# Teams and Org Chart Organize employees into teams with leaders who delegate, coordinate, and report back automatically. Real companies have structure. Your AI workforce should too. Group employees into teams, assign a leader, and let the leader delegate tasks to specialists. When you give the marketing team lead a content calendar, it breaks the work into pieces and assigns writing, design, and social distribution to the right team members automatically. Leaders do not just delegate within their own team. They hand off work to other team leaders when a task crosses boundaries. Ask your marketing lead to launch a campaign, and it coordinates with the sales team lead to align messaging and timing. Each team has a charter that defines its purpose, goals, and working agreements, so delegation follows clear rules. The company dashboard shows every employee, team, and leader in one place. The org chart visualizes your hierarchy so you can see who reports to whom, which teams exist, and where each employee sits. As your AI workforce grows from 2 employees to 20, the structure keeps everything organized. ## Organize AI Agents Into Teams That Mirror Your Real Structure Sistava lets you group AI employees into teams the same way you structure your human workforce. Each team has a name, a defined focus, and a roster of agents with complementary skills. The org chart is not cosmetic, it shapes how work gets routed and how agents coordinate. Multi-agent coordination becomes natural when teams are organized properly. A Growth Team might include a Content Writer, an SEO Analyst, and a Data Researcher, each handling their piece of a campaign without manual task assignment from a human. ## Leader Agents That Delegate, Coordinate, and Oversee Every team can have a designated leader AI agent. The leader receives high-level goals, breaks them down into tasks, and delegates each task to the most qualified team member. This is agent orchestration without needing to configure a separate orchestration layer. Leader agents track task status across the team, surface blockers, and escalate to human managers when a decision requires approval. You get the efficiency of a fully autonomous agent team with the oversight controls your business requires. This architecture scales cleanly. A leader agent can coordinate 2 agents or 20. The delegation logic adapts based on who is on the team and what skills are available. ## The Org Chart as a Living, Functional System The org chart in Sistava is not a diagram for a slide deck. It is the actual routing map for your AI workforce. When a task comes in, the system knows which team owns it and which agents within that team are best positioned to handle each component. You can hire new AI employees directly into existing teams or create new teams as your needs grow. Restructuring is non-destructive: move agents between teams, promote an agent to leader, or spin up a dedicated team for a new project, without losing history or configuration. ## Use Cases ### Operations lead coordinating multiple AI agents Assign a leader agent to manage a team of AI employees. Work flows down automatically based on the org structure you define. ### Agency managing client-specific agent teams Group agents by client or project, assign a leader, and give each team its own scope and responsibilities. ### HR team running a structured onboarding workflow Build a team where a leader agent delegates tasks to specialists. Each AI employee handles its part of the process. ### Engineering team automating cross-functional delivery Organize AI agents by function under a shared leader. The leader routes work to the right agent without manual intervention. ## Comparison | Before | After | |---|---| | Managing multiple AI agents means juggling each one separately. | Organize agents into teams with a leader that coordinates work automatically. | | No way to delegate between AI agents, everything goes to one. | Leader agents route tasks to the right specialist on the team. | | Complex workflows require manual handoffs between tools. | The org chart defines who does what, and the team executes end to end. | | Scaling AI coverage means duplicating effort. | Add agents to an existing team structure and the leader handles orchestration. | ## FAQ ### How does a leader AI agent delegate work to team members? The leader agent receives a goal or task, reasons about what subtasks it involves, and assigns each subtask to the team member best suited for it based on their skills and current workload. The delegation happens autonomously, though you can review and override assignments at any time. ### Can a single AI employee belong to multiple teams? Yes. An AI agent can be a member of multiple teams, which is useful for specialists like a Data Analyst who supports both the Growth Team and the Operations Team. Their skills and duties remain consistent regardless of which team context the work comes through. ### What happens when a team leader cannot resolve a task? The leader agent escalates to the human manager responsible for that team. Escalation triggers a notification and a request for approval or guidance. The team does not stall, it pauses on the blocked task and continues other work in parallel. ### Is multi-agent coordination available on all plans? Teams and leader agents are available on plans that support multi-agent orchestration. Check the pricing page for the current tier that includes team features. ### Can I organize my AI agents into teams with a reporting structure? Yes. You can group AI employees into teams and assign a leader agent that coordinates and delegates work across the team. The org chart mirrors how human teams are structured. > My Marketing team has a lead who coordinates the Copywriter and SEO Analyst automatically. I brief the lead once and all three agents get to work. It actually feels like managing a team. > — Sofia M., CMO · B2B startup