About

About Aurelion Consulting

Boutique AI governance and EU AI Act advisory, providing structured, defensible compliance frameworks for organisations operating high-risk AI systems.

At the Intersection of Technology, Policy, and Accountability

Aurelion Consulting focuses on AI risk assessment, governance design, and regulatory readiness for organisations operating in high-risk and regulated environments.

The firm operates at the intersection of technology, policy, and accountability, assisting organisations in understanding how AI systems interact with emerging regulatory frameworks—including the EU AI Act, UK AI governance principles, and international standards.

Engagements emphasise structured analysis, documentation, and governance clarity rather than automation tools or legal representation.

Aurelion Consulting supports responsible AI adoption by making risk visible, governance practical, and compliance planning actionable.

Founder & Principal Adviser

Aurelion Consulting is led by a UK-trained legal professional with a research focus on AI governance and regulatory compliance. Holding both an LLB and an LLM with specialisation in artificial intelligence and intellectual property law, the founder brings a structured, analytically rigorous approach to AI risk assessment.

With experience analysing EU AI Act risk structures, Annex III classification frameworks, and cross-jurisdictional governance requirements, the founder operates as an independent AI governance strategist—providing objective, regulator-aware analysis without vendor affiliations or lobbying interests.

Education

  • LLB (Hons), University of Buckingham
  • LLM, Artificial Intelligence & Intellectual Property Law

Focus Areas

EU AI Act Compliance

Risk classification, conformity assessments, and regulatory readiness under Regulation (EU) 2024/1689.

High-Risk AI System Classification

Annex III analysis, Article 6 assessment, and structured classification methodology.

Governance Documentation

Audit-ready documentation frameworks aligned with regulatory expectations and enforcement standards.

Multi-Jurisdictional Regulatory Analysis

Navigating overlapping requirements across EU, UK, and emerging global AI governance regimes.

Engagement Examples

Representative Scenarios

The following are illustrative examples of the type of engagement Aurelion Consulting undertakes. They represent composite scenarios based on common regulatory challenges, not specific client engagements.

1

UK-Based AI Hiring Platform

Regulatory Risk Identified

Automated candidate screening using machine learning models trained on historical hiring data, deployed across EU markets without prior risk classification.

Exposure Under EU AI Act

High-risk classification under EU AI Act Annex III, Category 4 (Employment, workers management and access to self-employment) — specifically Article 6(2) systems intended for recruitment and selection of natural persons.

Governance Gaps Found

  • No formal AI risk classification had been conducted
  • Absence of human oversight mechanisms for automated decisions
  • Training data documentation insufficient for conformity assessment
  • No bias monitoring or fundamental rights impact assessment in place

Remediation Plan Delivered

Structured risk classification memorandum, governance framework aligned with Article 9 (Risk Management System) requirements, documentation templates for Article 11 (Technical Documentation), and a phased compliance roadmap with quarterly milestones.

2

EU Fintech Credit Scoring Provider

Regulatory Risk Identified

AI-driven creditworthiness assessment system used by multiple banking partners across three EU member states, processing consumer financial data without adequate transparency mechanisms.

Exposure Under EU AI Act

High-risk classification under Annex III, Category 5(b) (Access to essential private services — creditworthiness evaluation) — with additional GDPR Article 22 automated decision-making obligations.

Governance Gaps Found

  • No Article 13 (Transparency) compliance measures for end users
  • Insufficient logging and audit trail for regulatory inspection
  • Cross-border deployment without jurisdictional regulatory mapping
  • No documented process for human review of adverse decisions

Remediation Plan Delivered

Comprehensive regulatory gap analysis covering both EU AI Act and GDPR obligations, transparency framework for Article 13 compliance, audit trail architecture specification, and multi-jurisdictional regulatory mapping across deployment markets.

These scenarios are illustrative composites designed to demonstrate the type of analysis Aurelion Consulting provides. They do not represent specific client engagements and should not be interpreted as guarantees of outcomes. Each engagement is assessed on its own facts and circumstances.

Approach

Principles that guide engagements with organisations navigating AI governance.

Structured Analysis

Methodical, documented approaches to AI risk assessment and governance design.

Risk Visibility

Making AI risks visible and understandable for informed decision-making at all levels.

Practical Governance

Governance frameworks that are implementable, proportionate, and defensible.

Actionable Planning

Compliance planning that translates into concrete steps and measurable progress.

Discuss Your Governance Requirements

Confidential inquiries welcome. All communications are handled in accordance with applicable data protection standards.

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