What is an AI sales manager and how does it work
An AI manager is a robot that answers customers in every channel, qualifies leads and keeps the records in CRM. Unlike a chatbot it remembers the context of the dialogue, recognises voice messages and photos, hands hot customers to a rep and works as part of the sales team rather than as a separate widget.
How an AI manager differs from a chatbot
A chatbot on a website answers by a script and lives inside a widget. An AI manager works in every channel at once: Telegram, WhatsApp, Instagram, Avito, the form on the site. It remembers the history of the dialogue — if the customer wrote in Instagram in the evening and continued in WhatsApp in the morning, the robot does not ask for the name and the service again.
A chatbot cannot qualify leads. An AI manager asks clarifying questions, recognises voice messages and photos, fills in the record in CRM and hands a hot customer to a rep. Cold customers and those still thinking it over it handles itself — it answers questions, reminds them about the service and books a convenient time.
A chatbot is a widget you embed on a site. An AI manager is part of the sales team that works through CRM. It sees all the deals, tasks and the customer's history. The rep receives a finished record with the fields filled in and a transcript of the dialogue, not a notification saying «new lead».
How an AI manager handles leads
The customer writes in any channel connected to CRM. The AI manager answers straight away — even if it is three in the morning or a Sunday. In the live GetGate project 27% of enquiries arrive in the evening and at weekends. They used to wait until morning; now the robot replies at once.
The robot asks clarifying questions and fills in the record in CRM. It recognises voice messages and photos — if the customer sent a screenshot of a competitor's price list or a voice message describing the task, the robot processes them and adds them to the record. The rep sees a transcript and the gist of the request, not a file that has to be opened separately.
When the customer is ready to buy or asks a question the robot has no answer to, it hands the dialogue to a rep. The handover happens inside the same channel — the customer does not notice the switch. The rep gets a notification, opens the record and continues the conversation from where the robot stopped.
The robot does not disappear after the handover. It goes on working with cold customers, answering routine questions and booking convenient times. In the GetGate project each rep frees up about an hour of working time a day — the time that used to go on answering «how much does it cost» and «when can you come».
Which channels can be connected
The AI manager works through AmoCRM. That means every channel AmoCRM can receive gets connected: Telegram, WhatsApp, Instagram Direct, Avito, the form on the site, email. Telephony is connected separately — the robot does not make calls itself, but it can take calls and put them through to a rep.
Every channel works the same way. The customer writes wherever it suits them, and the rep sees all the dialogues in one CRM window. The robot remembers the context across channels — if the customer started the dialogue in Instagram and continued in WhatsApp, the history is preserved.
To connect, you need an AmoCRM account and access to the channels. Setup takes from a few days to a few weeks — it depends on the number of channels and the complexity of the sales process. We connect the channels, train the robot for the client's niche and set up the pipelines.
What the robot has to be taught
The robot does not know your niche or your services. It has to be told what you sell, how to qualify leads and when to hand the customer to a rep. Training is not programming but filling a knowledge base: descriptions of services, frequent questions, the criteria for a hot customer.
We take the reps' real conversations and teach the robot to answer the same way. If a rep asks about budget and timing before naming a price, the robot does the same. If in your niche it matters to know the area of the site or the make of the equipment, the robot asks those questions.
The robot learns from dialogues. If it answered wrongly or did not understand the question, we see it in CRM and extend the knowledge base. In our test on real correspondence the robot's answer was no worse than a human's in 80% of cases in a blind comparison. The remaining cases are questions that need clarification or fall outside the knowledge base.
When the robot hands the customer to a rep
The robot hands over the customer when they are ready to buy or ask a question it has no answer for. The criteria for readiness depend on the niche: in some it is «named a budget and a deadline», in others «asked us to send the contract».
The handover happens inside the same channel. The customer does not see the switch — they keep writing in the same chat, and on the other side a rep is now answering. The rep gets a notification and sees the whole history of the dialogue in the CRM record.
The robot does not hand over cold customers. If someone simply asked «how much does it cost» and vanished, the robot keeps working with them: answers questions, reminds them about the service, offers to book a time. When the customer comes back ready to discuss details, the robot will pass them to a rep.
Setting the handover criteria is part of the training. We look at the stage where your reps usually step in and teach the robot to do the same. If in practice it turns out that the robot hands over too early or too late, the criteria can be adjusted.
How the robot works with CRM
The robot does not live apart from CRM — it works inside it. Every dialogue with a customer is a deal record in AmoCRM. The robot fills in fields, creates tasks and moves the deal through the pipeline stages. In CRM the rep sees the same thing they would see if they had handled the customer themselves.
