AI FinOps & Enterprise Governance AI Gateway: Consulting and Integration
We provide independent advice to help you choose the right AI gateway and integrate the solution production-ready into your existing system landscape.
Your Path to a Made-to-Measure AI Gateway
Our ServicesFrom initial architectural decisions right through to day-to-day operations, we support you as partners on an eye-to-eye basis.
Sourcing and Product Selection
Independent evaluation of open-source and commercial gateway solutions, tailored to your IT environment.
Architecture and Enterprise-Level Integration
A production-ready integration with SSO, internal tools, DevSecOps pipelines and local AI infrastructures.
Client Integration and Enablement
Configuration of your developer clients, provision of curated model tiers and training of your in-house teams.
Customization, Operations and Day-2
Development of customized extensions and AI agents, configuration of failover routing, monitoring as well as ongoing operation and support.
Turn Uncontrolled AI Growth Into Secure Enterprise Governance
As an independent engineering partner, we support you every step of the way, from strategy through to operation: together, we analyse your requirements, identify the right AI gateway, assist with procurement and integrate the solution into your system landscape, ready for production.
What’s in it for you: You avoid time-consuming research and costly detours. Instead, you get a modular, scalable AI infrastructure that your team can manage independently from day one.
Data Governance and Compliance
Ensure GDPR compliance and the protection of sensitive data. Manage access rights at model level, comply with data residency requirements, and route critical queries automatically to approved models.
AI FinOps and Cost Control
Monitor and manage your AI costs centrally. Consolidate contracts and licences, prevent uncontrolled budget overspending and establish cost allocation based on usage by tracking model and token usage.
Enterprise System Integration
We fully integrate your AI Gateway into your existing IT infrastructure. A seamless connection to your SSO providers, internal tools and monitoring pipelines ensures that your processes work together smoothly.
Resilience and High Availability
Ensure your operations remain stable in the event of provider outages, latency spikes or API throttling. Intelligent failover routing guarantees the constant availability of your systems, and you can replace models flexibly and without significant migration effort whenever necessary.
Control your AI usage before it goes large-scale.
Book a free, 30-minute consultation for an independent assessment of suitable AI gateway architectures and specific integration steps.
Ensure maximum flexibility for your AI users
Protocol Agnosticism & Decoupling
Your developers code against a standardised interface. Switching between models and providers (e.g. between OpenAI, Anthropic or Open Weights) happens without the need for any changes to the application code.
Curated Model Tiers
Your teams switch flexibly between large proprietary LLMs, which offer intensive computing power for complex reasoning and sophisticated agents, and cost-effective open-source models, ideally suited to routine tasks.
Project-specific management
Allocate API keys and budgets specifically to individual projects, tasks or autonomous agents. This allows you to maintain full cost transparency at all times and benefit from precise, detailed access control.
Secure MCP & Tool Integration
Your team benefits from easy, centralised and secure access to AI agents and interfaces (e.g. via the Model Context Protocol). The solution provides reliable support for both development teams and business departments.
🗓️ Appointments available
Book your initial consultation - free of charge and without obligation.
Yaren Sahin
Account Manager New Business
I look forward to your inquiry.
Yaren Sahin
Is Your AI Infrastructure Ready for Compliance, FinOps and Scale?
Book a free, 30-minute consultation now for an independent assessment and first recommendations.
- Which use cases are your main focus?
- How is the use of AI currently integrated?
- Which models, APIs, SSO systems and inference providers are you already using?
- What approaches have been taken so far, and what are the current challenges in terms of FinOps or governance?