Executive Briefings on AI & Compliance
Short, actionable perspectives on AI regulation, governance, and strategy for real-world implementation.
You don’t need a complex AI system to create legal risk. In most companies, a single prompt, a copied spreadsheet, or a “quick check” with an AI tool is enough. No intent. No bad faith. Just everyday work.
The EU AI Act is not a policy exercise—it’s a liability framework. Certain AI practices are prohibited, others require documented controls, logging, human oversight, and incident processes. This article breaks down your obligations as a deployer or provider and includes a one-page readiness scorecard to identify your biggest legal gaps in 10 minutes.
AI risks rarely arise from strategy, but from everyday work, tools, and missing governance. This article provides a concise overview of how AI quietly enters organizations and how risks can be addressed deliberately – without slowing innovation.
AI compliance isn’t a checkbox — it’s a risk-based capability. This article shows how to classify AI use cases, translate the EU AI Act into practical controls, and build lightweight governance that stays audit-ready without slowing teams down.
Most first AI projects fail for predictable reasons: the wrong use case, unclear ownership, and no plan for data, evaluation, or governance. This article shows a pragmatic path to measurable results—fast learning, the right roles, and lightweight compliance that protects the business without slowing delivery.
The best AI projects don’t impress in demos—they move KPIs. Learn which project types consistently deliver impact and how to prioritize the right use cases.
