The meeting ends, but the decisions still have to reach the places where they will be carried out. Someone updates the presentation, changes the task board and checks who is responsible for what. These handoffs between meetings, documents and tasks deserve attention when a company explores the use of AI.
The challenge is moving information without losing its status: a suggestion has to remain a suggestion until someone approves it.
Follow one decision end to end
In a project review, the plan calls for a delivery on Friday. During the meeting, someone proposes pushing it back, but the decision depends on another team. The transcript records the conversation; the board still shows the original deadline.
AI can compare the records and prepare a list of differences that separates an approved change, a possibility that was discussed and missing information. Updating the deadline automatically from any mention would turn conversation into commitment.
Map the sequence: plan, meeting, decisions, review and update. At each handoff, note what has to be preserved and who recognizes the change as valid.
Pick one link to experiment with
The first test can produce only a proposed update. For each item, ask for the source excerpt, the affected task and the condition still to be resolved. Then check whether the approved update reached the right place: a document listing the changes is not the same as an updated board.
The analysis may reveal process problems: decisions with no owner, minutes that mix ideas and agreements, systems that require entering things twice. Solving those conditions is part of designing the work.
Leadership can start by asking where a decision usually loses steam after the meeting. In AI Thinking by Dani Hayoshi, that is where the redesign begins. See also AI for business: where it really changes the work.
Dani Hayoshi is the author of AI Thinking. Her work connects artificial intelligence, education and entrepreneurship. About Dani.