Notes on
delivery.
Practical decisions for useful AI, grounded in published customer work and engineering guidance.
01
Discovery
02Learn the business before the build.
Start with the people, information and constraints behind a real piece of work.
3 min read · Sources linked in each noteEvaluation
03Decide what good means before release.
Check useful completion, quality, review effort and operating cost together.
3 min read · Sources linked in each noteHuman decisions
04Give autonomy a clear boundary.
Make it clear what runs, what gets prepared, and where a person decides.
3 min read · Sources linked in each noteEngineering judgment
05Choose the smallest useful system.
Let the workflow and its failure modes determine the architecture.
2 min read · Sources linked in each noteDaily use
Make adoption part of the delivery.
Help a tested workflow become useful, repeated work for the team.
2 min read · Sources linked in each noteThese notes reference the publishers’ own customer stories and engineering guidance. Their findings inform our method; each customer engagement still needs its own scope, evaluation and operating decisions.