Project manager tracks agent deliverables
Every task the AI employee creates or is assigned appears on a board, so the team always knows what is in progress and what is done.
A kanban board that tracks what every AI employee is working on, in Backlog, To Do, In Progress, and Done columns. Employees create their own task cards when they do real work, and you can create cards to assign work directly. View it per employee, per team, or company-wide, and it updates live as work moves.
Every employee has a kanban task board with columns for backlog, in progress, review, and done. Drag cards between columns, assign priorities, set deadlines, and add notes. The board gives you a visual snapshot of what each employee is working on and what is coming next.
Your employee manages its own board during conversations. Ask it to "research 5 blog topics for next week" and it creates a task, moves it to in-progress, and marks it done when the research is complete. You never manually create tasks unless you want to. The board stays current because the employee updates it as part of its workflow.
Tasks created from conversations include full context: what was discussed, what the requirements were, and which messages led to the task. Click any card and see the original conversation thread. This means you never lose track of why a task exists or what the employee understood the requirements to be.
The built-in Task Board gives every AI employee a visual workspace: Backlog, In Progress, Review, and Done. Unlike project management tools you maintain manually, this board is updated by the agent as work moves forward. You see real progress, not stale cards.
Assign tasks by adding them to the backlog. The AI agent picks them up, moves them through the pipeline, and flags anything that needs your review. The board is the source of truth for what your autonomous agent is working on right now.
One of the hardest parts of deploying AI agents is knowing what they are actually doing. The Task Board solves this with a persistent, structured view of every task in flight. No digging through logs or asking the agent for status updates.
Each card carries context: the original task description, current status, linked outputs, and any blockers the agent has surfaced. When work is done, the card moves to Done and the output is linked directly. Everything connected, nothing lost.
You can assign tasks through chat, scheduling, or directly via the board. The AI employee treats all three the same way. Whether a task arrives from a manager at 9am or from a scheduled trigger at midnight, it lands in the backlog and gets worked.
Teams using multi-agent setups can see all boards across their workforce from the Workspace view. Cross-employee coordination becomes visible at a glance, which is critical when orchestrating parallel agentic AI workflows.
This closes a gap that most AI tooling still leaves open: employees that can execute tasks but have no shared place to hand work to each other or to you, so everything routes through chat instead. On the Task Board, a card can move from one employee's board to a teammate's during delegation, carrying its full history, so a multi-agent workflow reads like a single continuous thread instead of a chain of separate conversations.
Every AI employee maintains its own kanban board, moving tasks through stages automatically as it works so you always know the real status.
When you give your AI employee a task, it appears on the board in the backlog. As the agent starts working, it moves the card to in progress. When it finishes, it moves to done and files any output to Drive. You do not update the board, the agent does. The board reflects what is actually happening, not what someone remembered to update.
Tasks you delegate directly, tasks from scheduled runs, and tasks created by team leaders all land on the same board. You can create cards manually too, adding them to the backlog for the agent to pick up. The board gives you a clear picture of workload across each employee without asking for a status update. Filter by status, sort by date, and drill into any card to see the full execution trace.
Every task the AI employee creates or is assigned appears on a board, so the team always knows what is in progress and what is done.
Designers, engineers, and AI agents share one board, keeping handoffs clean and nothing falling through the cracks.
The AI agent creates a task for each escalated ticket, moves it through stages, and closes it when resolved.
Automated workflows generate tasks on each run, giving ops a visual record of what was completed and when.
A team leader reviews the backlog and assigns each item to the specialist employee suited to it, and the board updates to show who owns what, without a manager creating every card by hand.
| Before | After |
|---|---|
| Agent activity is invisible until you dig through logs. | All tasks surface on a shared board, visible at a glance. |
| Human and AI work live in separate tools. | One board covers both, so handoffs are seamless. |
| No way to know if a background task finished. | Task status updates in real time as the agent works. |
| Teams use spreadsheets to track what the agent did. | The task board is the single source of truth, no extra tooling needed. |
The AI employee updates the board automatically as it works. Cards move from Backlog to In Progress when the agent starts, to Review when it needs input, and to Done when the task is complete.
Yes. You can create and assign tasks directly from the Task Board. The agent picks them up just like tasks assigned through conversation or scheduling.
Traditional task boards require humans to update them. The Sistava Task Board is updated by the agent itself, making it an accurate real-time view of autonomous work rather than a manually maintained tracker.
Yes. The Workspace view shows task boards across your entire AI workforce, which is useful for teams running parallel agents on different workstreams.
Every AI agent has a built-in kanban board where tasks move through To Do, In Progress, and Done columns automatically. You can view and manage the board directly from the employee workspace.
Yes. During multi-agent delegation, a team leader or teammate can hand a task to another employee, and it lands on the receiving employee's board with the context of why it was delegated, visible in the team's activity feed.
Each card surfaces any blocker the employee has flagged directly, so a stalled task does not sit quietly in In Progress. If an employee cannot proceed without your input, the card reflects that and the note explains what it is waiting on.
I stopped asking my agents for status updates. The board tells me exactly what is in flight and what shipped. It is the most accurate task tracking I have had with any team.
Task Board is part of Where their work lives.
Your AI agents manage their own workspace. Scheduled tasks run daily, weekly, or on custom cron cadences. A built-in kanban board tracks what is in progress. Every document lands in a personal Drive. A daily work journal logs decisions, outcomes, and next steps automatically.