Alexandra Popa

Based on my own GovernanceEngine tool. Could include a live demo or walkthrough showing how LLMs translate governance policy into code.
Takeaways: What’s possible now with open-source AI, dangers of naïve automation, how to build a usable bridge between business and code.

Forget 400-page frameworks and endless steering committees. This talk dives into how to build lean, real-world AI governance using tools you already have: policies, access control, audit trails, and a dash of logic. You'll see how even small organizations can embed accountability and ethics into data pipelines, LLM usage, and retrieval systems—without becoming boring or broke.

An open mentoring/coaching session for anyone who wants to transition from analyst to strategist, land senior roles, or figure out if they want to freelance or consult someday. Come with questions—I’ll share lessons learned from 15+ years of growth, burnout, comebacks, and high-stakes consulting.

Most teams model domains, but few model themselves—their governance flows, access controls, ethical review points, and structural bottlenecks. In this hands-on workshop, we’ll use domain storytelling to map how data and decisions flow through your organization, exposing blind spots and hidden risks. Great for teams working on AI, analytics, or compliance-critical systems. You’ll walk out with a visual map and actionable insights.