Marina Alex works directly with businesses putting AI into practice. Across dozens of companies and industries, she sees promising AI initiatives run into familiar challenges: unclear business goals, workflows that haven’t changed, teams left out of the process, and no clear way to measure return.

In this experience-based session, Marina shares real, anonymized business cases from her consulting work. She shows what each company hoped AI would improve, where implementation got stuck, what leaders and teams did next, and how they could measure the business impact.

Attendees will learn to diagnose why an AI initiative is stalled, connect AI to a real work problem, plan a focused pilot, and track costs, benefits, and ROI. They’ll leave with a practical implementation canvas they can use with their own teams.

Audience: Business leaders, managers, and data and AI professionals involved in evaluating or implementing AI. No advanced technical background is required.

Format: Practical, case-based session with anonymized examples from companies across industries and a short AI implementation canvas exercise.

Takeaway: Participants leave with a framework to identify implementation risks, plan a focused pilot, and measure business value and ROI.

Duration: 60 minutes preferred; adaptable to 45 minutes.

Technical needs: Projector and screen, HDMI or USB-C connection, and microphone. Attendees do not need laptops or software accounts.