A pilot proves possibility. An operating capability requires ownership, controls, economics, monitoring and an explicit path to scale.
Category Archives: AI & Technology
A practical way to move from assumed AI value to measured operational and financial evidence.
Design AI evaluation around real workflows, failure modes and operational thresholds instead of impressive examples.
Estimate automation value using volume, time saved, adoption, quality effects, implementation cost and ongoing operating cost.
Evaluate AI opportunities on value, data, workflow fit, reversibility and oversight before committing to a tool or automation.
Map work by judgment, repetition, data, reversibility and consequence before deciding whether AI should assist, recommend or execute.
Evaluate technology sourcing through strategic differentiation, time, total cost, control, switching costs and operating capability.
Move from individual assistance to integrated agents in deliberate stages, increasing controls as autonomy and consequences increase.