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