Skip to content
Back to course

19.2 AI Product Management

An AI product manager guides a product from idea to launch when the core feature is powered by machine learning. The big difference from normal software is uncertainty: the model's output is probabilistic, so the PM must plan for errors, set quality thresholds, and design good fallbacks.

promptAI
An AI product flow: user input goes to the model, then through quality checks and fallbacks before reaching the user.

Imagine a Telebirr-style app adding an AI assistant that suggests how to split a bill. The PM must decide what happens when the assistant is unsure: does it ask a clarifying question, or hand the user back to a manual screen? That fallback design is the real product work.

Scenario

Your AI feature is right 85% of the time. A wrong answer could cost a user money. What is the best design choice?

Check your understanding

1/4 · 40 XP

What makes AI product management different from traditional software PM?