Policy, oversight, and risk management frameworks that keep your AI deployments accountable, auditable, and compliant as they scale.
As AI moves from pilot to production, governance stops being optional - who approved this use case, how is it monitored, what happens when it's wrong, and how do you prove that to a regulator.
Advatech builds AI governance frameworks appropriate to your risk profile and regulatory environment - covering policy, approval processes, monitoring, and audit readiness across every AI system you run.
Clear organizational policy on what AI can be used for, and under what approval process.
Structured risk assessment for each AI use case, proportionate to its actual stakes.
Ongoing monitoring of deployed AI systems for drift, bias, and performance degradation.
Assessment of AI systems for disparate impact across groups, before and after deployment.
AI deployments mapped against relevant regulatory requirements in your sector and region.
Documentation and audit trails that let you demonstrate control over AI decisions to a regulator.
Existing AI use cases inventoried and assessed against risk and regulatory exposure.
Governance policy and approval processes defined for future AI initiatives.
Ongoing monitoring stood up for drift, bias, and performance across deployed systems.
Documentation maintained to demonstrate control and compliance on demand.
Governance is cheaper to establish early with one or two use cases than to retrofit once AI has proliferated ungoverned across the organization - we scope it proportionate to your current footprint.
We map governance to whatever applies in your sector and region - data protection law, sector-specific financial or health regulation, and emerging AI-specific regulation.
Structured testing of model outputs across relevant demographic or business segments, looking for disparate outcomes that aren't justified by legitimate business factors.