A comprehensive assessment of your organisation’s, processes’, and AI systems’ readiness for the requirements of the AI Act.
An audit that identifies real risks, gaps, and priorities — and delivers a clear, practical roadmap to regulatory compliance.
The AI Act significantly raises the bar for organisations that develop or deploy AI systems — from technical documentation and risk oversight to data governance and monitoring processes. At the same time, companies naturally focus on product and technology development, making it difficult to keep pace with detailed regulatory obligations and their interpretation.
Yet enterprise partners, investors, and prospective customers increasingly expect transparency, documented processes, and demonstrable readiness to meet AI Act requirements. As a result, organisations need a reliable, proportionate diagnosis: what already works, where the gaps are, and how to achieve full compliance efficiently.
A comprehensive assessment of your AI systems, processes, and documentation against the AI Act
Clear identification of gaps and action priorities, with a distinction between must-haves and nice-to-haves
Reduced risk of deployment blockers, delays, and lost B2B partnerships
A stronger negotiating position with enterprise customers, investors, and regulators
Practical capability to classify AI systems and implement obligations arising from the regulation
The AI Act Readiness Audit is a detailed assessment of an organisation’s and its AI systems’ compliance with the AI Act, covering processes, documentation, data, models, and organisational roles. The audit delivers a clear diagnosis together with a practical plan for next steps.
We identify AI systems and functionalities that may fall within the scope of the AI Act.
We perform AI Act classification — determining risk levels (minimal, limited, high-risk) and identifying systems using general-purpose AI models (GPAI).
We review documentation, processes, organisational roles, and workflows.
We assess data quality, legality, and how data is used within AI models.
We assign compliance and risk scores, highlighting priority areas.
We deliver a final diagnosis together with a realistic action plan.
We assess not only processes, but also models and data — always in the context of regulatory requirements.
Our recommendations are realistic and implementable, without slowing down product development.
We have supported organisations required to demonstrate process readiness and documented compliance.
Our team holds certifications essential for governance, data, and AI, including:
AIGP (AI Governance), ISO 27001 Lead Auditor, CDPSE, CIPP/E, supported by information security expertise (CompTIA Security+).
An AI system potentially classified as high-risk must meet extensive documentation and process requirements.
Compliance diagnosis, system classification, process and data analysis, and identification of gaps and implementation priorities.
The enterprise partner confirmed deployment readiness and a pilot was launched.
Clients required confirmation of AI Act compliance and documentation prior to contract signing.
A comprehensive AI Act Readiness Audit, preparation of compliance materials, and a clear roadmap.
The company increased its win rate and was able to serve financial and public-sector clients.
Explore answers to key questions regarding our services. Here, you will find quick and concise explanations designed to help you understand our offering.
Yes — this is the starting point of the assessment. We classify systems in line with the AI Act and determine provider or deployer obligations.
Yes — we analyse generative AI models, their use cases, and the resulting regulatory requirements.
Yes — the report is prepared in a format used in B2B processes, due diligence, and formal vendor assessments.
Yes — we assess legality, quality, documentation, and regulatory alignment of data use.
Yes — you receive a clear Gap Report and an implementation roadmap with priorities.
Yes — it increases project credibility and reduces risks assessed by investors.
Typically 4–8 weeks, depending on system complexity and documentation availability.
