Introducing AI Operating System for Business & School — our most powerful products yet.Explore products →
App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
The EU AI Act is the European Union's landmark regulatory framework for artificial intelligence, adopting a risk-based approach that classifies AI systems into four categories: unacceptable risk (prohibited), high risk (strictly regulated), limited risk (transparency obligations), and minimal risk (unregulated). For companies building AI-powered software, the Act introduces requirements for risk management, data governance, technical documentation, transparency, human oversight, and accuracy/robustness. While EU legislation, its extraterritorial reach means any organisation deploying AI systems that affect EU residents must comply. The Act entered into force in 2024 with phased implementation through 2027.
The EU AI Act is the European Union's landmark regulatory framework for artificial intelligence, adopting a risk-based approach that classifies AI systems into four categories: unacceptable risk (prohibited), high risk (strictly regulated), limited risk (transparency obligations), and minimal risk (unregulated). For companies building AI-powered software, the Act introduces requirements for risk management, data governance, technical documentation, transparency, human oversight, and accuracy/robustness. While EU legislation, its extraterritorial reach means any organisation deploying AI systems that affect EU residents must comply. The Act entered into force in 2024 with phased implementation through 2027.
Formal assessment and classification of AI systems into risk categories with appropriate compliance obligations for each tier.
Clear disclosure when users are interacting with an AI system, labelling of AI-generated content, and provision of meaningful information about system capabilities and limitations.
Design measures enabling human review and override of AI decisions, particularly for high-risk systems affecting individual rights.
Training data must be subject to appropriate governance practices — including bias examination, relevance assessment, and documentation of data provenance.
Detailed documentation covering system design, development methodology, training data, performance metrics, and risk mitigation measures for authorities upon request.
As an AI engineering studio, the EU AI Act directly shapes how we architect and document machine learning systems for our clients. We implement the Act's risk-based framework as a practical engineering methodology — classifying every AI feature by its risk profile and applying proportionate controls. Our MLOps pipelines include automated model documentation, bias monitoring, and explainability tooling that satisfies the Act's transparency and documentation requirements. We help clients navigate the distinction between prohibited, high-risk, and minimal-risk AI applications, building compliance into the product strategy from the start.
Explore other compliance standards we engineer for.
The European Union's landmark data protection regulation — the most influential privacy framework in the world, setting the global standard.
Learn moreThe gold standard for service organisations — audited security controls that prove your platform protects customer data.
Learn moreThe internationally recognised standard for information security management systems — the most widely adopted certification for security excellence.
Learn moreTell us about your compliance requirements and we'll show you how our engineering team can build a system that meets every regulatory standard that matters to your business.
Free consultation. No obligation. Response within 2 business hours.
We have shipped 200+ projects for clients across fintech, healthtech, SaaS, and enterprise — many requiring multi-framework compliance.