How can AI improve project status reporting?
As part of trying to find out we've been testing AI language models to see if they can help teams with getting the wording of their status report summaries right for their different audiences. (And obviously been having a bit of a laugh with how they can cut through the consulting bullshit too!).
Our first experiment is above - there's definitely some work to go but the results are actually quite promising (if not scarily accurate on the less serious response!)
What other examples have you seen of AI applied to status reporting?


