I’m sharing something practical from my AI governance lecture.
Many people understand the urgency of AI governance.
But then comes the real question:
How do you explain it to your boss? Or to your clients?
What would be your credentials to know the topic?
Because urgency is not a budget line.
And every step costs money.
And every budget must be justified.
So I structured the materials in a very simple, logical sequence.
📂 File 1 – Business justification (PPT + PDF) (10 slides each)
This presentation explains why action is needed now, what risks exist if nothing is done, and what the logical next steps are.
You can adapt it to your company and use it to speak the language leadership understands: risk, cost, timing, and accountability
📂 File 2 – AI governance Implementation advice (22 slides: 11 each)
Practical guidance on how to layer AI governance on top of what you already have.
• If you work with CMMC or another security framework, it shows how to align AI governance using an audit-style verification approach.
• If you already run ISO 27001, ISO 9001, or ISO 20000-1, it explains how to integrate AI governance without rebuilding everything from scratch.
📂 File 3 – Regulatory mapping (US + global) (12 pages)
This file answers the question: What actually applies to us?
It maps the regulatory landscape so you can quickly see which AI rules touch your industry, products, services, and data types — and which ones don’t.
Elena Bobkova
📂 File 4 – Full list of AI laws and regulations + decision tree (5 pages)
Here is the updated list of AI laws and regulations in the United States (as of February 2026), along with key global developments.
At the end, there is a practical decision tree to help you determine what is applicable to your industry, products, or services — and what is not.
📂 File 5 – “This” lecture presentation (30 slides)
This is the full presentation you were listening to and seeing today.
It connects urgency, risk exposure, governance structure, implementation logic, and regulatory mapping into one coherent management narrative.
And finally —
📂 File 6 – How to use this effectively (visibility + credibility) 9 pages guide for the LinkedIn posting
After attending the lecture:
– Share your certificate of attendance.
– Post what you learned in clear, simple language.
– Connect it to your current controls, audit scope, or business risks.
Not for vanity, but for strategic positioning - strengthening your AI compliance credibility through professional networking and visible leadership.
To elevate Virginia’s business community toward a higher level of AI governance readiness.
Because governance is not only about internal controls.
It is also about visible competence and leadership maturity.
AI governance is not a science fair project.
It is a management decision.
And management decisions require structured arguments, practical steps, and regulatory clarity. That’s exactly what this full package is designed to support:
100 pages of overall materials: 98 from links plus 2 pages in this post for mapping the charts, ppt, guides and content
I would genuinely love to hear what was most useful for you - what helped in your work, your projects, or your business, and whether these materials made a real difference.
Your feedback matters. It helps me refine future lectures and make them even more practical.
And if this topic resonates with you, follow me on LinkedIn, Instagram, and YouTube for deeper discussions, practical frameworks, and real-world AI governance insights.
