[Part 2] Finance Leader’s Guide to AI Strategies & Real World Applications

In this webinar, Matija Nakić (CEO, Farseer) and Božidara Cvetković (Data Science Team Lead, BE-terna) break down what it actually takes to make AI work inside a company — moving beyond the hype and into practical frameworks, real implementation lessons, and honest advice from over a decade of corporate AI experience.

This is the second part of a two-session series for finance leaders exploring how AI can be applied strategically and sustainably in a business environment.

What you’ll learn:

• Why approximately 85% of AI and machine learning projects fail and what the most common barriers really are, from unclear strategy to data quality issues and organizational silos
• How to identify the right problems to solve with AI, and when a simpler, cheaper approach will deliver better ROI
• What a proof of concept and proof of value look like in practice, including a real example where AI automation reduced stock levels by €100,000 and automated 85% of ordering decisions
• The three pillars of successful AI implementation: vision and strategy, change management, and data and technology management
• How to build leadership buy-in, set realistic expectations, and create a culture of curiosity and experimentation that actually sticks

The session also includes a curated AI toolbox — a list of recommended books, courses, and tools for finance and business leaders looking to start or accelerate their AI journey, shared with all attendees after the webinar.

Who this is for: CFOs, finance directors, FP&A managers, and business leaders who want to move from AI curiosity to confident, structured implementation — without getting lost in the technical details.