Until now, most AI agents are still a one-person thing. Someone asks an AI tool a question in a private window, pastes the answer into the team chat, and the next person who needs the same help starts from scratch.
AI agents for team collaboration are meant to fix that. But every team chat app now says it has AI agents, and they don’t all work the same.
Below, we compare three AI agents that claim to be built for team collaboration on the same six points, with what each one is good for and where each one falls short.
What to Look For in an AI Agent for Team Collaboration
An AI agent for team collaboration has to be built to work with everyone on the team, not only the person who built it.
These six factors make the difference in usability for teamwork:
- Interface and ease of use. Is the app easy for everyone on your team to use, on desktop and on mobile, without training?
- Building an AI agent. Is it easy enough for anyone to build the AI agent, or does an admin, IT, or a developer have to do it? How long does it take?
- Collaboration. Can everyone in the chat talk to the same AI agent directly, correct it, and see what it did?
- Connecting your tools. Does the AI agent connect to your tools for you, or does someone have to configure each connection?
- Context, memory, and instructions. Does the AI agent keep ongoing context of the conversation and your connected tools, remember corrections, and follow the instructions you set?
- Permissions and control. Can you decide what each AI agent can do in each tool, and who can use it?
One more thing to watch for: some team chat apps were built before AI agents existed and added AI on top later, while others were built around AI agents from the start. The difference between built-in and added-on AI agents shows up in almost every point above.
The 3 Best AI Agents for Team Collaboration
The three best AI agents for team collaboration are Zenzap, Slack, and Microsoft Teams. The biggest difference between them is whether the AI agents were built into the app from the start or added on later.
1. Zenzap
Zenzap is an AI agent for team collaboration where you can build AI agents in one click, connect them to your work tools, and work with them in a chat, on your own or with your team.
Zenzap is a mobile-first, easy-to-use chat platform built from the ground up to be AI native, so the AI agents are part of the product, not something you plug in.
Interface and ease of use:
Zenzap is an intuitive chat where you can talk to an AI agent the way you’d talk to a coworker, by typing or sending a voice note. If you can text, you can use Zenzap.
Building an AI agent:
One click, inside the chat. There’s no code, no developer, and no admin step first. Your AI agent is working in a few minutes.
Collaboration:
You can add your team in the chat, and everyone in that chat can talk to the AI agent directly, correct it, or add context. Each person on your team can also build their own AI agents for their own jobs, and AI agents in the same chat can talk to each other and pass work between them.
Connecting your tools:
The AI agent connects your tools for you. The AI agent tells you what it needs, you approve, and most of the 2,000+ tools Zenzap connects to use a one-click login.
Context, memory, and instructions:
Zenzap AI agents keep ongoing context of the chats it’s in and the tools you connect, so nobody has to re-explain the background. Correct the AI agent once, and the AI agent remembers.
You can also set custom instructions, like “always put action items at the top,” and the AI agent follows them from then on. What the AI agent learns in one chat stays in that chat.
Permissions and control:
You can choose what each AI agent can do in each tool: read only, act with your approval, or no access. You also decide who can use each AI agent. A Zenzap AI agent never sees your passwords, and your data is never used to train AI models.
Strengths
- A mobile-first, easy-to-use chat, built around AI agents from the start
- Your organization controls who can build AI agents. Your team can build multiple AI agents in one click, without waiting on IT.
- The whole team talks to the same AI agent in one chat, and the AI agent keeps the context of the conversation
- The AI agent connects your tools for you, and you just approve
- Tell the AI agent what you want to happen on a schedule, and the AI agent builds the workflow
Limitations
- A Zenzap AI agent only works in chats its owner is in. If the owner leaves a group chat, the AI agent leaves with them.
Best for: Teams who want to build AI agents with no code in an easy-to-use chat, connect them to their tools, and work with them together, while the organization keeps control of who can add AI agents.
2. Slack
Slack is a team messaging app that added AI agents on top of its existing platform. Slack’s AI agents come through Agentforce.
Interface and ease of use:
The AI agents sit on top of Slack’s existing interface, which can feel clunky, especially on mobile.
Building an AI agent:
An admin sets up the AI agent in Agentforce, which needs a Salesforce org with Agentforce, a Slack workspace, and an AI agent built in Salesforce. Then everyone’s Salesforce and Slack accounts get mapped, and a Slack admin installs the AI agent.
The process crosses two products and two admin roles.
Collaboration:
Your teammates can pull the AI agent into a channel, a direct message, or a thread with an @-mention each time. The AI agent doesn’t keep a shared memory of your team’s conversation.
Connecting your tools:
Connecting is easy for Salesforce data. Anything else needs an admin to set up.
Context, memory, and instructions:
The AI agent works from Slack conversations plus Salesforce data, set up centrally by admins.
Permissions and control:
Slack gives admins mature control over which AI agent apps come into the workspace and what data those AI agents can reach.
Strengths
- Strong admin control over which AI agents come in and what data they can reach
- Teams already on Slack use AI agents in the channels where they already talk
Limitations
- The person who needs an AI agent can’t build it themselves. Building one takes Salesforce and Slack admins, or a developer.
