Sistava is an AI workforce platform where solo founders hire AI employees to run their business around the clock. Each AI employee has a specific role like sales, marketing, or customer support, with real tool integrations, persistent memory, and the ability to work inside your existing apps like Slack, Gmail, and HubSpot.

What is an AI employee?

An AI employee is an autonomous AI agent with a defined role, persona, skill set, and tool access. Unlike a chatbot that only answers questions, an AI employee takes on recurring work like writing emails, qualifying leads, answering support tickets, and publishing content, and it works on its own around the clock without being prompted each time.

How is Sistava different from project management software?

Sistava is not project management software. You hire AI employees who do the work, not a tool that tracks work done by humans. Your AI employees run sales outreach, write marketing content, answer support tickets, and handle operations on their own, without constant supervision.

How much does Sistava cost?

Sistava has a free plan you can start without a credit card, plus paid plans that scale with how much work you hand to your AI employees. See the pricing page for current plans.

What can AI employees do on Sistava?

Your AI employees take on the recurring work that runs a business: qualifying and reaching out to leads, writing and publishing marketing content, answering support tickets, and handling day to day operations. Each one comes with a role and skill set, so it can start working the day you hire it.

Sistava is built for solo founders and small teams who need to run sales, marketing, support, and operations without hiring a full human team. It gives you the equivalent of a growth team you can hire in minutes.

The First 30 Days of an AI Employee on Your Team

Guide — 2026-08-03 — by Mahmoud Zalt

What the first 30 days with an AI Employee really look like, week by week: hiring, briefing, calibrating, and reaching the point where you trust it.

People expect one of two extremes from an AI Employee: either it works perfectly out of the box, or it is a toy that never really helps. The truth is in the middle and it looks a lot like hiring a sharp junior teammate. On day one they are capable but do not know your business. By day 30, if you invested a little coaching, they know how you like things done and you have stopped checking their every move. The 30-day arc is not about the AI getting smarter. It is about it learning your specific world.

Setting expectations this way matters, because the founders who get the most from an AI Employee treat the first month as onboarding, not a free trial they judge in an afternoon. They brief clearly, review closely at the start, and correct in plain English. The ones who are disappointed usually skipped the coaching and expected mind-reading. This guide walks through what each week actually looks like so you know what is normal, what to do, and when it is fair to start trusting the work.

At a Glance

49/mo: Sistava entry plan with a full AI Employee
Day 1: First real drafts, briefed in plain English
Week 3: When corrections typically fall off
Day 30: Light-touch trust on routine work

Week one: hire and brief

Week one is about giving the AI Employee a real job description. You hire the role, then write one paragraph about your business, your customer, your tone, and what a good result looks like. This brief is the single most important thing you do all month, because everything the Employee produces flows from it. Vague brief, vague output. A specific brief that names your ideal customer and shows your voice gets you drafts that are already close on day one.

Then you give it a first small batch of real work and connect the tools it needs, like your inbox, CRM, or docs. Keep the first batch small on purpose. The goal in week one is not volume, it is a clean loop: brief, output, your reaction. You are looking for the gap between what it produced and what you wanted, because that gap is exactly what you will close over the next three weeks through correction.

Expect week one to feel like slightly more work than doing the task yourself, and know that this is normal and temporary. Every good hire costs time before it saves time, and an AI Employee is no different. You are front-loading the coaching so the back three weeks pay it off. Founders who quit in week one because it was not instantly magic are quitting right before the curve turns in their favor. The relief is real, it just arrives in week three, not on day one.

Weeks two and three: review closely, then less

Week two is the heavy-review week, and that is by design. You read everything the AI Employee produces and you correct in plain English: too formal, missed this detail, always cc this person, never promise that. Each correction teaches it your judgment, and unlike a workflow you are not editing settings, you are coaching. This is the same thing you would do with a new human hire in their second week, and it works for the same reason.

