AI Won’t Fix What Happens After the Meeting

AI can perform analysis. However, it still can’t tell leaders where decisions break down after the meeting.

McKinsey’s 2025 survey shows AI use is widespread — which is no surprise — yet only 39% of respondents report EBIT impact at the enterprise level.  McKinsey also found that workflow redesign has the greatest influence on whether companies see bottom-line results from gen AI.

That should tell leaders something important: adoption isn't the true test. Management visibility is.

Asana reports that knowledge workers spend 60% of their time on “work about work” — coordinating, chasing updates, searching for information, and managing shifting priorities. Companies are not short on activity or analysis; they are short on clear visibility into whether priorities are being carried out as intended, whether ownership is truly established, and where decisions begin to break down once meetings end.

That is the blind spot.

AI can speed up analysis. It can summarize more quickly and identify patterns at scale. But it doesn't automatically solve the tougher management challenge: determining whether a decision is translating into aligned action across the business.

That is why adoption is the wrong scoreboard.

A company can appear advanced in AI but still struggle with execution.

The winners won't be the companies with the loudest AI stories. They will be the ones who can see, early and clearly, where decisions are holding up, where they are breaking down, and what needs fixing before the problem reaches the numbers.