AI Governance Suite

AI Governance Suite

Our AI Governance Suite acts as a regulation-compliant gateway, logging and ensuring compliance between your organization and AI models. This prevents shadow AI, data leaks, and unexpected bills while ensuring compliance with the EU AI Act, NIS2, and DORA.

One place to run AI right

Billennium’s AI Governance Suite is a vendor-agnostic AI gateway with logging, cost, and compliance layers for all your models and assistants. It acts as a bridge between your users/apps and any LLM (OpenAI, Azure, Anthropic, on-premise, or EU-sovereign models), ensuring that every AI request is controlled, logged, and optimized.

The suite is built on enterprise-grade components and is specifically designed for European, data-sensitive, and regulated organizations.

What is Shadow AI?

Employees using AI tools like ChatGPT without IT approval pose hidden risks to data security and compliance.
Shadow AI is already present within your company. Don’t let it compromise your data.

What the suite gives you

  • Unified access

    One controlled entry point for all models with identity and rules.
  • Full clarity

    On usage and cost insights across teams with complete traceability.
  • Smart guardrails

    Safety and privacy controls aligned with EI AI Act, NIS2, DORA and ISO 42001.
  • Continuous care

    Ongoing support and optimization so you focus on delivery.
  • Managed service

    For gateway and compliance, ensuring the highest quality standards.
  • Granular visibility

    On who used what, to ensure compliance requirements are met.

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Why teams choose us

  • Regulation-native Designed for EU AI Act, NIS2, DORA & ISO 42001.
  • Managed service DEPLOY → GOVERN → OPTIMIZE as an ongoing.
  • Vendor-agnostic Works across OpenAI, Azure, Anthropic & EU- sovereign models.
Regulation-native Designed for EU AI Act, NIS2, DORA & ISO 42001.
Managed service DEPLOY → GOVERN → OPTIMIZE as an ongoing.
Vendor-agnostic Works across OpenAI, Azure, Anthropic & EU- sovereign models.

Three steps to run AI right

  1. Foundation. Launch gateway & logging.
    Outcome: First governed use case live in ~4 weeks.
  2. Control. Telemetry, privacy rules & compliance mapping.
    Outcome: Visible, AI-Act-ready AI estate.
  3. Scale. Shared RAG patterns & managed ops.
    Outcome: Sustainable Platform.
  • 01

    Control Shadow AI

    Implement a single gateway that integrates ChatGPT, Anthropic, Google, and OSS API & bots, ensuring secure single sign-on (SSO) and comprehensive logging.

  • 02

    Compliance Evidence

    Provide a single audit trail that answers the question “who used what?” to comply with the AI Act, NIS2, and DORA regulations.

  • 03

    Reduce Costs

    Route traffic to the right models. With these policies, clients typically see a 15–25% reduction in LLM spend.

  • 04

    Standardise Agents

    Roll out RAG applications on shared patterns with consistent policies across all platforms.

Bring your AI out of the shadows

A shared foundation to keep every model and assistant safe, synced and traceable.

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