AI Governance & Compliance
The EU AI Act is in force, regulators are staffing up, and your board has started asking who owns AI risk. The reflexive response — a policy PDF and a review committee — governs nothing while blocking everything. It's how enterprises end up with both stalled AI initiatives and ungoverned shadow AI at the same time.
We build governance into the systems instead: automatic logging of every model decision with inputs and versions attached, human oversight implemented as working approval gates rather than org-chart fiction, model inventories generated from what's actually deployed, and controls mapped to the frameworks your auditors cite — EU AI Act, NIST AI RMF, ISO 42001. Governance as architecture has a property the binder never has: it's true, continuously, and you can prove it on demand.
Decision audit trails
Every AI-touched outcome logged with inputs, versions, and rationale — evidence generated by the system itself.
Human oversight controls
Approval gates and escalation flows that satisfy Article 14 because they actually operate.
Model and system inventory
A living registry of what's deployed where — from the environment, not from surveys.
Framework mapping
EU AI Act, NIST AI RMF, and ISO 42001 controls implemented and evidenced, not just cited.
Governed velocity
Approval processes redesigned so compliant systems ship in weeks, not committee cycles.
Does the EU AI Act apply to us?
If you have EU users, employees, or customers touched by your AI systems, probably — the reach is extraterritorial, like GDPR's. The work is classifying your systems by risk tier and matching obligations to each. Most enterprise systems land in limited-risk tiers with manageable requirements; knowing which is the first deliverable.
Won't governance slow every AI project down?
Bad governance will — that's the committee model. Built-in governance does the opposite: when logging, oversight, and evidence are platform features, each new project inherits compliance instead of relitigating it. Our governed clients ship faster than ungoverned ones, because approval is a checklist, not a negotiation.
What does 'human oversight' require in practice?
A person with real authority, real context, and a real mechanism to intervene — before consequences, for high-risk decisions. A dashboard nobody watches doesn't qualify. We build review queues and override paths that operate daily, which is exactly what a regulator will ask you to demonstrate.
Put AI Governance & Compliance to work — in production.
One forward-deployed engineer, embedded in your stack, owning the outcome from discovery to production. Weeks, not quarters.
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