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Why Meeting Tools Stopped at Transcription and What Comes Next

04-17-2026 12:21 PM CET | IT, New Media & Software

Press release from: Convo

AI meeting assistant providing real-time suggestions during a professional video call

AI meeting assistant providing real-time suggestions during a professional video call

The meeting ends. You close the laptop and reach for your coffee. Then it hits you. Follow-up email. Three action items that need to go somewhere. A CRM update. And a vague promise you made last time that you should probably check on before someone else remembers it first.

Fifteen minutes later, you have not started any real work. You have just been doing the meeting's paperwork.

This is a common problem. Nobody writes LinkedIn posts about the twenty minutes they spent reconstructing a conversation from memory so they could send a halfway decent follow-up email.

Nobody talks about what happens around the meeting

There is an industry built around fixing meetings. Fewer meetings, shorter meetings, asynchronous standups, no-meeting Fridays. Fine ideas. But they miss where the time actually goes.

The meeting itself is rarely the problem. What kills you is the ten minutes before, scrambling to remember what happened last time. The moment during the call when someone asks a question and you know the answer is in a document somewhere but you cannot get to it fast enough. And the twenty minutes after, turning a conversation into emails and tasks and updates.

Harvard Business Review found that 71% of senior managers consider meetings unproductive. But when you look closer, the complaint is almost never about the conversation. It is about everything wrapped around it.

What happens during the call matters too

Here is something most productivity advice ignores entirely.

A sales person is on a call. The prospect pushes back on implementation timelines. The rep has seen this objection before, probably handled it well last quarter, but right now, mid-conversation, with the client waiting for a response nothing comes. The deal slows down.

Or a customer success manager on a renewal call. The client drops a competitor name. That is a red flag. The right response depends on the last three conversations, the features they actually use, their sentiment over time. All of that information exists.

This is not about intelligence. It is about retrieval. Professionals know far more than they can access under the social pressure of a live conversation. That gap does not show up in any report. But it shows up in deals that stall and in renewals that quietly disappear.

Real-time AI is starting to close this gap. Tools that listen to a live conversation and surface the right context within a few seconds. The person still runs the meeting. They just stop losing moments they should have won.

Follow-up eats the rest

Then comes the other end. The call is over and now you need to write the email. What exactly did the client agree to? Was the deadline Friday or Monday? Did they say "we'll consider it" or "let's move forward"? The difference matters and you are already unsure.

You open a blank compose window and start reconstructing. The result is adequate but vague. Details get softened. The tone drifts. And it takes fifteen minutes for something a tool could draft in thirty seconds by working from the actual transcript.

For a team of ten people doing four calls a day, this adds up to around 240 hours a month of post-call admin. That is like paying 1.5 full-time salaries for someone to write emails about conversations that already happened. You can run the numbers for your own team at itsconvo.com/tools/meeting-cost-calculator.

What is changing

Convo (itsconvo.com) was built around this full loop. It runs as a subtle overlay on your screen invisible to everyone else on the call. Before, it pulls context from past meetings with that person. During, it surfaces relevant information, suggests responses, and adapts to where the conversation is. After, it drafts follow-up emails from the actual transcript and extracts action items with owners and deadlines.

It works across Zoom, Google Meet, Teams, Webex, and Slack. Audio is processed locally on the device. No bot joins the call.

There are dedicated workflows for sales teams (itsconvo.com/sales), customer success (itsconvo.com/customer-success) and consulting (itsconvo.com/consulting) - each tuned to the specific patterns of those conversations.

The question worth asking

How many hours a week do you spend on the stuff around meetings? Not the meetings. The prep, the retrieval failures during, the emails after.

For most people the honest answer is five to eight hours. That is a full working day hidden inside your calendar under "meeting time." The teams that figure out how to eliminate it will just move faster. And in most industries, that is the only advantage that actually compounds.

Convo
Carrer de los Castillejos 268
08025 Barcelona
Spain

You can contact markus@itsconvo.com for anything related to press info.

Convo is a meeting intelligence platform founded in Barcelona in 2025 by Markus Kellermann and Ivan Abad. It provides real-time AI assistance during calls, automates preparation and follow-up, and processes all audio locally on the device with no recording bot. Available on macOS, Windows, and Linux. More at itsconvo.com.

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