Business AIAgenciesIllustrative example

Turn a Slack Message Into a Built, Assigned Task

The short answer

An AI assistant watches the Slack channels you choose, and when someone asks for work it drafts a complete task: title, description, owner, due date and links. A person approves it with one click, then it lands in your project tool assigned to the right teammate. Nothing gets created until someone says yes.

The problem

In a lot of small teams, Slack is where work gets asked for and the project tool is where work is supposed to live. The gap between the two is a person. Someone has to notice the request, open the project tool, write it up, figure out who owns it, guess at a due date and paste in the links. When that person is busy, the request sits in a thread and quietly dies.

Then a week later a client asks where their thing is, and nobody can find it. Not because anyone was lazy, but because “can someone update the pricing sheet for the new client” was never turned into anything anyone could track.

How it works

  1. You pick the channels the assistant watches, and you can add a trigger, like a specific emoji reaction, so it only acts when someone flags a message.
  2. When a request shows up, the assistant reads the message and the thread around it, then pulls related context, like the client record or a linked Google Doc.
  3. It drafts a full task: a clear title, a description written for the person doing the work, a suggested owner based on your rules, a due date if one was mentioned, and the source links.
  4. It posts the draft back in the thread with Approve, Edit and Skip buttons.
  5. When someone approves, the task is created in your project tool and the thread gets a link to it, so everyone can see it was picked up.

Human checkpoints

The AI does the writing and the routing, and a person approves before anything is created.

  • Every task is approved before it exists. A bad task that nobody asked for wastes someone’s afternoon, so a quick yes is worth it.
  • Owner and due date are suggestions. The approver can change either before saving.
  • Unclear requests get a question, not a guess. If the assistant can’t tell what’s being asked, it replies in the thread and waits.

Over time, you might let simple, repeat task types skip approval. That’s your call, made after you’ve watched it work for a while.

What it doesn’t do

It doesn’t decide priorities or tell your team what matters this week. It won’t catch requests made in DMs it can’t see, on phone calls, or in someone’s head. If your team doesn’t really use a project tool, this won’t fix that; it just fills a tool nobody opens. It’s a good fit when the tool is real and the problem is getting things into it.

Illustrative outcome

Picture a small agency where the account lead used to spend the end of each day copying requests out of Slack. Now she reviews a handful of drafted tasks in the threads where they were asked, taps approve, and moves on. Clients stop hearing “let me check on that,” because the request was tracked the moment it was made.

Questions people ask

Do people have to change how they write in Slack?

No. The assistant reads normal messages. If a request is too vague to turn into a task, it asks a follow up question in the thread instead of guessing.

Which project tools does this work with?

Most tools with a public API, including Asana, ClickUp, Notion, Airtable and Trello. We confirm yours during the Free AI Check.

How does it know who to assign the task to?

You give it simple rules, like which person owns which client or type of work. When the rules don't cover a request, it leaves the owner blank and asks.

Can it create tasks without approval?

It can, but we don't start there. We run it with approvals until you trust its drafts, then you decide whether task types with low risk can skip the approval step.

Want this in your business?

Tell us the chore. We'll tell you honestly if it's worth automating, and what it would take.

No credit card. No pitch deck. Built in Indianapolis.