Your Meeting Transcripts Just Sit There. Put AI on Them.

These days, after almost any meeting, you get a transcript - a written record of everything that was said. Teams, Webex, and Google Meet all do it now, usually with a short summary too. It shows up in your inbox, and then it just sits there. Someone might read it later, but mostly it becomes a file nobody opens. If something needs to happen next, a person reads it and does that part by hand - writes the update, opens the ticket, sends the recap.

What is changing is what you can do with that record. It used to be something you filed away and forgot. Now you can point an AI tool at it. The tool reads what was said, checks it against rules you set up - if it hears X, do Y - and carries that out: writes a draft, adds something to a list, files it where it goes. Anything that needs your judgment comes to you first. You can set up a basic version today, and it points toward some wild things not far off.

How to Set It Up

You do this with an AI tool that can run a task on its own, on a schedule, without you starting it each time. I would use Claude Cowork; there are others. The transcripts come from your meeting tools, or from an always-on recorder like Plaud - a little device that records and writes up what it hears (new to me, though it has been around a while). You set the tool to wake up every so often and do three things:

1. Look for any new transcripts since the last time it ran.
2. Check the rules you wrote for what to do with each kind of thing it finds.
3. Carry out the matching rule, and flag anything that needs your review.

Setting it up takes a little doing - mostly telling the tool where the transcripts are, how often to check, and what to do with them.

Rules You Might Set

Every rule is the same idea: look for a certain kind of thing, then do a certain thing with it. Say your rule is, whenever a meeting includes a decision, add it to a running list with the date and who made it. You write that down once, and from then on every transcript gets checked against it.

You can look for all kinds of things in a transcript, and tee up all kinds of next steps off them. A project manager gets a draft status update to fix up. A product manager gets a first cut at the user stories. An architect gets the opening sketch of a design. A QA lead gets a starting outline of a test plan. Someone just off a tough crisis call gets a draft reply to work from. A team lead gets the action items sorted by who owns them, before everyone forgets.

To find your own, think about the notes you would take in a meeting and what you would do with them afterward. Each of those is a potential use case - what to look for, and the step to take next.

Things to Consider

A few things decide whether a use case is a good fit. First, how often it needs to run. Cowork checks in about every fifteen minutes at most, so anything that has to answer right that second is out, and anything that can wait a little is fine - which covers most follow-up work. Second, how hard the next step is. Saving a decision to a list is easy. Building a whole document out of a long, messy call is not, and the harder ones need you watching more closely. Third, what it costs if it gets something wrong. Filing a note in the wrong place is no big deal - you fix it in a few seconds. Sending a client the wrong number is. When a mistake is cheap, let it run on its own. When a mistake is expensive, have it write a draft and you approve it before anything goes out.

Where This Could Go

Everything above runs on a short delay, and it works today. What is still coming is a system that listens all the time and acts the moment it hears something, instead of reading a meeting file afterward. That makes room for things the fifteen-minute delay rules out now. Say you are in the living room talking about dinner, and you land on your favorite Italian place - and the system just books the table. That one has to act right away, it has to tell "we should go there sometime" from "book us for Friday," and a dinner reservation is not something you can quietly undo like a line in a spreadsheet.

Each of those is also a new problem. Recording a meeting is nothing new - Webex has done it for years, and we are all used to it. Acting on a conversation you never sat down to have is different, and it raises a new question: what is okay to do with everything it hears. The more it does without asking, the more it needs a person watching, and the surer it has to be before it acts. Those get harder as the listening moves from the conference room to the kitchen table.

The transcripts are already showing up. Having AI read them and act on them is the new part, and the version that waits fifteen minutes is here today. This is just the start.