Pre-built or custom
Browse 14 pre-built roles across sales, marketing, support, and operations, or use the custom builder to design a role that does not exist yet. Either way, your employee is ready in under a minute.
A full workforce. Hired in seconds.
Browse a marketplace of pre-built AI agent roles and full teams, or build your own from scratch. Organize them into teams with leaders, set up your org chart, and onboard new hires in minutes. Every employee arrives configured and ready to deliver from day one.
Building an AI workforce starts with hiring the right people. The marketplace offers pre-built roles and complete teams across marketing, sales, support, research, and operations. Each employee arrives configured with the right skills, duties, tools, and persona for the job.
When no marketplace role fits, the Custom Employee Builder lets you assemble one from scratch. Pick skills, assign tools, write rules, shape the personality, and choose the AI model.
As your workforce grows, structure keeps it productive. Teams have leaders who delegate work, coordinate across departments, and report back. Organizations let you run separate AI workforces per client or department with full data isolation.
You do not have to commit to find out whether a role fits. Interview a candidate first, exactly as you would talk to them after hiring: describe a real piece of your work and watch how they would handle it. Hire from that same conversation and the transcript comes with them, so you are not repeating yourself to the employee you just chose. If it is not right, the candidate moves to the rejected column and you try someone else, with the whole pipeline visible on one board.
Nobody starts at a blank screen. Every new account already has a personal assistant hired and ready to talk, so your first move in Sistava is a conversation rather than a decision. Tell it what you are trying to get done and it helps you work out who to bring on, then hires them for you as you describe what you need. It is a real employee with the same memory and tools as any specialist, and it fills one of your active roles like any other hire.
Onboarding happens inside that conversation rather than in a settings panel. Your new hire opens with a short set of named starting points drawn from what that role actually does, you pick the ones that match your week, and the work begins there. Nothing asks you to fill in a profile before anything useful happens, and what you tell them in that first conversation is retained, so week two does not begin from nothing.
Structure is what keeps a growing workforce from turning into a group chat. A team has a leader who breaks a goal into pieces, hands each one to the right specialist, and comes back with the result, so you brief one and not five. Separate workspaces let an agency run a different workforce per client with the data kept apart, while the org chart shows who reports to whom. Hiring itself costs nothing and credits are used only when an employee does work, so pause a role you are not using, terminate one you do not need, and bring a former hire back later with its history intact.
Browse 14 pre-built roles across sales, marketing, support, and operations, or use the custom builder to design a role that does not exist yet. Either way, your employee is ready in under a minute.
Group your AI employees into teams with a designated leader. The leader breaks down goals, assigns tasks to the right specialist, and reports back with results. Your org chart reflects your actual business structure.
New AI employees go through a five-step onboarding flow covering company context, team goals, skills, tool connections, and a first task warmup. They understand your business before they start working.
Your AI employees can understand and respond in 15+ languages, including English, Chinese, Japanese, French, German, Spanish, and more. Advanced models offer high-quality output in most major world languages.
Chat with a candidate before committing, hand them a real piece of your work, and judge the answer rather than the job description. Hire from that same conversation and the transcript carries over, while candidates you pass on stay on the pipeline board for later.
You hire AI employees from a marketplace or build custom ones, then organize them into teams with leaders and defined roles.
Browse the marketplace for pre-built AI agents specialized in sales, support, research, operations, and more. Each one comes with skills, duties, and a persona already configured. You can hire one in minutes or use the custom builder to design an AI employee from scratch, defining exactly what they know, how they behave, and what tools they have access to.
Once hired, you arrange your AI employees into teams with an AI leader who coordinates the group. The org chart mirrors how a real company works: leaders delegate, report up, and manage their team's workload. Onboarding is automatic, each AI employee gets loaded with your company knowledge, team context, and assigned tools the moment they join.
Day one is smaller than it sounds. Pick a role, or ask the assistant already sitting in your account to pick one with you, then talk to it about the first real job you want done. There is no configuration stage to clear first, because skills, duties, tools, and persona all arrive set for that role, and every part of it stays editable later by asking in plain language. If the marketplace has nothing close enough, the custom builder lets you assemble a role yourself, choosing what it knows, what it is allowed to use, the rules it follows, how it speaks, and which AI model powers it.
Browse the marketplace and hire a pre-configured AI employee for sales, support, research, or ops. No setup required: they arrive with skills, duties, and a persona already tuned for their role.
Use the custom builder to define exactly what your AI employee knows, how they behave, and which tools they can access. Tailor every detail to your specific workflow.
Hire multiple AI employees and organize them into teams with a leader. The leader coordinates work, delegates to specialists, and reports back, so you manage one entity, not ten.
Walk each new hire through your company's context, policies, and tools during onboarding. They start informed and ready to work, not blank slates that need weeks of prompting.
An AI employee is a named role with a workspace of its own: a task board, a Drive holding the files it produces, a daily work journal, memory that carries across conversations, and a set of tools it is allowed to use. A chatbot answers the question in front of it and forgets you the moment the tab closes. The practical difference is that you brief an AI employee once and come back later to finished work instead of starting from nothing every time.
Start from the job that eats the most of your week rather than from the list of roles. The personal assistant already sitting in your account is built for exactly this: describe what you are trying to get done and it will suggest who to bring on and hire them for you. If you are torn between two roles, interview both before committing to either.
Interview the candidate. You get an ordinary conversation with that role before it joins your roster, so you can hand it a real piece of your work and judge the answer rather than the job description. Hiring straight from that conversation keeps the transcript, and passing costs you nothing and leaves the candidate on your pipeline board in case you reconsider.
Pick a role and talk to it. Skills, duties, tools, and personality arrive already set for that role, so there is no configuration stage to get through, and your new hire opens with a few named starting points to choose from instead of an empty prompt box. The setup that would normally take a week is the conversation itself.
No. Every role in the marketplace arrives with the skills, duties, and tools that job needs already assigned, and you change any of it later by asking in plain language rather than hunting through settings. Employees can also adjust their own setup as the work changes, so a gap you did not anticipate does not mean starting over.
Terminate it and the seat frees up for someone else straight away. A terminated employee can be kept and restored later with its state and history, so a role you shelved during a quiet month is not gone for good. Hiring the same role again after termination gives you a clean version reset to its defaults.
Yes. Invite collaborators into your workspace, up to the seats your plan includes, and they work with the same employees, boards, and Drive that you do. If you need genuinely separate groups, one per client for instance, create separate workspaces and their data stays apart.
No. Brief an AI employee the way you would brief a colleague, in ordinary sentences, including the messy context you would normally have to explain twice. A standing preference can be written down once as a rule the employee follows every time, and what you tell them is retained, so you are not rewriting the same instructions every week.
Scaling a human team means months of recruiting, onboarding, and training. With AI employees, you hire instantly and deploy immediately. Every AI agent you bring on already understands your business context, has access to the right tools, and starts contributing on day one.
Your workforce grows with your workload, not your headcount budget. Add specialist agents when you need them, organize them under leaders who coordinate work across the team, and restructure your org chart as your company evolves. You stay in control without managing day-to-day tasks yourself.
We hired a support agent on Monday and it was handling tickets independently by Tuesday afternoon. The setup was maybe 20 minutes total.