How do you identify dependencies between planned AI features?

How do you identify dependencies between planned AI features?

A dependency exists when one capability needs another capability or artifact before it can work. Finding these relationships early prevents a backlog from becoming a collection of disconnected screens.

Follow the data

In a sample media workflow, narration depends on reviewed script text, rendering depends on audio and visual assets, and download depends on stored output. A project history page depends on persisted project records. Draw these relationships as simple arrows and distinguish mandatory prerequisites from conveniences.

Plan around interfaces and unknowns

Define what each upstream feature provides: identifiers, version information, status, and an output format. UI work can use representative fixtures while a backend is being built, provided both follow the same contract. Identify shared dependencies such as ownership checks and error handling instead of rebuilding them repeatedly. Before scheduling a milestone, ask whether every required input will exist and whether any provider capability still needs a feasibility check. Update the map when the workflow changes.