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

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