By week three you should notice the corrections getting shorter and rarer. The Employee has absorbed the patterns, so the drafts land closer to final and you are nudging instead of rewriting. This is the turning point of the whole month. Work that felt like it needed your full attention now needs a glance. The hours you spent coaching in weeks one and two start coming back, and you can feel the task lifting off your plate.

Benefits

Correct in plain English

Say what you would change the way you would tell a person, not by editing a configuration.

Review heavily early

Read everything in week two so your judgment gets encoded before you scale the volume.

Name the edge cases

Tell it the exceptions as they come up, and it stops repeating the same mistakes.

Hand over gradually

Let trust grow as corrections shrink, rather than deciding for or against it on day one.

Week four: light-touch trust

By week four the relationship has changed. The AI Employee handles the routine version of its job with occasional oversight, and you are pulled in only for the genuinely judgment-heavy calls. You are no longer reading every line, you are spot-checking and steering. This is the state you were hiring for: a reliable teammate that owns the ordinary work and escalates the exceptions to you. It took a month of coaching to get here, which is exactly how long a good human hire takes too.

The first 30 days, week by week

Week 1: hire and brief — Write the one-paragraph job description, connect the tools, and run a small first batch.
Week 2: review everything — Read all output and correct heavily in plain English so your judgment gets encoded.
Week 3: corrections fall off — Drafts land closer to final, you nudge instead of rewrite, and the hours start coming back.
Week 4: light-touch trust — The Employee owns the routine work and escalates the judgment calls to you.

One honest note on day 30: light-touch trust does not mean zero oversight forever. The best pattern, even months in, is a periodic spot-check, the same way you would keep a loose eye on a trusted employee's work. The difference is that a glance replaces a rewrite. You are not proofreading anymore, you are managing, and managing one reliable AI Employee takes minutes a week instead of the hours the task used to cost you.

When the first role reaches day 30 and runs with a light touch, you have also learned the skill that matters most: how to onboard an AI Employee. The second role takes less time because you already know how to brief clearly and correct efficiently. That compounding is the real payoff of doing the first month well. You are not just gaining a teammate, you are becoming the kind of manager who can add another one whenever the next painful task appears.

Frequently asked questions

FAQ

Why does an AI Employee need 30 days if it is already capable?

The capability is there on day one, but knowledge of your specific business is not. The 30 days are for the Employee to learn your customer, your tone, and your judgment through briefing and correction. It is the same reason a sharp human hire still needs a month to be trusted: competence is instant, context is earned.

How much of my time does the first month really take?

Week one and two take more attention because you are briefing and reviewing closely, roughly the time the task itself would cost. Weeks three and four take much less as corrections fall off. By day 30 the ongoing time is a few minutes of spot-checking a week, which is why the front-loaded effort pays off.

What if the AI Employee keeps making the same mistake?

Name the mistake explicitly in plain English and give it the rule you want instead. Repeated errors almost always trace to a brief that never stated the expectation. Once you say it clearly, the Employee stops repeating it, the same way a person would once you finally told them the unwritten rule.

Can I trust it with real customer-facing work by day 30?

For routine, well-briefed work, yes, with light oversight. For high-stakes or unusual cases, keep yourself in the approval loop longer. The healthy pattern is graduated trust: the Employee owns the ordinary work and escalates the exceptions, and you spot-check rather than proofread.

How much does it cost to run one for the first month?

Sistava starts at 49 per month with credits bundled into the plan and no per-seat fee. The first month is the same price as any other, so the only real investment is the coaching time, which drops sharply after week two as the Employee calibrates to your business.

The honest expectation for the first 30 days is a curve, not a switch. Week one costs a little more than doing the work yourself, week two is heavy coaching, week three turns the corner, and week four gives you a teammate you trust with a glance. Treat it like onboarding a promising junior hire, invest the coaching early, and correct in plain English. Do that, and by day 30 you will have exactly what you wanted: real work done well, off your plate, and the confidence to hire the next role.