Writing
Essays on how companies actually break: operations, AI implementation, and leadership. No inspiration, no theory without scar tissue. Written once, kept current.
Why AI automation projects fail before the first workflow is mapped: the failure is in the scoping, not the technology.
AIMost processes should be eliminated, clarified, or left alone. Automation is the right answer less often than it is sold.
OperationsWhen each is right, when each fails, and what to check before hiring either. A comparison from someone who has held both seats.
LeadershipWhy large fixed-scope projects fail the same way every time, and what a two-week diagnostic changes about the economics.
MethodHow a law firm loses partner hours without noticing, and what a 2.4× throughput result actually consisted of.
LegalMost companies do not have an AI problem. They have an unclear process, an unclear owner, an unclear offer, or a delivery model that breaks under pressure. AI only helps after the real constraint is named.
How the diagnostic works →