Half the action items from your meetings are already dead

"Our usage is 90 percent. Our execution is under 40."
That is what an operations leader running a 600-store franchise network told us.
On paper the team had the modern stack. Slack for the talking, Notion for the meeting notes, ChatGPT for the summaries, Jira for the tickets. Login and entry rates were above 90 percent.
Then we asked about the work that came out of those conversations. The follow-up calls, the quotes to send, the customer changes to apply. Fewer than 40 percent of them ever got done.
The tools were used. The work was not. Why?
Because every time something moves from Slack to Notion to Jira, a person carries it, and context falls through their fingers. However good the tools are, any setup that asks a human to retype what was just decided will leak. The leak is structural, not personal.
This is measurable. Harvard Business Review published a study in 2022 that recorded the screens of 137 people across 20 teams at three Fortune 500 companies for five weeks. They switched between apps and windows nearly 1,200 times a day. Counting the seconds it takes to reorient after each switch, that is about four hours a week, or 9 percent of the working year.
Not all of that 9 percent is waste. But every team knows how much of it is "copying what was just decided over there into here." Meanwhile the subscriptions stack up, and the AI bolted onto each app only works inside that app's own walls.
Conversation is the resource that moves both people and AI
When we say conversation we do not mean chatter or a stream of text. We mean the raw resource that moves people and AI agents to produce something.
Conversation is the least structured data a company has. Put it through the right pipeline and it becomes the company's knowledge, and a compass pointing at what to do next.
The problem is that work tools were never designed to hold that raw material. Letting talk wash down a Slack channel, filing notes in Notion to feel organised, and leaving a one-line ticket in Jira with its context amputated will never turn talk into action.
It is also why the field stops entering anything. In Salesforce's February 2026 survey of 4,050 sales professionals, reps spent 40 percent of their time actually selling. A large share of the other 60 percent is this. There is more on that in They bought Salesforce. Nobody uses it.
From conversation to execution, on one screen
So we built an AI native workspace that absorbs the raw conversation and promotes it into work. In Markhub the whole path runs on a single screen.
- Capture. Text chat and online or offline meetings land in one place.
- Extract. Decisions, topics and action items are pulled out automatically.
- Structure. Those items become real tickets.
- Delegate. Hand the ticket straight to the AI on your computer, the Claude Code or Codex you already run.
Nobody writes notes into Notion, opens a Jira tab, or pastes a prompt into a separate AI app. When the meeting ends, an agent that already has the context starts the work.
Why the order matters is in We put Claude in Slack. Only the developers used it. The short version: the problem is not that you run three tools. It is that none of the three keeps anything an AI could read.
We already cancelled Slack, Notion and Jira
Our own team cleared out the fragmented stack and runs on Markhub.
- Issues track themselves. Issues raised in conversation are recorded with their context and followed.
- Meetings become tickets. Online and offline meetings are captured in app and turn into action items.
- Marketing agents. Ideas from a meeting become draft content and go out to the channels.
- Outbound. A browser agent researches ICP targets and runs the outbound itself.
- Cash flow. Mercury and Stripe are connected, so money movement is tracked into a monthly report, with the spreadsheet our accountant needs attached.
The part developers care about: the Claude Code or Codex already running on their machine plugs into the workspace as it is.
Where is your team's context going?
Running three or four tools does not make an organisation productive. It turns people into machines for retyping data.
How many action items from today's team conversations and customer calls are already gone? If you want out of the toll you pay moving between apps, and you want talk to become work, come look at Markhub.
Written on 2 October 2026 from a franchise operations interview and our own team's operating record.