You talk to Alex. She runs the team. Five department heads covering sales, finance, marketing, engineering and operations, each with a name, a face and a long term memory. Not a chatbot. Your team.
Illustrative activity. See a real one →
Each worker has a name, a face, a specialized role, a long term memory and a shared knowledge base across the organization. You talk to Alex. She brings in whoever the job needs.
Pick your tier, connect your tools, and the team comes online with their roles and guardrails already in place.
Tell Alex what needs to get done, watch her delegate the work. Your workers move across departments and bring you back in the loop when they need an approval or have a finished job to show you.
The team learns with every conversation, decision and action. They create long term memories and build their knowledge base to understand your business. Month three is far better than week one because they remember.
Pick a job and watch Alex make a plan. She pulls from her memory, chooses the correct specialist, and will pause once she needs your approval. These are not chatbots, they are independent workers that execute real tasks with real audit trails.
No black box and no jargon. Here is what is really happening when you hand your team a job.
You do not manage five inboxes or learn five tools. You tell Alex what you need. She decides who does it, brings them in, and comes back to you when there is something to approve or something finished to show you.
Every conversation, decision and action becomes a long term memory and goes into a knowledge base the whole team shares. Nobody starts from scratch, nobody asks you the same question twice, and month three is far better than week one.
Each worker only reaches the data their job needs. When one of them needs something from another department, that hand-off is deliberate, recorded, and something you can take back.
Sam asks Riley to check a margin. Riley flags a renewal to Alex. You are not the messenger between five tools, because they already work together.
You decide what needs signing off. The team learns your rules and only brings you the things you asked to see. Everything else just gets done, and all of it is written down.
You at the top. Alex in the middle, running the team. The specialists underneath her, each owning their department. She is the only one you have to talk to.
Most AI projects die over reliability, control or security. We don't put that in the fine print. We put it in the architecture.
You define what has to clear a queue before it leaves your org. The team learns those rules and escalates what matches them, rather than asking you about everything.
Every action and hand-off is written immutably and cannot be edited after the fact. Reconstruct any decision, any day, months later.
Your company gets its own space, its own keys, its own storage. It never shares a room with another customer, and it is never used to train models.
Every connection you grant is encrypted, limited to the worker who needs it, and revocable in one click.
You see a usage bar, the same way you do on the AI tools you already pay for. It resets each month, and you can ask us for a hard ceiling.
Close your account and your data goes with it. The few records we have to keep for tax and compliance are listed, with exact periods, on our account deletion page.
These are the ones people ask about most. The subprocessors page is the complete and current list, and it is the one we keep up to date.
I started AgentCorp because every "AI employee" I tried wanted full access to everything and gave me no way to see what it had done. That is not a workforce. That is a liability with a friendly name.
So the approvals and the activity record came first, and the workers came second. If you are evaluating us, start there. Ask me the hard security questions early. I would rather lose the deal in week one than in month six.
support@agentcorp.workNeed the full packet: DPA, subprocessor notices, architecture review? Emailsupport@agentcorp.work and we'll send it the same day.
Most teams start with Sam, the function with the fastest and most measurable return, and add the rest once it has paid for itself.
Sam researches prospects, drafts the outreach, watches pipeline health, summarizes calls and keeps the CRM clean. Riley sees the resulting pipeline in the forecast without anyone re-keying it, because they share the same memory.
The voice-native swarm dials, qualifies and books at volume, then hands the meeting to Sam with full context. Ask us for a seat on the early-access list.
Copilots are generalist chatbots. Good at many things, great at nothing. AgentCorp gives you specialists who each own a department, and a chief of staff who runs them.
Tick the functions you'd otherwise need to hire for. We'll size the team, price it, and put it next to payroll. Every assumption below is editable, because your market isn't the average one.
Base salaries are typical US midpoints for small-company roles, shown so you can sanity-check the math. Adjust them mentally for your market. Overhead covers payroll tax, benefits, equipment, and the software seats each hire needs.
Straight arithmetic on the salaries you picked. In practice a worker absorbs the volumeof a function rather than every task a person does. Most teams keep a human on the seat and stop adding the next three. The saving is real. Treat the multiple as a ceiling, not a promise.
See that planEvery plan includes the whole team. What changes as you move up is seats, usage, and how much of the infrastructure is yours.
Volume pricing, custom terms, your own cloud, and workers built for your business. Book a demo and we will scope it.
You get a bar, a percentage and a reset date, the same as the AI tools you already use. Nothing to count and nothing to decode.
The desktop apps are live and update themselves. Mobile is in production now. Same account, same workers, same memory wherever you sign in.
Apple silicon · macOS 12 or later
Download for MacOn an Intel Mac? There is a build for that too.
Windows 10 or 11 · 64-bit
Download for WindowsInstalls per user, no admin rights needed.
iPhone and iPad · iOS 16 or later
Coming soonApprove work from your phone. In production now.
Android 10 or later
Coming soonPush alerts the moment a worker needs you. In production now.
The web app is the full product, in any modern browser, with nothing to install and nothing to update.
You do not prompt a tool here. You give Alex a job and she runs it, brings in whoever it needs, and comes back when there is something to approve or something finished to show you. The team remembers your business between conversations, works while you are asleep, and writes down everything they do. Ask us for a live look on the first call rather than a slide deck.
Three things. Nothing leaves your company without your approval first, whether that is an email, a payment or a post. Each team member only reaches the data their own job needs. And every action is written down permanently, so months later you can see exactly what happened and why.
Deliberately. A junior hire in any one of these five functions costs more per year than the entire team does. AgentCorp starts at $3,000 a year for one seat and tops out at $30,000 a year for twenty. The number to compare it against is payroll, not other software.
The same way it does on the AI tools you already use. You see a bar showing how much of your month you have used, and it resets. Nothing to count, no per-model bills, no line items to decode. If you would rather have a hard ceiling than a top-up, ask and we will set one on your account.
In Supabase, in the United States, encrypted and reachable only by the workers whose job needs it. Nothing is used to train models. The full list of who touches what is on our subprocessors page.
Most people have work coming back inside the hour. The trial runs seven days so you can see it before you commit. Real return on Sam usually lands inside the first month, and the memory advantage shows up around month three.