Regulatory risk assessment, EU AI Act readiness, and compliance architecture for AI deployments. We bridge the gap between legal text and running systems.
The EU AI Act is in force. Most businesses know they need to do something but don’t know what. Legal teams understand the regulation but can’t assess technical systems. Engineering teams understand the systems but can’t interpret the regulation. The result is either paralysis or checkbox compliance that won’t survive scrutiny.
The EU AI Act’s provider/deployer framework doesn’t map cleanly to modern agentic architectures — orchestration layers, tool chains, and multi-model systems create regulatory gaps
Compliance teams are producing risk registers that don’t connect to actual system architecture
"AI governance" at most companies means a policy document nobody reads, not runtime controls
Companies deploying AI in regulated sectors face sector-specific obligations on top of the AI Act
Classify your AI systems under the EU AI Act, identify obligations, map gaps between current state and compliance requirements.
Design governance that is embedded in your system — audit logging, human oversight triggers, data lineage, output validation.
Determine your obligations in multi-party AI value chains, especially where orchestration layers blur the provider-deployer boundary.
Article 9 compliant risk management frameworks tied to your actual technical architecture.
Technical documentation, conformity assessments, transparency obligations.
As the regulatory landscape evolves, we keep your posture current.
Map your AI systems, classify risk levels, identify regulatory obligations and gaps.
Evaluate whether your current technical architecture supports the governance requirements.
Prioritised roadmap to close gaps, with clear ownership and timelines.
Work with your engineering team to embed governance controls in the architecture.
Periodic reassessment as systems evolve and regulation matures.
Companies deploying AI in the EU market who need to understand their obligations under the AI Act
LegalTech and FinTech companies facing sector-specific regulation on top of horizontal AI regulation
Businesses using third-party AI models and tools who need to understand their deployer obligations
Companies building agentic systems where the orchestration layer makes decisions that may carry regulatory significance
Legal and compliance teams who need a technical translator to assess AI systems
Whether you are preparing for the EU AI Act, responding to investor due diligence, or simply want to know where you stand — let’s start with an honest assessment.