AI & Algorithmic Risk Assessments

 Structured scrutiny for complex systems. 

We assess algorithmic and AI systems focusing on legality, fairness, and human impact. From high-risk models to everyday automation, we investigate how your systems behave and what that behaviour means under the law.

Whether you're developing in-house, deploying third-party tools, or preparing for scrutiny under the Online Safety Act, AI Act, GDPR, DSA, or conformity assessment regimes, our approach combines technical understanding with legal precision and behavioural insight.

We don’t just audit systems. We interrogate their logic, trace their consequences, and document what regulators, users, or critics might ask next.

 Critical analysis across systems, structures, and signals 

We examine AI and algorithmic systems in context — as technical processes and as decision-making architectures with social and legal consequences. 

We look at what the system is built to do, what it does, and who it affects.

This includes reviewing data provenance, training inputs, personalisation parameters, behavioural interfaces, and embedded risks such as bias, opacity, or loss of autonomy.

We assess exposure under applicable legal frameworks, including the AI Act, GDPR, Online Safety Act, and DSA — and trace how risk travels across the system.

We don’t audit features in isolation. We assess how systems operate in the real world — and what they demand from the people they govern.

 Clarity, evidence, and accountability — built into every assessment 

We produce risk assessments that are more than regulatory paperwork. Each output is tailored to your system’s technical structure, legal obligations, and organisational context — with clear documentation, sharp analysis, and actionable insight.

Deliverables typically include:

• A full written report detailing system function, risk exposure, and legal obligations
• An annotated risk matrix covering severity, likelihood, and regulatory relevance
• Targeted recommendations for mitigation, redesign, or internal governance

We don’t produce theoretical reviews. We deliver structured, defensible assessments designed for real-world scrutiny and strategic decision-making.

 Organisations deploying systems with real-world consequences.

Our assessments support organisations that design, procure, or rely on algorithmic systems to make or shape decisions — particularly where those systems affect rights, access, or accountability.

We work across sectors, including:

• Companies developing or deploying high-risk AI or automated decision-making tools
• Public bodies using algorithmic systems in education, health, policing, or social services
• Legal, compliance, or ethics teams preparing for AI Act or GDPR scrutiny
• Procurement teams evaluating systems for fairness, transparency, and compliance 

If your system influences how people are profiled, treated, or excluded — our job is to ask the questions it was not designed to answer. 

 Flexible support grounded in system-specific complexity 

We tailor each engagement to the system's architecture, scope, and regulatory exposure. Whether you need a single audit or an embedded advisory role, we structure the work to align with your internal capacity and external obligations.

We offer:

• Standalone assessments of individual models or systems
• Portfolio reviews across multiple use cases or products 
• Regulatory readiness support aligned with AI Act and GDPR requirements
• Independent input for ethics boards, procurement processes, or public disclosures
   

We don’t standardise risk. We build engagements around what your system does — and who it affects.