EU AI Act: What Executives Need to Do This Quarter
Practical AI Compliance Kit and Playbook
Hey AI Productivity Leader,
Cybersecurity and compliance have always been top of mind for me, given some of my experience in that area.
What’s interesting is that with AI, the attack surface has increased dramatically in the last 3 years.
It is no longer just a matter of patching servers and locking down accounts. Now you have prompts, agent behaviours, third-party models, and training data pipelines that can all be abused or misconfigured.
That matters because these are new vectors for old problems.
Data can leak through a clever prompt. A vendor model can be a weak link in your supply chain. An agent with write access can make a costly mistake in minutes.
So when I say this is an operations problem, I mean it. Your playbook has to cover people, process, and the model layer, not just infrastructure.
Case in point, this week in AI, especially in the EU, felt like two worlds colliding.
Brussels moved from talk to action with the General Purpose AI code guidance and new EU obligations landed on a real timeline.
So yes, it is a policy moment, but more importantly for you as a C-suite leader, if your company sells to or operates in the EU, this is no longer a policy debate.
New obligations for General Purpose AI models and a Commission code (a.k.a GDPR on steroids) of practice went public this summer and start to bite on August 2, 2025.
That means regulators, not just lawyers, will expect concrete artifacts from operations teams: inventories, training data summaries, audit logs, and clear human review gates.
Penalties are real and meaningful for companies that are not in compliance.
The law puts steep fines on the table and gives national authorities the power to inspect, notify, and enforce across Member States. If you are slow to act, you risk regulatory action and expensive remediation at the same time your competitors are iterating safely.
Think about this post as your quarter playbook with no legal lecture, no model math.
Just six concrete moves you can start this week, the one-page artifacts to produce, and the governance you need to report to the CEO and the board.
But first, a quick disclaimer.
Disclaimer: This post is for informational and operational guidance only and does not constitute legal, regulatory, tax, accounting, or other professional advice. The content is based on publicly available information as of August 16, 2025, and no representation is made as to its completeness or accuracy. Neither the author, Sameer Khan, nor any of their affiliates, parents, subsidiaries, officers, directors, employees, agents, successors, assigns, or heirs (the “Author Parties”) accept liability for actions taken in reliance on this post. You should consult your legal, compliance, privacy, and security teams before implementing any recommendation here. To the fullest extent permitted by applicable law, the Author Parties disclaim all warranties and will not be liable for any direct, indirect, incidental, or consequential damages arising from use of this content.
Table of contents
What changed this quarter: the concrete obligations ops leaders must know
The quarter playbook: six concrete operational moves you can run this month
Governance, KPIs, and next steps to report to the board
Paid subscriber benefits:
Printable EU Compliance Starter Kit.
One-page Pilot Checklist
Training-Data Summary CSV Template
Concrete obligations Global Ops Leaders must know
GPAI stands for General-Aurpose AI, which is applicable for large, widely-usable models (think GPT, Gemini, Claude) that are trained at scale and can be dropped into many different products and workflows.
The AI Act treats these models differently because their reach and impact are broad, which is why the Commission published specific guidelines and a voluntary Code of Practice for GPAI providers in July 2025, and obligations start applying on August 2, 2025.
I am sure your legal teams are all over it, but I want to share practical takeaways you need on your radar right now.
Timeline and scope: GPAI rules apply starting August 2, 2025. Member States have been required to name national competent authorities to supervise and enforce the AI Act. Expect inspections and requests for documentation from those authorities.
Documentation requirements: Providers and deployers must prepare clear, auditable records: model inventories, technical documentation, and summaries of training data provenance for GPAI models. Regulators want to see what data fed a model, basic provenance notes, and any copyright or licensing checks.
Incident reporting and governance: Serious incidents and systemic risks must be tracked, documented, and reported without undue delay. That means an incident playbook, a named reporter, and a repeatable timeline for escalation.
Real enforcement teeth: The law includes heavy penalties for noncompliance and gives national authorities the tools to inspect and act. The Code of Practice is voluntary but will shape regulator expectations and be used as a compliance yardstick. Signaling cooperation with the Code may buy you regulatory credibility.
Why do you care as a global leader?
GPAI rules mean regulators will expect explainability about how these models were trained, simple summaries of training data and provenance, and operational controls where GPAI is used inside your systems. Those are exactly the artifacts your ops team must be able to produce quickly.
