AI Governance

Putting trustworthy AI into practice

We turn the EU AI Act, ISO/IEC 42001, and the NIS2 overlap on AI-supported critical functions into defensible governance that is auditable, ready for the board, and operationally embedded.

Frameworks

Foundational principles

01

Algorithmic Transparency

Auditable decision trails for every automated and generative system, with explainability that withstands scrutiny from the board, regulators and the public.

02

Risk & Bias Mitigation

Proactive identification of model bias, data drift, and operational vulnerabilities, managed within a defensible risk taxonomy.

03

Regulatory Adherence

Continuous alignment with the EU AI Act, ISO/IEC 42001, GDPR, and the NIS2 overlap on AI-supported critical functions.

Operating surface

NoetixGRC / AI Module

A single operating surface for every model in production, with risk ratings, evidence, and continuous monitoring.

AI Model RegistryIllustrative preview, sample data
Model drift1.8%30-day window
Bias score0.07Demographic parity
Audit coverage94%EU AI Act controls
Incidents (90d)20 high-severity

Explore NoetixGRC

In practice

Strategic applications

01

Model Auditing

Testing of LLMs and generative systems before deployment, covering bias, robustness, hallucination, and adversarial exposure.

02

Source-of-Truth Datasets

Verified lineage and integrity for every training, fine-tuning, and retrieval input, with each dataset traceable to its source, licence, and owner.

03

Continuous Monitoring

Live telemetry on model drift, output quality, and operational performance, with controls that escalate before harm occurs.

AI models & services

From data to governed AI

Trustworthy AI is not a model. It is a lifecycle. Our four service stages map the journey from raw data to governed, monitored AI in production. Every model lives inside a governed environment.

  1. 01AI & Data Discovery

    Noetix Assess

    Map every dataset, model, and AI use across your estate, including shadow AI. We surface what is in production, what feeds it, and where regulatory exposure already exists.

    • Model & dataset inventory
    • Shadow AI discovery
    • EU AI Act risk-tier classification
    • Training data lineage map
  2. 02AI Model Governance

    Noetix Govern

    Stand up your governance framework, covering policies, ownership, model cards, approval gates, and EU AI Act / ISO 42001 controls, then put it to work inside NoetixGRC.

    • AI policy & model card framework
    • Risk-tiered approval workflows
    • ISO/IEC 42001 control mapping
    • Bias & fairness review process
  3. 03AI Model Deployment

    Noetix Intelligence

    Build, deploy, and integrate predictive and generative AI inside your governed environment. Explainable, evidenced, and aligned with business KPIs from day one.

    • Predictive & generative model build
    • Retrieval-augmented generation (RAG)
    • Explainability & evaluation harness
    • Workflow & decision automation
  4. 04Continuous AI Assurance

    Noetix Retain

    Sustained monitoring of drift, bias, hallucination, and control effectiveness, with quarterly governance reviews and on-call response when models misbehave.

    • Drift, bias & hallucination monitoring
    • Quarterly AI governance reviews
    • Model retraining & version control
    • Incident response for AI systems
“AI without governance is a liability waiting to surface. The leaders who win the next decade will treat governance as their competitive architecture, not an afterthought bolted on after the first incident.”
Institutional benefits

Confidence for regulated institutions

01

Regulated Industries

Verifiable AI controls and automated risk reporting across finance, energy, healthcare, maritime, and telecoms.

02

Enterprise & Scale-ups

Board-grade AI assurance, supplier due diligence, and EU AI Act readiness for fast-moving private organisations.

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Next step

Take control of your AI governance

Request a strategic briefing tailored to your AI footprint, risk tier, and regulatory exposure, or take the AI Readiness Check.