What to Know About Sistava Pricing Before Choosing a Plan

Sistava starts at $50/mo, but that entry price is not the whole decision. The page states that included credits, employee capacity, and controls vary by tier, so the plan you pick depends on how many AI employees you need running at once and how much oversight you want built in. Before choosing, open the current pricing table on the Sistava pricing page rather than relying on the starting figure alone.

What the pricing page actually tells you

The available information is deliberately high-level:

What is not stated: exact credit amounts, the number of employees per tier, overage charges, or whether a free trial exists. Treat any assumption about those as unverified until you check the pricing table.

The cost question is really a capacity question

Because capacity and credits scale by tier, your real budget depends on how you intend to use the platform. Sistava is built around defined, repeatable workflows — sales, marketing, support, operations, research, and similar functions — with a human owner and an approval path for each.

That shapes pricing in two ways:

• Breadth of roles. Running one support workflow costs less capacity than staffing several departments at once.
• Depth of usage. A workflow that drafts content for review uses fewer credits than one that touches connected apps and processes tasks continuously.

If you only need a single bounded workflow, the entry tier may be enough. If you want AI employees across sales, marketing, and support simultaneously, expect to move up.

How to choose a plan without overbuying

1. List your workflows first. Write down each repeatable task you want delegated — for example, preparing support replies for human review, or building a prospect list.
2. Assign an owner and approval path to each. The platform expects a clear human owner per workflow, so this also tells you how much control you need from your tier.
3. Estimate concurrency. How many of these need to run at the same time? That maps to employee capacity.
4. Check the current pricing table. Match your list against the credits and capacity each tier includes.
5. Start narrow. The documented approach is to delegate a bounded task, review the result, then expand scope deliberately — which also keeps you on a lower tier until you have proof the workflow works.

What early users ran into

The founder testimonials on the page are worth reading as expectation-setting, not as pricing data:

• One user (Marcus T., founder) said the first prospect list "wasn't great" and improved only after he explained the target companies better — a reminder that output quality depends on the context you supply, and rework costs time even if it doesn't cost credits.
• Another (Daniel R., attorney) noted he still checks the work "probably more than I need to" — useful if you are weighing how much review capacity your tier should support.
• A studio owner (Sanne B.) described asking the AI employee to change a setting and having it done directly, which is the kind of connected-app action that may sit behind higher-tier controls.

None of these confirm specific pricing, but they show where value and friction actually appear.

Practical checks before you commit

• Confirm the current monthly price and what each tier includes on the pricing page.
• Ask whether unused credits roll over, and what happens when you exceed them.
• Verify which controls (approval paths, access restrictions) are available at your intended tier.
• Match employee capacity to the number of workflows you plan to run concurrently, not the number you might run someday.
• Note that legal-related workflows are described as research and document assistance, not legal advice — factor human review into any such use.