Field Notes on Customer AI
The human intelligence behind the artificial.
Beware: Your AI Will Not Replace a 'Central Executive'
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 0167 · August 25th, 2026
Each Tuesday, Field Notes on Customer AI surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Cust...
Aug 25, 2026
George Miller Was Right About NPS
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 016 · August 18th, 2026
Each Tuesday, Field Notes on Customer AI surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Cust...
Aug 18, 2026
The Intelligence Gap the Market Is Pricing
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 015 · August 11th, 2026
Each Tuesday, Field Notes on Customer AI surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Cust...
Aug 13, 2026
The Executive Sponsorship Issue
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 014 · August 4th, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs...
Aug 04, 2026
Why NPS was never enough, and what replaces it
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 013 · July 28th, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs s...
Jul 28, 2026
The AI is on the wrong side of the human
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 012 · July 21st, 2026
Each Tuesday, Field Notes on Customer AI surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Custom...
Jul 21, 2026
They Believed Us. Who Knew?
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 011 · July 14th, 2026
Each Tuesday, Field Notes on Customer AI surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Custom...
Jul 14, 2026
AI-Washing the Income Statement
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 010 · July 7th, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs s...
Jul 07, 2026
Enterprise AI Is Failing the Same Way Enterprise IT Always Did
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 010 · June 30, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs su...
Jun 30, 2026
The Survey Platform Reckoning
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 008 · June 16, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs su...
Jun 23, 2026
Why Culture Eats Customer AI for Breakfast
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 009 · June 23, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs su...
Jun 16, 2026
Bad Survey Data or Pure Guesswork? A Better Solution to Both
By Richard Owen & Maurice FitzGerald
Field Notes on Customer AI · Edition 007 · June 9, 2026
Each Tuesday, Field Notes surfaces what we're seeing in the field: patterns from implementations, ideas worth stress-testing, and the occasional inconvenient truth about how Customer AI programs suc...
Jun 09, 2026