6 posts tagged “Task Management for Teams Working with AI”
Decision tasks, the reasons behind choices, agreements with clients: when you keep these records, AI can help draft tasks and weekly reports. To wrap up the series, this article covers what you can hand to AI, where to draw the line on what you share, and what to keep in your task management tool.
The faster AI makes the work, the more waiting for client approval stands out. Using examples from creative and client work, this article shows how to send what you need decided as a list with deadlines, whether to invite clients into your management tool, and how to record their answers.
With AI, you can produce as many copy or banner options as you like, so it gets easy to lose track of which ones you showed, which you chose and why. Using examples from creative and client work, this article shows how to treat AI output as decision material and record the options you compared and why.
Once AI speeds up the work, what holds a project up is often a pending decision, not the work itself. Using examples from creative and client work, this article shows how to set up statuses that separate waiting on your team from waiting on the client, and how to change your weekly meeting agenda.
Now that AI has sped up the work, tasks that only say “make X” no longer show where a project is stuck. Using examples from creative client work, this article shows how to split out what needs deciding as its own task, with a template you can paste straight into the description field.
AI can now produce wireframes and copy options in minutes, yet projects don’t finish any faster, because the slow part has moved from making to deciding. For small creative and client-work teams, this article explains how the role of a task management tool changes.
