From Idea to Result: How Analysts Turn Hypotheses into AI-Products

Implementing artificial intelligence in corporate processes is a systematic effort where every idea undergoes rigorous validation. With limited resources and stringent information security requirements, experimenting directly on live business operations is simply not an option. That’s why the key tool becomes the hypothesis testing process: from formulation and data evaluation to running experiments and calculating economic impact.

In this talk, I will demonstrate how this process operates within a corporation, what criteria help filter out weak ideas and focus on promising ones. We will examine the roles of business and system analysts in hypothesis validation, their contribution to requirements formalisation, AI integration into the architecture, and ensuring solution scalability.

Participants will learn how to turn the AI hype into real business value, minimise risks, and build a corporate AI implementation process that delivers results—not just presentation slides.