EU AI Act readiness, risk management, and compliance frameworks tailored for growing organisations — backed by IBM watsonx.governance for continuous monitoring and control.
You don't need a large consulting firm to get AI governance right. ProActys brings focused, hands-on expertise to help growing organisations build practical governance frameworks — fully compliant with the EU AI Act and ready for what comes next.
We rely on IBM watsonx.governance as our core platform for model monitoring, risk management, and regulatory compliance — so you get industrial-strength tooling without the complexity of building from scratch.
A structured approach to embedding responsible AI practices across your organisation.
Map all AI systems, classify risk levels per EU AI Act categories, and identify governance gaps.
Create governance policies covering data ethics, model accountability, and human oversight.
Build a comprehensive AI system inventory with risk classification and impact assessments.
Configure watsonx.governance with approval workflows, model catalogues, and compliance checks.
Activate continuous monitoring for model drift, bias detection, and performance tracking.
Transfer ownership with hands-on training, documentation, and ongoing support.
Practical, ready-to-use artefacts designed for immediate operational impact.
Inventory of your AI systems with risk scores, mitigation plans, and clear ownership — managed inside watsonx.governance.
Tailored policies for data ethics, model accountability, and human oversight — sized for your organisation.
Step-by-step plan for meeting EU AI Act and Swiss regulatory obligations, with realistic timelines and milestones.
Fully configured platform with approval workflows, model catalogues, monitoring dashboards, and audit trails ready to operate.
Live drift detection, bias monitoring, and performance tracking — configured in watsonx.governance with automated alerts.
Hands-on workshops, quick-reference guides, and documentation so your team runs governance independently from day one.
Deep regulatory expertise across highly regulated sectors where AI governance is critical.
Credit scoring, AML, and algorithmic trading governance
Claims processing, underwriting, and risk model compliance
Citizen-facing AI, automated decision-making oversight
Route optimisation, demand forecasting governance
Scheduling, safety systems, and passenger AI governance