What is Sistava and what does it do?
Updated
Sistava is an AI workforce platform for running defined, repeatable workflows in sales, marketing, customer support, operations, and research. You set up "AI employees" by giving each one a role, business context, tool access, and a review process — then delegate bounded tasks and expand scope as you build trust. It fits teams that have repeatable work with a clear owner and an approval path, not one-off tasks or decisions you want fully automated.
What Sistava actually is
It's a platform for staffing departments with AI employees rather than a single chatbot or a generic AI assistant. The core idea is that each AI employee is scoped to a workflow: you define the role, feed it the context and goals, connect the tools it's allowed to use, and decide how its output gets reviewed.
Plans start from $50/mo, with included credits, employee capacity, and controls varying by tier. The site points to a current pricing table, so check that page before choosing a plan rather than assuming a fixed rate.
What it does, by department
Sistava lists AI employees across these areas:
| Department | What the AI employee is meant to do |
|---|---|
| Sales | Define and review repeatable sales workflows |
| Marketing | Support content and campaign workflows with clear inputs |
| Support | Prepare support work for human review and approval |
| Operations | Coordinate repeatable operational tasks |
| Data | Help organize research and analysis workflows |
| Finance | Assist with defined finance-adjacent workflows |
| Product | Support product research and planning work |
| Design | Assist with defined creative workflows |
| People | Support people-operations work with human accountability |
| Legal | Assist with research and document workflows — not legal advice |
The pattern across all of them: the AI does the repeatable preparation and execution, and a human stays accountable for review and approval.
How setup works
- Pick a role or define a workflow. Choose an available role, or define a custom one focused on a specific repeatable process.
- Give it context. Provide the business context, goals, and the tools appropriate to that workflow.
- Connect apps carefully. Only connect supported apps after reviewing what access and actions you're permitting.
- Delegate a bounded task. Start with a limited task, review the result, then expand scope deliberately.
The site's own guidance is that each workflow should have a clear owner and an appropriate approval path — that's the condition that makes the model work.
What users report
The testimonials on the site describe a few recurring experiences worth knowing before you start:
- Expect to review more than you need to at first. An attorney and practice owner said he still checks the work "probably more than I need to," but is starting to trust it with more.
- Better inputs produce better output. A founder said the first prospect list wasn't great and improved after explaining the sort of companies they work with — the follow-ups then started getting replies.
- Output may need brand editing. A studio owner liked the TikTok videos but changes some captions that felt "a bit much" for the brand, and valued the content calendar most.
- It can act, not just advise. One user asked where to change a setting and the AI employee did it for them instead of sending a help page.
Who it's for
Sistava suits you if you have repeatable workflows in one of the listed departments, a person who can own each workflow, and a review step you're willing to enforce. It's a poor fit if you want unattended automation with no human check, or if your work is too variable to define as a workflow. Before committing, look at the current pricing table to match employee capacity and controls to how many workflows you actually plan to run.