DATA & AI GOVERNANCE

This gives you an end-to-end governance model where roles, decision rights, and accountability are clearly defined so everyone understands who is responsible for what. You receive comprehensive policies and processes that set clear rules for the use of data and AI, aligned with the AI Act, NIS2, GDPR, and other relevant industry regulations. Continuous quality controls ensure that data remains accurate, complete, and consistent through automated checks.

An AI Act compliance framework provides all required documentation, approval workflows, and audit trails so that your organisation is always inspection-ready.

Technical security controls include AI native monitoring, such as prompt lineage, tool calls, and policy verdicts, along with drift detection, misalignment detection, and incident response capabilities. A structured approach to risk management supports the identification, assessment, and mitigation of compliance, security, and AI-specific risks. Transparent operations provide full visibility into data flows, AI decision making, system behaviour, and costs. Ethical AI guidelines define principles and thresholds for fairness, transparency, explainability, and accountability.

Continuous assurance processes, including quarterly TEVV cycles, post-market surveillance, residual risk scorecards, and compliance reporting, help maintain long-term oversight. Finally, audit readiness is supported through evidence packs, technical documentation, and clear conformity trails for regulatory inspections.