Scrum Product Owner I — AI

The reasoning beneath agile product management: Agile values and principles, empiricism, lean product thinking, why an empirical framework still matters when delivery accelerates, and an introduction to AI agents and specification-driven development.

Scrum framework essentials through a product lens, covering theory, team, events and artifacts, including artifacts as a source of instruction for AI agents and what Done means when an agent produced the work.

Who the Product Owner is and what they are accountable for, which is maximizing the value of the product, and how the role works with the Scrum Master, the Developers and stakeholders, including the accountability that stays human when AI assists.

The core craft: building, ordering and refining the Product Backlog, the quality of backlog items, stories and acceptance criteria, estimation and story mapping, and their AI-era evolution into agent-executable specifications, AI-assisted refinement, and the feature-factory trap that AI amplifies.

The strategic half of the role: product vision, the Product Goal, maximizing and measuring value, roadmaps, forecasting and release planning, business strategy and stakeholder management, with AI applied to roadmap and strategic analysis.