Épisode 4 | Et si on gagnait du temps ? Depuis le début de cette série, nous vous racontons comment Klaxoon by Wrike accompagne les équipes de l'idée… à l'action. Mais entre les deux, il y a souvent une réalité : des heures passées à organiser, synthétiser, structurer ou retrouver l'information. C'est là que l'IA entre en jeu. Le véritable avantage ne vient plus seulement des modèles. Il vient du contexte, de la collaboration et de la connaissance que chaque organisation construit au fil du temps. C'est cette vision qui nous guide: une IA capable de s'appuyer sur vos workflows, vos méthodes et vos équipes pour devenir un véritable copilote, plutôt qu'un simple assistant. Parce qu'au final, la transformation ne consiste pas à ajouter une nouvelle technologie. Elle consiste à connecter les personnes, les idées et l'exécution, au sein d'une plateforme unique. Pour aller plus loin sur cette vision, on vous recommande également le post d'Andras Horvath, VP Product AI chez Wrike, qui partage pourquoi, selon lui, la prochaine révolution de l'IA ne viendra pas d'un meilleur modèle… mais de la mémoire organisationnelle propre à chaque entreprise. Une lecture qui illustre parfaitement notre vision de l'IA chez Klaxoon by Wrike. https://lnkd.in/eSRz-djE (en anglais)
Most AI tools start from a blank page. They have no idea how your team actually runs. So you start over every time. You re-explain your own setup to a tool that should already know it, and 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, see the empty fields, and close it again. One team told us plainly: they didn't know where to start. Andras Horvath, who leads product for AI at Wrike, put it well last week: 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. That's where we started with the conversational builder for Wrike AI agents. 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." It reads your space — your workflows, your fields, your item types — and builds the agent around how you already work. When your setup makes a better agent possible, it points out a win you might have missed. Say your intake form captures a due date but no owner: it catches that and asks whether to hold those requests or route them to a default reviewer. Most teams find that gap only after the agent is live. It also asks for the judgment only you have. "Run on every request, or only the ones from outside your team?" Each answer sharpens the next. A few exchanges in, you've got an agent that works your way, in your space. And when you ask for something agents can't do yet, it tells you plainly, then offers the closest thing that works. No surprises three weeks later when you find it was quietly skipping half the work. You finish the whole job inside the conversation. You talk it through, save it, switch it on. Nothing touches your team's work until you do, and the agent you described is the agent that goes live. We built it in a tight loop with customers — shipping early, watching where people got stuck, fixing it sprint after sprint. One thing came through clearly: people still want to configure agents by hand, so the manual builder is right where it always was. The conversational builder is just the faster way in. A capable model is table stakes now. What's hard to copy is how your company runs — and that's what makes the agent yours. Over 4 million agent actions have run in Wrike. Nathan Jones at the College of American Pathologists built one: his intake agent saves about 3.25 hours per idea — multiply that across a year and it stops being a time-saver and starts being headcount. At AppFolio, Andres Serratos turned a 15–20 minute Friday sprint-close into about a minute. The difference now is who gets to build. Anyone with a goal and a few minutes can, whether or not they know Wrike well. Wrike's own walkthrough is in the comments. Now it's up to you. #AI #ProductDevelopment #WorkManagement #EnterpriseAI #AIAgents #FutureOfWork #Wrike #ProductLaunch