Every service you've connected, the company's memory, every AI employee at work in your company: the sales agent, the recruiter, outreach, the content agent. Ask in plain words, by text or by voice. The super agent goes to the right sources, reads what you are allowed to see, and comes back with the work done.
The company already knows the answer. It is just spread across systems, agents and people.
Deals live in the CRM, delivery notes in the document exchange, agreements in meeting notes, candidates with the recruiter, the procedure in someone's folder. Every question means opening several of them — or asking the one person who knows where to look. And when AI employees join the team, each one becomes one more window to visit.
The super agent is not one more tool. It is the single entrance to the tools you already have: every connector of your company, its shared memory, and every AI employee working in it. Connect a new service or hire a new agent — and, once there is a skill for it, the same conversation can ask it too; where there isn't one yet, it offers to request it.
Picks the sources a question needs, reads them within the asker's own access, and answers in one place — with the sources named.
What a given person can ask depends on what is connected to the company and on their role in it. The "Capabilities" panel next to the conversation shows exactly which skills are open to you.
The way you would ask your accountant, manager or head of sales. Type, or dictate — you see the recognised text and send it yourself.
From the connectors, the memory and the other agents — only what you may see. Big requests go into "think long" mode; the progress is visible, and the answer comes to the same conversation.
As text and tables you read by rows and columns. A dashboard or a page from your reports opens from the answer — and a link brings you back to the conversation.
Buttons under the answer turn it into something lasting.
Remember the ruleRun it on a scheduleRequest the skill
These are real questions people ask it today — no exact wording needed. Each answer is drawn from the sources that person is entitled to.
Instead of a weekly round of "how are things" across departments — one conversation that reads sales, purchases, tasks and meetings at once. And the questions you ask every Monday can simply arrive on Monday by themselves.
Reads: everything the owner may see — all connectors and all AI employees
why did purchases grow — prices or volumes?Periods, warehouses and suppliers compared, with data completeness and the delivery-note lines under every conclusion.Purchases
which deals have been stuck for a long time?Stage, next step and its date, whose move it is, the last touch.Sales agent
which assignments are stuck?What is in progress, what is overdue, what was forgotten.Tasks
Payment terms and bookkeeping habits are stated once, in words, and every following answer applies them. The agent computes; it never pays or posts — nothing goes to the bank or the accounting system.
Reads: Saby, Docs&Box, iiko — open to the owner and administrators
what do we pay by Friday?Due date and pay date for each incoming document, large amounts split under your ceiling, overdue ones separately.Saby
who should we ask to accept delivery notes?Delivery notes matched against the scans outlets sent to work chats: whom to ask, what isn't exported yet, what to check.Docs&Box · work chats
every morning check the shift report against the tillTerminal, cash and total — the difference and the reason in words.iiko · reports chat
If a sales agent or outreach works in your company, the super agent reads their results — you ask here instead of visiting each. It moves no deal and writes to no client.
Reads: sales agent, outreach, HubSpot
what stage is this deal at and what matters to the client?For one named deal — the stage and what matters to the client.Sales agent
what should I send today?What is ready, what waits for your approval, how many replies came.Outreach
what is the lead-to-sale conversion this quarter?How many reached each step, at what conversion, from which sources.HubSpot
The recruiter scores candidates against each role; the super agent reads those scores side by side. It runs no new scoring and writes to no candidate.
Reads: Recruiter
where does this candidate fit better — architect or partner?Which vacancies they are in, how they score in each, where they fit best.Recruiter
who is in today?What is planned and who is attending.Calendar
Ask Hermes, the content agent, what it can do for you — it lists its work in your own words. A short vertical video can start from the conversation: Hermes waits for your approval of the finished file before publishing. Video is opened to individual people on request.
Reads: Hermes, outreach, HubSpot
what can you do with our content?Hermes's work, listed in your words.Hermes
how many from the outreach reached a deal?Contacts that reached a reply, interest and a deal.Outreach
Meetings, chats, tasks and the knowledge base are read together — so "what did we decide and who is doing it" is one question, not four.
Reads: meetings, chats you're in, tasks, knowledge base
what did we agree at yesterday's meeting?Which meetings took place and how they ended.Meetings
what was said in the chat about delivery this week?From the chats you are a member of.Chats
what is our procedure for receiving goods?From the company's documents and procedures.Knowledge base
If the Legal agent works in your company, ask how courts decide disputes like yours — commercial courts, courts of general jurisdiction, higher-court rulings. The answer comes with references to cases. Practice covered today is Russian.
Reads: Legal
can we claim a penalty if the supplier missed the deadline?How courts decide similar disputes, with references to cases.Legal
find the new labelling rules onlineSearch across open sources.Web search
No settings window. Say the rule in the conversation; the agent does the work you asked and shows a "Remember the rule" button under the answer. Once the owner or an administrator presses it, the rule applies in every following answer and every scheduled run.
Press "Run it on a schedule" under a useful answer. The agent proposes the card itself: the goal is gathered from the whole exchange, not the last phrase, and it says how the work ends — what you will have in hand. Edit the words, accept, pick the days and the hour.
Restaurant chains and their back offices were first: their money questions repeat every week, and the data sits in the till, the document exchange and the chats. Rules in grey, the question in bold.
You get the due date and pay date for each incoming document; overdue ones and suppliers with no payment term yet — separately.
Sends nothing to the bank or accounting, creates no payment orders.
You get per outlet: whom to ask, what is accepted but not exported to iiko, what the accountant should check — matched against scans sent to work chats.
Writes to no one itself — put the answer on a schedule to have it arrive in a chat.
You get the words parsed into threshold, hour and chat, and an "Enable price control" button. Then once a day — a picture per discrepancy: product, outlet, price and control price.
On a day with no discrepancies the chat stays silent.
You get the difference for terminal, cash and total, and the reason in words: no report, incomplete, within tolerance, shortage, surplus.
Calls no discrepancy anyone's fault. Built for one outlet today — several on request.
In the conversation the agent only reads. It moves no deal, writes to no client or candidate, sends nothing to the bank or the CRM. Anything that changes things happens when a person presses a button under the answer.
Any employee can talk to it, and each sees only what the workspace already opens to them. Remembering rules and scheduling work is for the owner and administrators.
When a skill is missing, it shows what it managed to gather, names what it lacked and offers "Request the skill" — with how many times, and in how many companies, that skill has already been asked for.
The cost of a step, of background work and of the whole conversation is shown at cost price, without markup.
The super agent is live with its first companies, with bugs caught on real data. Answers are worth checking — the screen says so too: the agent works from the data it can see and may get it wrong. We don't publish invented time savings: in a diagnostic we look at the questions your team asks every week and size the effect before you commit.
Users are not counted — one person or thirty-four, the price is the same. Each profession includes $27 of work at the client price. Above that allowance, confirmed cost is charged with a 35% markup. Your terms and transition date are agreed individually. Shown in dollars at 93.33 RUB = $1; invoices are issued in rubles by default.
Tell us which questions your team keeps digging for and which systems and AI employees hold the answers today. We'll come back with an estimate of the effect and a plan for the pilot. We reply within one business day.
We'll come back within one business day. If it's urgent, write to us directly: leo@dovbenko.me