How to choose your first automation.
A practical scorecard for identifying a workflow worth improving, before investing in a build.
Read the field noteA little clarity
before the complexity.
Practical thinking for the people responsible for making automation work. Written around decisions, not buzzwords.
A better business case than “hours saved.”
Model useful capacity, review effort, operating costs, and payback without confusing an estimate with a guaranteed return.
Read the field noteWhere human approval belongs in an AI workflow.
Design review around authority, evidence, and changing source data—not a decorative approve button.
Read the field noteWhat a production-ready workflow actually needs.
The operational details that turn a convincing demonstration into a system a team can depend on.
Read the field note