AI Risk & Governance

Only 1.6% of organisations have fully integrated AI into compliance processes. That means 98.4% remain exposed to major regulatory risk. 

Fines under the EU AI Act can reach €35M or 7% of global turnover and enforcement is coming fast. 

The new regulation demands AI deployers implement risk management frameworks across all AI systems — not just high-risk ones. 

Undocumented AI systems, unclear risk classifications, and incomplete vendor documentation create regulatory blind spots. Our comprehensive assessment combines automated data flow analysis with customer and employee AI evaluation to establish complete visibility across your AI ecosystem. 

• Automated AI system testing with comprehensive data flow mapping, risk classification, and vulnerability detection across your entire technology stack 
• Customer and employee AI assessment delivering transparency compliance, explainability frameworks, and worker rights protection with comprehensive documentation 

 Complete visibility into your AI ecosystem with regulatory risk quantification plus gap analysis and strategic remediation priorities.

 Product roadmaps developed without regulatory consideration create expensive delays and redesign requirements. Our strategic analysis identifies compliance risks before development begins whilst translating complex regulatory obligations into actionable technical specifications. 

• Product roadmap risk analysis evaluating planned AI features against regulatory requirements with predictive risk assessment and prioritisations frameworks.
• Comprehensive requirements framework providing detailed AI Act specifications tailored to your development workflows with technical implementation guidelines.

Proactive compliance planning reducing development rework whilst ensuring regulatory alignment and clear implementation roadmap. 

Without systematic implementation, compliance remains reactive crisis management rather than sustainable competitive advantage. Our comprehensive approach transforms existing systems whilst embedding compliance into your organisational workflows, creating operational excellence.  

•  Legacy system retrofitting strategy providing systematic approaches to upgrade existing AI systems with minimal business disruption and comprehensive compliance documentation.
• End-to-end workflow redesign embedding AI compliance throughout R&D processes with automated monitoring, governance frameworks, and continuous improvement capabilities.

 Faster development through embedded compliance, cutting retrofitting costs by 70% and driving long-term competitive advantage.