Operationalizing the EU AI Act: A Compliance Roadmap
What legal, risk, and compliance teams should be doing now to meet the staged obligations of the EU AI Act — from prohibited practice screening to high-risk system controls.
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Research, briefings, and practitioner analysis on the regulations, standards, and operational practices shaping enterprise AI governance.
What legal, risk, and compliance teams should be doing now to meet the staged obligations of the EU AI Act — from prohibited practice screening to high-risk system controls.
Translating the ISO 42001 management system requirements into concrete policies, controls, and audit-ready evidence for enterprise AI programs.
A practitioner framework for evaluating foundation model providers and AI-enabled SaaS vendors against governance, security, and accountability criteria.
Comparative analysis of emerging AI rules across major jurisdictions and what global organizations need to harmonize.
Designing a governance dashboard that gives directors meaningful oversight of AI risk without burying them in noise.
Extending the MRM playbook from traditional models to LLMs, retrieval pipelines, and agentic systems.
Data minimization, consent, and lawful basis when training and fine-tuning models on enterprise data.
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