This report explores how AI is transforming product development from a human-centered workflow into a coordinated system of human and machine intelligence. It shows why the biggest gains will not come from faster code generation alone, but from redesigning the full development system around testing, validation, platform maturity, and governance. For product and technology leaders, it offers a clear view of what it takes to build AI-native organizations that move faster, learn faster, and scale with more reliability.

March 24, 2026

Automation has entered a new phase where AI is no longer limited to "assistive" outputs like drafts and summaries; it is now used to execute multi-step work and make operational decisions. The old "automate first, patch later" approach is breaking because modern automation is probabilistic, context-sensitive, and often opaque. Leaders are reporting measurable operational consequences, often tied to inaccuracy, while boards acknowledge that governance maturity is trailing deployment velocity.

February 24, 2026

The research examines how leaders are evaluating, measuring, and scaling AI investments to drive measurable business outcomes, and is provided to attendees after the event to support continued application beyond the live discussion.

February 11, 2026

The research examines how AI summaries and LLM-based answer engines are reshaping discovery and visibility, and is provided to attendees after the event to support continued application beyond the live discussion.

January 27, 2026

AI has entered a new phase inside modern technology companies. Adoption is no longer optional, experimentation is no longer impressive, and leadership teams are increasingly judged on whether AI investments translate into real productivity gains.

January 13, 2026