Zenzap

Struggling to get real value from AI across your team? Your AI agents might be the culprit. Most teams use single-player AI agents. What one person builds stays with them, so colleagues end up repeating the setup and explaining the same context again. The time AI was supposed to save goes into doing the same work twice, and the value never spreads past one person. Our new guide compares Zenzap with three other tools across six things every team should look for, from who controls what the AI agents can do to how easily you can update workflows as the work changes. Read the full guide below.

Who actually gets to build AI agents? We believe the people who know a workflow best should also be able to automate it. That’s why we made Zenzap AI agents so anyone can build one, no technical knowledge required. Connect the tools you already use, choose what it can do in each one and start on your own. Then bring it into a team chat so everyone can work with it and build on what you’ve started. If you can text, you can build an AI agent. Watch how to build one in under 90 seconds.

Farewell, busywork. So much of the week goes to hunting down information across tools, chasing people for updates and copying data from one place to another. Then it all starts again next week. Now multiply that across whole organizations. 25% of the workweek goes to searching for answers.* Information slips between people and systems, handoffs stall, and the whole business slows down. With Zenzap AI agents, you can automate the workflows that hold your business back, right from Zenzap’s intuitive chat interface. Just tell your AI agent what you want to happen, and it builds the workflow for you. Share it once, and your whole team can use it. Work that used to be carried by hand from person to person and system to system keeps moving, with your team in the loop. Less busywork. More time for the work that matters. Try Zenzap AI agents for free. Link in the comments. *Source: Atlassian, State of Teams 2025.

Are we human, or are we middleware? Workers switch apps about 1,200 times a day and lose nearly four hours a week getting back on track.* Open the CRM, check the calendar, dig through the drive, back to the chat. It’s the work around the work, and across a whole organization, it adds up to a real hole in productivity. Zenzap AI agents close it. Talk to your tools like you talk to your team, and your AI agents do the app-switching for you, all in one familiar chat interface. Ask your AI agent to handle whatever you need across your connected tools, from pulling this week’s overdue invoices to chasing late tasks or setting up next week’s work schedule. It reports back in the team chat, so your team can pick up where you left off. You get the results without opening another tab. *Source: Harvard Business Review, 2022

Building an AI agent used to be a job for developers. With Zenzap, it’s for anyone who can text. Our new guide shows you how to build your first AI agent, connect your tools, control what it can do in each one, and have it automate workflows for you, just by describing what you want.

We only officially launched Zenzap AI agents last week, but our team has been finding creative ways to put them to work for some time. Here are a few of our favorites. And nobody wrote a single line of code ⚡ Rebecca Lazar’s AI agent publishes the marketing team’s blog posts. She also hasn’t needed to check Asana in two weeks, and she's never been more on top of her work. Dor Winter’s AI agent writes his partner meeting recaps, so he just reviews and hits send. Shelly A. is still very much human. She just doesn’t write meeting notes anymore. Her AI agent does. Maayan Shemesh’s AI agent wrote its own post about running on-call for the backend team. It even moved a shift for a wedding! Liron Matatyhu's AI agent handles reminders, so she has more time for the people and tasks that need her. Leonardo Rosenberg, Tony Koyfman and Eyal Segal have theirs filtering updates, sorting leads, and lining up pull requests. Danit Alaluf still can’t get an AI agent to clean the dog hair off the carpet. But hers does remind her to brush the dog. What’s the first thing you’d take off your plate?

AI is better together. For most teams, AI is still an individual game. Everyone has their own chats, their own prompts, and their own results. The context lives in one person’s account, so the next person starts from scratch, and the same work gets done twice. We believe that if your business is multiplayer, your AI should be too. Our AI agents are multiplayer from day one, built into Zenzap’s intuitive chat interface. Teams across your organization can collaborate with shared AI agents, automate workflows across tools, and build on each other’s work. Build your first Zenzap AI agent, then bring your team in. Your AI agents will work alongside them and each other, coordinating every step and getting work done. Try it for free. Link in the comments.

How far has AI actually made it into your business? Most CEOs can only answer that question with a feeling. Some of the team use AI individually, some apps have AI features that don’t connect to each other, and maybe one or two tasks run on autopilot. AI is everywhere and nowhere at the same time. Making AI a real part of your team’s daily work, built around your workflows, is the hard part. It’s also why so many companies have yet to see real results from it. Today’s guide shows you where your company really stands on AI, and how to get your whole team working with AI agents in just two weeks.

95% of organizations are getting zero return on their generative AI investments.* That’s because most people use AI individually. It sits outside the work, disconnected from their team, their tools and the workflows that move the business forward. We built Zenzap AI agents for how teams actually work. Anyone can build an AI agent with no technical knowledge. Connect it to your tools, put it to work on entire workflows and bring it into a team chat. There, it works with your team and improves with the context you share. See what Zenzap AI agents can do for your business. Link in the comments. *Source: MIT NANDA, The GenAI Divide: State of AI in Business 2025.