Deployment Frameworks &
Methodologies
The governance architectures and regulatory compliance frameworks that define responsible AI deployment practice — re-authored for the teams that build and operate AI systems.
EU AI Act Compliance: What Businesses Actually Need to Do
The EU AI Act is the world's first comprehensive AI regulation with legal teeth, and its deadlines moved in July 2026. The Digital Omnibus — Regulation (EU) 2026/1744 — came into force on 27 July 2026, deferring high-risk obligations to December 2027 while leaving the Article 50 transparency duties on 2 August 2026. This breakdown gives the timeline as amended, the obligations by role, and the capabilities a deployer must build.
GDPR Article 22: The Automated Decision Rule That Already Binds You
Long before the EU AI Act, GDPR Article 22 restricted decisions made solely by automated means. The CJEU's SCHUFA judgment widened it considerably — and confirmed that a human who rubber-stamps the algorithm does not make a decision human. For most European deployers this is the obligation that bites first.
ISO/IEC 42001: The AI Management System Standard, Operationalised
ISO/IEC 42001 is the first certifiable management system standard for artificial intelligence — and the only one that produces an audit certificate a customer or regulator will recognise. This breakdown covers the clause structure, the 38 Annex A controls, and how certification maps onto EU AI Act obligations.
The NIST AI Risk Management Framework: An Operational Breakdown
The NIST AI RMF is the closest thing to an authoritative governance blueprint that exists. This breakdown re-architects it into the operational reality of deploying AI in a business context — what each function actually demands from your teams.