The best first AI project is usually a task your team understands well enough to judge. That gives you a clear way to tell whether the system is helping, where it makes mistakes and what needs to change.
Find a bounded task
Look for recurring preparation work: a content brief, an enquiry summary or an internal knowledge question. Avoid beginning with a promise to transform the entire business. A narrow task makes the information needs, review responsibility and likely integration effort easier to see.
Set a quality baseline
Gather examples of what good work looks like before building. Include awkward cases and incomplete information. Compare the AI-assisted output with that baseline and record the corrections people make. Speed matters only if the result is useful enough for the task.
Expand from evidence
Once a workflow is dependable, consider its next useful connection. A content brief might feed a draft calendar; an enquiry summary might prepare a task. Build the system around observed benefit, with explicit permissions and a clear owner for the knowledge it uses.
Put it into practice
- Choose a task with a knowledgeable reviewer
- Gather good and awkward examples
- Expand only after checking practical benefit
At 3 & A Half Geniuses, we bring design, websites, apps and practical AI workflows into the same conversation. Explore your AI brain or tell Darren what you are working on.