- Much of the value of Slack’s AI agents depends on Salesforce, so teams that don’t use Salesforce get less out of them.
- You can pull the AI agent in with an @-mention each time, but the AI agent has no shared memory of the conversation.
Best for: Technical teams and large organizations on Salesforce that want governed AI agents in their team chat.
3. Microsoft Teams
Microsoft Teams is Microsoft’s chat app, with AI agents added on top. Teams AI agents are built in Copilot Studio, a separate Microsoft product, and then published to Teams.
Interface and ease of use:
The AI agents sit on top of the existing Teams interface, which can feel clunky, especially on mobile.
Building an AI agent:
IT or a developer sets up the AI agent in Copilot Studio. Building needs Copilot Studio access and a Power Platform environment. Microsoft calls Copilot Studio low-code, and the builder itself can be quick, but getting the environment and approvals usually needs IT.
Collaboration:
Once published, your teammates can pull the AI agent in with an @-mention. The AI agent is built centrally, not by each person for their own job, and doesn’t keep a shared memory of your team’s conversation.
Connecting your tools:
IT has to configure the connectors.
Context, memory, and instructions:
What the AI agent knows is set when the AI agent is built. Updating that knowledge is an admin task.
Permissions and control:
Microsoft Teams provides dedicated environments, lifecycle management, audit trails, and compliance tools from Microsoft.
Strengths
- The deepest governance and audit controls of the three
- A natural fit for companies that already run on Microsoft
Limitations
- Building an AI agent and connecting tools both need IT, in a separate product
- Updating what the AI agent knows is an admin task
- Slow to get started for teams without IT support
Best for: Companies already on Microsoft that need deep governance and audit controls, and have IT to run them.
Which AI Agent Is Best for Team Collaboration?
The best AI agent for team collaboration depends on how your team works. Here’s what each one is good for, and where each one isn’t the right fit.
- Slack is good for highly technical teams and large organizations on Salesforce that want AI agents. Slack isn’t the right fit if the person who needs an AI agent should be able to build it.
- Microsoft Teams is good for companies that need deep governance and audit, with IT to run it. Microsoft Teams isn’t the right fit if you need to move fast or don’t have IT support.
- Zenzap is good for teams that want an easy-to-use chat where they can build AI agents and work with them together.
For most teams, Zenzap is the best AI agent for team collaboration overall. Zenzap is the only one of the three built from the ground up to be AI native: a mobile-first, easy-to-use chat where AI agents are part of the product.
Slack and Microsoft Teams added AI agents on top of existing apps, so their AI agents can feel clunky, especially on mobile, need technical knowledge to set up, and don’t keep full ongoing context of your chats and connected tools.
In Zenzap, your team can build AI agents, the AI agents can then connect to your tools for you, and the whole team works with the same AI agent in the same chat. Your team can be working with an AI agent in a few minutes.
To try it, pick one job your team repeats every week, like turning a call into to-dos or posting a weekly update, and build your first AI agent in Zenzap to handle it.
Frequently Asked Questions About AI Agents for Team Collaboration
What’s the best AI agent for team collaboration?
The best AI agent for team collaboration is Zenzap, because Zenzap is built from the ground up to be AI native. Your team can build an AI agent in one click without code. The AI agent connects to your work tools, and the whole team works with it in one easy-to-use chat.
What’s the difference between an AI-native chat app and one with AI added on?
The difference between an AI-native chat app and one with AI added on is when the AI agents come in. An AI-native chat app is built around AI agents from the start, so building one, connecting tools, and working with it all happen in the chat.
When AI agents are added onto an existing app, building them usually happens in a separate product, often with an admin or IT, and the AI agents don’t always keep the context of the whole conversation.
Can your whole team use the same AI agent?
Whether your whole team can use the same AI agent depends on the tool. With some AI agents, you add the AI agent to a chat once, and everyone there can talk to it directly, correct it, and see what it did.
With others, teammates pull the AI agent in with an @-mention each time, or the AI agent is shared with your team once an admin publishes it. Some AI agents are built for one person in a private thread and can’t be shared at all.
Do you need an admin or IT to build an AI agent for your team?
Whether you need an admin or IT to build an AI agent for your team depends on the tool. Some AI agents are built in a separate product and installed by an admin, which usually means IT gets involved.
Others let the person who needs the AI agent build it in a few minutes, with no admin step. Ask who has to be involved before the AI agent can do anything useful.
Can AI agents work with each other in a team chat?
AI agents can work with each other in a team chat on some platforms. Where several AI agents sit in the same chat, the AI agents can talk to each other and pass work between them, so one AI agent handles reporting while another handles scheduling, and your team sees all of it in one place.
Is it safe to give your team access to an AI agent?
Giving your team access to an AI agent is safe when you control what the AI agent can do in each tool and who can use it.
Look for settings like read-only, act with your approval, or no access for each tool. If an AI agent shouldn’t touch a tool in a shared chat, build a separate AI agent without that tool instead of relying on instructions.
Will an AI agent replace people on a team?
No, an AI agent won’t replace people on a team. An AI agent takes over the busywork, like updates, reports, and follow-ups, so people spend their time on work that needs judgment.
