AI Governance
Navigating the governance demands AI places on your organisation
Rōne · by mavam.io
Enterprises deploying AI at scale operate in a regulatory landscape that is still being written. Rōne is the AI governance practice of mavam.io: a place to think clearly about what compliance, responsibility, and risk mean for your organisation, and then to build the structures that hold.
EU AI Act Compliance
From risk classification through technical documentation and post-market monitoring: a complete compliance lifecycle, calibrated to the obligations that actually apply to your systems.
EU AI ActGovernance Framework Design
Enterprise AI governance built to ISO 42001, OECD principles, and the EU regulatory perimeter. Policies, accountability, and the operating rhythms that make them real.
ISO 42001 alignedResponsible AI Strategy
Strategic positioning for organisations whose AI sits at the intersection of multiple regulatory regimes. Ethics, engagement, and the credible posture that follows from both.
Responsible AIAI Risk & Incident Management
Model risk assessment, impact evaluation, monitoring, and incident response: held across the full lifecycle of an AI system, not only at audit.
Risk Management