monday AI Notetaker — From Meeting Notes to Project Tasks

How many times have you left a project knowing exactly what needs to happen next, only to spend another 20 minutes turning that conversation into actual project work? That gap between talking about the work and updating the work is what monday Notetaker is built to help with.

Say you’re running your weekly project status meeting. You’re checking progress, talking through blockers, making decisions, and assigning next steps as you go. Normally, once the call ends, there’s still some cleanup to do. You need to make sure those steps are captured, get them into the right project, assign ownership, and make sure nothing important gets lost in your notes.

With monday Notetaker, you can capture that information as the meeting happens and then use it to update the project afterward. Let me walk you through how that works. Start by connecting monday Notetaker to your Google or Outlook calendar. From there, you can choose which meetings you want it to attend and set it to automatically join certain calls.

And because Notetaker is part of monday.com’s AI workspace, that meeting information can become part of the same workspace where your team is already managing and executing the work. Notetaker joins your scheduled meetings from your connected calendar. For other meetings, you can paste the meeting link and invite it.

When your weekly status meeting starts, Notetaker can join automatically. While you’re running the meeting, it records and transcribes the conversation in the background, which means you can stay focused on the discussion instead of trying to take detailed notes at the time. Then, when the meeting ends, you have the recording, transcript, summary, and a list of action items Notetaker has pulled from the conversation.

This is where you can turn those follow-ups into project work. You review the action items and select the ones you actually want to track. Then you choose the monday.com workspace and board where you want them to go. monday creates an item named after the meeting and adds those selected actions as subitems.

From there, you can assign ownership and manage the work alongside everything else happening on that board. So there’s still a decision for you to make about what should be tracked and who should own it, but you’re working from action items that have already been captured, rather than going back through your notes and recreating them one by one.

And that meeting record can keep being useful after you’ve dealt with immediate follow-ups. For example, maybe two weeks later, a stakeholder asks why a deadline changed. Instead of relying on memory or reading through the entire transcript, you can ask the post-meeting AI chat what was discussed. If you need more context, you can also use the meeting highlights and timestamps to go back to the relevant part of the recording and hear the original conversation.

And the same workflow isn’t limited to scheduled video calls either. With monday’s desktop app, you can capture a conversation directly from your computer without adding a visible bot to the meeting. It also works for in-person conversations, so if your team makes an important decision during a workshop or a face-to-face project meeting, you can still capture it and work from that meeting record afterward.

So what does all of this actually change for you as a project manager? For one, meeting follow-up becomes less of a separate admin job. You can spend the meeting leading the conversation, and afterward, your attention can go toward deciding what needs to happen next, rather than documenting everything that just happened.

It also means you don’t have to be the only person carrying the context from one meeting to the next. When someone needs to understand a decision later, there’s a record they can refer back to instead of relying on your notes or your memory. For a project manager juggling several meetings and work streams, that can make it easier to keep decisions, ownership, and delivery connected as a project moves forward.

Now, there are a few things to think about before using this across all of your meetings. First, decide which meetings you actually want Notetaker to attend. You can control its auto-join settings so it doesn’t need to join every meeting on your calendar. You’ll also need to account for recording permissions and consent.

When Notetaker bot joins a video call, the meeting host needs to allow it to record, and your team still needs to follow any recording and consent requirements that apply to your organization and location. If the conversation turns to something sensitive, you can also remove Notetaker during the meeting and bring it back when you’re ready to resume recording.

And meetings are private by default, so you control when the content is shared with others. Notetaker also supports multiple languages, along with speaker identification, so you can see who said what when reviewing the conversation afterward. Finally, there’s the cost to consider. monday Notetaker usage is billed in aiAI credits, 120 AI credits per hour of meeting, and availability depends on your plan.

If you’re planning to use it regularly across multiple projects, it’s worth checking monday.com’s current pricing and usage limits. monday Notetaker is just one example of how monday.com’s AI workspace can help connect conversations with actual project work. For a closer look at the platform and how it supports project workflows, check out our full review at The Digital Project Manager.