AI Governance & Implementation | Anexia Digital Engineering

Compliant AI, in production.

The EU AI Act makes AI governance mandatory. We connect compliance with delivery — risk classification through to the live application.

Project manager Nina Albrecht

Compliance and delivery, together.

Governance without delivery stays on paper; delivery without governance becomes a risk. We provide both: risk classification under the EU AI Act, model cards and audits, plus logging and tests inside your CI/CD pipeline. Compliance becomes a fixed part of your software architecture: documented, traceable and production-ready.

  • AI governance

    Risk classification, documentation obligations and controls under the EU AI Act.

  • Prototype to production

    A structured path: PoC, validation, running model.

  • Autonomous AI agents

    Agent-based automation of enterprise processes, applied under control.

  • Documented

    Risk classification and evidence under the EU AI Act.

Approach

Governed by design.

  • Use case & data

    Sharpen the use case, assess data and feasibility. We review your processes and derive meaningful features from them.

  • Prototype & validation

    A PoC against clear success criteria, exposing risks early. Training with TensorFlow or PyTorch, secured through cross-validation.

  • Governance & compliance

    Risk classification under the EU AI Act, documentation and sign-offs. Model cards, audits and fairness tests prove compliance without gaps.

  • Production & operation

    Integration via APIs, monitoring and continuous retraining. Dashboards with Grafana and Prometheus, with drift detection triggering the retraining.

Compliant. No AI without governance.

We clarify the risk class under the EU AI Act, documentation via model cards and the path from prototype into operation. Arrange a conversation with our engineers.