Start with the transition.
Most useful automations live between two states: a lead becomes qualified, a request becomes approved, or a conversation becomes a task with an owner. Those transitions already contain the business rules.
Map who provides context, who can decide, and what evidence moves the work forward. The AI implementation becomes clearer because it has a place in a process rather than a vague mandate to help.
Automate the transition before you automate the judgment.
Preserve ownership at the handoff.
Automation should make ownership more obvious, not less. Every output needs a destination, every exception needs a person, and every decision needs enough context to be reviewed later.
When no one owns the handoff, the system creates invisible work. People check behind it, maintain private spreadsheets, and stop trusting the result.
Change one seam at a time.
A full workflow rewrite introduces too many unknowns at once. Start with one high-friction seam, establish the contract around it, and measure whether the next person receives better work.
Once that transition is reliable, the system can take on more. The goal is not maximum automation on day one. The goal is a workflow that gets stronger each time capability is added.