Most AI tools start from a blank page. They have no idea how your team actually runs.
Think about what that costs you. You start over every time. You re-explain your own setup to a tool that should already understand it. You end up with an agent that works in general and fits nothing in particular. Most teams don’t push through that. They open the builder, look at the empty fields, and close it again. One team we spoke to put it plainly: they didn’t even know where to start.
Andras Horvath, who leads product for AI at Wrike, made the point earlier this month: the real edge in AI won’t come from a better model. It’ll come from the organizational memory only your company has — a decade of how you actually run projects.
So when we built the conversational builder for Wrike AI agents, that’s where we started.
You build an agent by describing what you want, in plain words: “Wrike, make sure incoming project requests have everything we need before we assign them.” Then it reads your space — your workflows, your fields, your item types, the way your team runs — and builds the agent around how you already work.
When your setup makes a better agent possible, it points out an easy win you might have missed. Say your intake form captures a due date but no owner: the builder catches it and asks whether to hold those requests or route them to a default reviewer. This is the kind of gap most teams find only after the agent is already live.
It doesn’t settle for the status quo either; it asks for more information and judgment only you’ll have. “Should this run on every request, or only the ones from outside your team?” or “Flag what’s missing, or hold the request until it’s complete?” Each answer sharpens the next question. A few exchanges in, you’ve got a working agent that works your way, in your space.
Once the agent is designed, it goes to work on the right item. “Refer to the customer account list in Datahub and assign complete requests to the right person.” Done, conversationally, from start to finish.
And when you ask for something agents can’t do yet, it tells you. Plainly. Then it offers the closest thing that will actually work, and explains the difference. You leave with an agent that does what it says — and the confidence that it does, because the builder was straight with you about the limits. No surprises three weeks later when you find it was skipping half the work.
This way, you finish the whole job inside the conversation. You talk it through, you save it, you switch it on — all in the same place you started. Nothing touches your team’s work until you switch it on, and the agent you described is the agent that goes live. That’s what organizational memory looks like in practice: an agent grounded in your real setup and the way your company works.
A capable model is becoming table stakes; every tool will have one soon. What’s hard to copy is a decade of how you run things, and that’s what the Wrike agent builder stands on. It makes the agent yours.
We built this in a tight feedback loop with our customers — shipping early, watching how real teams used it, and folding what we learned back in, cycle after cycle. We saw where people got stuck, where the builder asked the wrong question, where it assumed too much, and we fixed it sprint after sprint, before most people ever saw it.
One thing came through clearly: people still want to configure agents by hand. So now you can. The conversational builder is the faster way in, and the manual builder is still right where it always was, for anyone who prefers that level of control.
Over 4 million agent actions have been performed in Wrike. Nathan Jones at the College of American Pathologists created one of them: his intake agent saves about 3.5 hours per idea. At AppFolio, Andres Serratos turned a 15–20 minute Friday sprint-close into about a minute. Multiply that across a year of ideas, and it stops being a time-saver and starts representing real ROI. That adds up fast.
The difference now is who gets to build agents. Anyone with a goal and a few minutes to describe it can, whether or not they know Wrike well.
Now it’s up to you.
Interested in building your first agent — or your hundredth?
