4 Best AI Agents for Work Your Team Will Actually Use

On a lot of teams, each person uses their own AI agents in their own tools. You often can’t see what those AI agents are doing with company data, and what one person’s AI agent learns doesn’t help the rest of the team.

Your team needs one AI agent tool that everyone uses, under company control, with shared knowledge and context. 

Let’s compare four AI agents for work on the same six points and give a clear pick.

What We Compared in Each AI Agent for Work

We compared each AI agent for work on six points. Each point affects whether you can roll the AI agent out to your whole team and keep the AI agent under company control.

• Interface and ease of use: Can everyone on your team talk to the AI agent easily, including on mobile?
• Building an AI agent: Who has to be involved, what has to exist first, and how long until the AI agent works?
• Collaboration: Can your whole team work with the same AI agents, with shared knowledge and context?
• Where the AI agent lives: Does the work happen where you talk to the AI agent, or do you have to check somewhere else?
• Security and control: Can the company control who uses each AI agent and what the AI agent can do, see what the AI agents are doing, and meet its compliance needs?
• Context: What does the AI agent know about your team’s work, and where does that knowledge come from?

The 4 Best AI Agents for Work Your Team Will Actually Use

Each AI agent below is measured on the same six points, in the same order, so you can compare the four side by side.

1. Zenzap

Zenzap is an AI agent platform where you build AI agents for work in one click, connect them to your work tools, and work with them alongside your team in a chat.

Zenzap was built AI native from the ground up, so you talk to your AI agents and work with your team in one place.

• Interface and ease of use: Anyone on your team can use a Zenzap AI agent. You talk to the AI agent in a mobile-first chat, in plain language, the way you’d message a coworker. You can also send voice notes. If you can text, you can use Zenzap.
• Building an AI agent: Anyone on your team can build AI agents in one click, with no code and no developer. The AI agent tells you what it needs to connect each tool, most of the 2,000+ tools connect with a one-click login, and the AI agent is working within a few minutes. Your organization controls who in your team can build AI agents.
• Collaboration: Your team works with the same AI agents in the same chat. Everyone in the chat can ask the AI agent, correct it, and see what it did. You can build as many AI agents as you want, and AI agents in the same chat can pass work to each other.
• Where the AI agent lives: On Zenzap’s own platform. You can ask in the chat, and the result comes back in the same chat, so there’s no separate dashboard to check.
• Security and control: You decide what each AI agent can do in each tool and who can use each AI agent. The AI agent never sees your passwords, every connection is recorded, and your data is never used to train AI models. Zenzap covers SOC 2, HIPAA, GDPR, and ISO 27001.
• Context: The AI agent has ongoing context of the chats it’s in and the tools you connect, so the AI agent knows what your team already discussed. Correct the AI agent once, and it remembers.

Good for: Teams that want AI agents anyone can use in the chat, built in one click and connected to the tools they already use.

Not good for: Teams that want an AI agent to stay in a chat after the person who owns the AI agent leaves.

2. Viktor

Viktor is an AI employee that works inside Slack or Microsoft Teams.

• Interface and ease of use: The Slack or Teams chat your team already uses. Viktor works in your existing channels.
• Building an AI agent: You need Slack or Teams, plus admin rights to install an app. You install Viktor, connect your tools, and give Viktor work. You switch on one Viktor instead of building separate AI agents for different jobs.
• Collaboration: Team-based. One Viktor sits in shared channels, and your team works with Viktor there.
• Where the AI agent lives: Inside Slack or Teams, as an app. Viktor has no platform of its own.
• Security and control: Per-person permissions, approval buttons on actions that can’t be undone, and Viktor only sees a channel when invited.
• Context: Viktor watches how your team works and suggests automations.

Good for: Small teams who want only one AI coworker inside the Slack or Teams they already run.

Not good for: Teams that want separate AI agents for each person or job, each with its own permissions.

3. Slack AI Agents

Slack is a team messaging platform that offers AI agents through Agentforce, custom assistants built on Slack’s application programming interfaces (APIs), and third-party assistants.