The robot remembers the customer's history. If the person got in touch three months ago, the robot sees the earlier deal and does not ask for the name and contacts again. It can remind the customer that they were interested in a particular service and suggest returning to the conversation.
The robot creates tasks for reps. If the customer asked to be called back tomorrow at 15:00, the robot will set a task for that time. If the customer has not replied for two days, the robot will get in touch itself or set a task for the rep — depending on how the process is configured.
What the rep sees in CRM
The rep sees a deal record with the fields filled in: name, contacts, service, budget, timing. Every field the robot managed to establish in the dialogue is already there. If the customer sent a voice message or a photo, the record holds the transcript and the files.
The history of the dialogue is kept in the record. The rep can read the whole exchange and understand what stage the customer is at. They do not ask again what the robot has already clarified. The customer does not repeat themselves — which matters when several hours or days pass between the first message and the rep stepping in.
The rep can join the dialogue at any moment. If they see in CRM that the robot is handling a customer but want to step in, they simply write in the same chat. The robot switches off automatically and comes back when the rep is done.
How the analytics and the quality control work
An AI manager is not only a robot but also data. We see how many leads came in, how many the robot handled itself and how many it passed to reps. We see at which stages customers drop off and which questions the robot could not close. In the GetGate project 5 product groups are counted automatically — the robot sorts leads into categories and shows which services draw more interest.
Quality control runs automatically. The robot scores the reps' correspondence against a checklist: did the rep greet the customer, clarify the details, propose a next step. It is not a replacement for a live review, but it helps see where reps are losing customers.
The analytics show plan and actual in real time. We see how many leads came in today, how many of them are hot, how many deals are in progress. If the plan dips, the system alerts the manager. This is not a forecast but the current state of the sales team — you can react before the month is over, not after.
Who an AI manager suits
An AI manager pays off where there are many similar leads and reps spend their time answering «how much does it cost» and «when can you come». That means services, repairs, rentals, equipment, consulting. If you get more than ten leads a day and half the questions repeat, the robot will free your reps' time for hot customers.
An AI manager suits companies that work in several channels. If customers write in Telegram, WhatsApp, Instagram and on the site while reps switch between windows, the robot gathers all the dialogues in one place. Customers get an answer at once, reps see the whole history in CRM.
An AI manager does not suit complex B2B sales where every deal is unique and needs deep involvement. If a rep holds several meetings with a customer and negotiates dozens of terms, the robot will not replace them. But it can take on the initial qualification and the booking of a meeting.
How to get started
We review your sales department and find where money is lost. We look at how many leads went unhandled, how many customers wait more than an hour for a reply, which questions repeat. That takes one or two calls.
We assemble the CRM, train the robot for your niche and connect the channels. We set up the pipelines for your sales process, connect telephony and integrations with payments and documents. We train the team to work with CRM and the robot manager. The timeline depends on the complexity of the process and the number of channels.
The robot starts answering and booking customers while the reps work under supervision. We watch plan and actual, see where the robot copes and where it needs more training. We refine the knowledge base, adjust the handover criteria and add new scenarios. Once the system runs steadily, we scale it to other services or regions.
If you want to bring in an AI sales manager, start with a review of your sales department. We will show where the robot can help and work out how much of your reps' time it will free up.
Frequently asked questions.
Are an AI agent and a chatbot the same thing?
No. A chatbot is given a script, an agent is given a goal. The bot follows a branch drawn in advance and gets lost at any step aside; the agent understands what is written in words and chooses what to do next itself.
Will the client realise they are not talking to a person?
Most likely yes, and passing the agent off as a human is not worth it: it comes out quickly and spoils the impression. In practice people are annoyed not by a robot but by silence.
What if the agent answers wrongly?
A properly configured agent answers from your materials and hands everything it doesn't know to a person. For the first weeks after launch you have to read real conversations and refine the answers — without that step the launch cannot be considered finished.
Does an AI agent need a CRM?
Formally no, it works without one. But then most of the value is lost: the correspondence stays in the messenger, no history accumulates and there is nothing to measure the result with.
Will an AI agent replace salespeople?
No, and there is usually no such goal. It takes over the first contact and the routine so that a person can deal with what needs a person: negotiation, difficult cases and money.
How much does an AI agent cost?
The price depends on the number of channels, the complexity of the scenario and the integrations needed. A sensible order of operations is to first count how many enquiries are being lost now, and decide on payback with that figure in hand.
See also.
How the whole thing works: Turnkey AI implementation for business
See how it works.
Write a couple of lines about your business to our agent — it will reply and book you a free review. That is the demonstration.