daBongo LMS AI Training Courses

Lesson Content

Accurate client expectation setting.

Professional AI image production starts with accurate expectation setting: AI generation is an iterative process involving selection from multiple variations – not single-attempt guaranteed output. Setting this expectation before production begins prevents client misalignment. Brief clients on: how generation works, typical number of variations, quality selection process, and revision approach.

Professional delivery structure.

Deliver AI-generated imagery in a structured, professional format: curated selection of best results organized for efficient client review (not the full generation history); clear organization by deliverable or concept; delivery notes including AI generation disclosure, rights summary, and any recommended post-processing notes; and files in the format the client's workflow requires.

Client revision management.

When clients request revisions to AI-generated images: diagnose what specifically needs to change; assess the approach (prompt refinement, parameter adjustment, regeneration, or post-production edit); communicate clearly what is achievable and on what timeline; and document revision requests and responses for the project record. Manage expectations about what AI generation can and cannot change about an existing image.

Building a repeatable AI image service.

For professionals who regularly deliver AI image work: document the client intake workflow (brief capture -> generation plan -> production -> review -> delivery); create service scope templates that accurately describe AI generation capabilities and limitations; establish standard ethical review steps for each project type; and build AI generation disclosure into standard contract language. A well-documented service is easier to deliver consistently and to communicate to new clients.