• Interface and ease of use: The Slack chat your team already uses. Slack can feel clunky, especially on mobile.
• Building an AI agent: You need a Salesforce organization with Agentforce, a Slack workspace, and an AI agent built in Salesforce. Everyone’s Salesforce and Slack accounts get mapped, then a Slack admin installs the AI agent. The build crosses two products and two admin roles, so the person who wants the AI agent usually isn’t the one who builds it.
• Collaboration: Shared. People on your team pull the AI agent in by @-mentioning it in a channel, direct message, or thread.
• Where the AI agent lives: In Slack, but built outside Slack. Agentforce AI agents are built in Salesforce, and custom assistants are built by developers. To change the AI agent, you go back to Salesforce or the code.
• Security and control: Mature admin control over which AI agent apps come into Slack and what data they reach.
• Context: Slack conversations plus Salesforce data, set centrally by admins.

Good for: Highly technical teams and large Salesforce organizations that want AI agents in chat.

Not good for: Non-technical teams, or teams where each person wants to build their own AI agent without going through an admin or a developer.

4. Microsoft Teams AI Agents

Microsoft Teams is Microsoft’s team chat. AI agents for Teams are built in Copilot Studio and published to Teams.

• Interface and ease of use: The Teams chat. Once an AI agent is published, your team uses the AI agent in Teams. Teams can feel clunky, especially on mobile.
• Building an AI agent: You need Copilot Studio access and a Power Platform environment. Microsoft calls Copilot Studio low-code, and the builder itself can be quick. Getting the environment and approvals usually needs IT.
• Collaboration: Shared once published, but built centrally.
• Where the AI agent lives: Built in Copilot Studio, a separate product, then published to Teams. Changing the AI agent means going back to Copilot Studio.
• Security and control: Admin-level governance, including dedicated environments, lifecycle management, audit trails, and Microsoft’s compliance tools. IT or an admin manages these controls, so changing what the AI agent can do is an admin task.
• Context: Set centrally when the AI agent is built. Updating the context is an admin task.

Good for: Businesses already on Microsoft that need deep governance and audit, with IT to run it.

Not good for: Teams that need an AI agent fast, or teams without IT support.

Which AI Agent for Work Is Best for Your Team?

The 4 best AI agents for work your team will actually use are:

• Zenzap: Best for teams that want one AI agent tool everyone can use in an easy, mobile-first chat, with shared knowledge and company control.
• Viktor: Best for small teams that want only one AI coworker in Slack or Teams.
• Slack AI Agents (built with Agentforce): Best for large Salesforce organizations with admins to build and run AI agents.
• Microsoft Teams AI Agents (built in Copilot Studio): Best for companies on Microsoft with IT to build and manage AI agents.

All four AI agents work in a chat your team shares. The difference is who has to build the AI agent, how easy the AI agent is for everyone on your team to use, and how much control you get.

If you want one AI agent for work your team will actually use under company control, Zenzap is the best fit of the four.

Choose an AI Agent Your Team Will Actually Use

Rolling out AI across your team works best when everyone uses the same AI agent tool, under company control, instead of each person running their own AI agents in separate tools.

If you want to roll out AI in a secure, controlled way, choose an AI agent tool that everyone on your team can use easily in the chat, including on mobile.

The AI agent tool should let you control who builds AI agents and what each AI agent can do in each tool, meet your compliance needs, and give your team shared knowledge and context.

FAQ

What’s the best AI agent for work your team will actually use?

The best AI agent for work your team will actually use is Zenzap, because anyone on your team can use Zenzap AI agents in a mobile-first chat, the person who needs an AI agent builds it in one click without code, and you control what each AI agent can do in each tool.

Can your whole team use the same AI agent?

Your whole team can use the same AI agent when the AI agent works in a shared chat. Before you pick a tool, check whether everyone in the chat can ask the AI agent for things and see what it did, or whether each person only gets a private assistant.

Do you need IT to add an AI agent for your team?

You don’t always need IT to add an AI agent for your team. Some AI agents need IT, an admin, or a second product before anyone can use them. Other AI agents let the person who needs the AI agent build it without code in a few minutes.

Is it safe to connect a team AI agent to your work tools?

Connecting a team AI agent to your work tools is safe when you control what the AI agent can do. Look for per-tool permissions (such as read-only or act with approval), control over who can use each AI agent, a record of every connection, and a clear promise that your data isn’t used to train AI models.

Will an AI agent replace people on your team?

An AI agent won’t replace people on your team. An AI agent takes over busywork like tasks, reports, and follow-ups, so your team can spend more time on work that needs judgment.