A practical contract checklist for AI marketing services covering scope, approvals, data rights, success criteria, reporting expectations, and the clauses buyers should not leave vague.
A good AI contract should define workflow scope, review checkpoints, data boundaries, and ownership before any build starts.
Service businesses should compare proposals based on accountability, change control, support terms, and implementation realism, not just price or promise.
This checklist helps buyers reduce ambiguity so the engagement can produce useful work instead of expensive confusion.
