Where AI can help a design workflow
AI tools can support early exploration, rough drafts and prototyping. Their value depends on the task, the source material and the designer reviewing the output. A useful starting point is a small, repeatable task whose result can be checked.
Explore directions before committing
For example, a team might use AI to suggest alternative structures for a presentation or explore visual directions for a campaign. Those suggestions are starting points: the designer still needs to assess the audience, brand, hierarchy and practical requirements.
Keep human judgement in the process
A plausible result is not necessarily an accurate or appropriate one. Review factual statements, typography, accessibility and consistency with the brief. Client-ready work also needs careful production checks.
Avoid adding unnecessary tools
Before adding another application, identify the step you want to improve. Compare the time saved with the time spent prompting, checking and correcting. A tool that produces more options can still slow a project down if those options need extensive revision.
Build shared working practices
Give teams clear guidance on suitable tasks, what information can be entered and who reviews the output. Document useful approaches so that learning does not depend entirely on individual experiments.
Prompting is one part of design
Giving clear instructions can help, but it does not replace understanding a brief or developing a strong visual idea. AI-assisted coding is a separate application; it should not be confused with the broader judgement involved in branding, editorial design or campaign work.
Measure what works
Test AI on a defined task, compare the result with your usual process and keep the steps that improve quality or save time. The aim is a clearer, more effective workflow, with people responsible for the final work.
