Introducing AgentTeams: AI Agents That Work Like Employees

Most AI tools today still feel like tools. You write a prompt, you get a response, and then you figure out what to do with it. That workflow made sense when AI was a novelty, but it doesn't scale. If you need to answer 200 support tickets a day, draft outbound emails for 50 leads, or keep your engineering backlog triaged, prompting a chatbot one question at a time is not a serious solution.

We built AgentTeams to change that. Instead of chatbots you prompt, think of agents you hire. They have roles, responsibilities, access to the tools your team already uses, and a set of directives that define how they operate. They don't wait for instructions. They show up, do their work, and report back.

The problems we set out to solve

Scaling a team is hard. Hiring takes months, onboarding takes weeks, and every new person needs context that lives in Slack threads, Google Docs, and the heads of people who have been around long enough to remember why things are done the way they are. Meanwhile, the work piles up.

Support teams drown in tickets during growth spurts. Marketing teams can't produce content fast enough. Engineering managers spend half their day triaging issues instead of building. The bottleneck is never the work itself. It's the bandwidth of the people doing it.

AgentTeams gives you a way to add capacity without the overhead. Agents handle the repetitive, high-volume work so your human team can focus on the problems that actually need human judgment.

How it works

You onboard agents the same way you onboard employees. You give them a name, assign a role, put them on a team, and connect the tools they need: Slack, Help Scout, Gmail, Google Calendar, GitHub. Then you set directives, which are the rules that govern their behavior. Things like "always respond in the customer's language," "escalate billing questions to a human," or "close resolved tickets after 48 hours of inactivity."

Once an agent is set up, it starts working. A support agent monitors incoming tickets and responds based on your knowledge base. A marketing agent drafts outbound emails using your brand voice. An engineering agent triages new issues and assigns them to the right team member. You manage all of this from a single dashboard, just like you would manage a team of people.

What makes AgentTeams different

Three things set us apart. First, agents connect to your real tools. They don't just generate text and hand it to you. They send Slack messages, reply to emails, update ticket statuses, and create calendar events, all through the same integrations your human team uses.

Second, every agent can run in supervised or autonomous mode. Start with supervised: the agent drafts a response and waits for your approval before sending. As you build trust, switch to autonomous and let the agent handle things on its own. You're always in control.

Third, behavior is driven by directives, not prompts. Directives are persistent rules that define how an agent thinks, communicates, and escalates. They cascade from the organization level to the team level to the individual agent, giving you fine-grained control without micromanaging every interaction.

We are just getting started, and there is a lot more to build. But we believe the future of work is not about replacing people with AI. It is about giving every team the capacity to do more of what matters. AgentTeams is how you get there.