Sistava

Dooza

Done-for-you AI employees built, run and maintained by the vendor

About Dooza

Dooza leads with the exact phrase: AI Employees Built and Maintained for Your Business. You describe the AI employees you need, and Dooza builds them, runs them and keeps them working. It is a service-heavy model aimed at marketing, sales, support and ecommerce automation for small and mid-sized businesses. Sistava sells the self-serve version of the same idea: you hire from a marketplace yourself, in minutes, and keep the controls.

Platform details

Official website

What is Dooza?

Dooza is a done-for-you take on AI employees. Its own words: describe the AI employees you need, we build them, run them, and keep them working. You are buying an outcome and a maintenance contract rather than a platform you operate. The commercial hook is low friction at the front. Setup is free, capped at five builds a week, with no contract and no card required, and you pay only if you keep using what they made. Concierge onboarding is included on every plan, and there are no per-resolution meters or per-seat surprises. It aims at small and mid-sized businesses across marketing, sales, customer support and ecommerce, specifically those who want automation without hiring for it or managing an implementation themselves.

Managed service versus owned platform

The real decision here is not features, it is who holds the controls. With Dooza, the vendor builds and maintains, which is genuinely valuable if you never want to open a settings page. The cost is a dependency: a change to how an employee works goes through them. With Sistava you hire from a marketplace and configure it yourself in minutes. You can change a role, tighten a guardrail, add a tool or read the execution log of any run at two in the morning without filing a request. Neither is wrong. Managed suits an owner with no technical appetite and steady requirements. Owned suits anyone whose requirements move weekly, which is most founders.

What to check before buying Dooza

Ask what happens on change requests: turnaround time, whether they are included, and who owns the configuration if you leave. In a managed model those answers matter more than any feature list. Ask about pricing beyond the free build. The homepage does not publish tiers, so model the real monthly cost at your actual volume before you commit, and confirm there is no metering surprise hiding behind the no-meters claim. Ask about transparency: can you see what each employee did, step by step, or only the outcome? That is the difference between an employee you manage and a service you hope is working.

Comparison