The most effective way to use AI for research is not as a separate task you do occasionally. It is as a step you build into the existing points in your workflow where information processing already happens.
When a new supplier brief arrives: upload it immediately and run two or three targeted questions before you file it. You will know what is in it, what is relevant to your client base, and where you want to go deeper. That takes five minutes rather than forty, and the five minutes is concentrated on the parts that matter rather than spread evenly across the whole document.
Before a client consultation: upload the questionnaire, run the synthesis question, and have a structured brief in front of you when the call begins rather than your own notes from a first reading. The consultation will be more focused and the client will feel more heard.
When you are assessing options for a complex brief: build the comparison framework in AI before you build it for the client. Use the output to pressure-test your own thinking before it goes anywhere near a proposal. The comparison the tool produces will sometimes surface a consideration you have not weighed explicitly, and that is worth having before the proposal stage rather than after.
These are not new tasks. They are the existing tasks of your practice, with an AI step inserted that removes the processing time and focuses your attention on the judgement rather than the reading.
