How to link about the sales robot a sales robot with the CRM, analytics and quality control

Why a robot without a CRM loses enquiries

The client wrote on Telegram, the robot answered and qualified them. But if no record was created in the CRM automatically, nobody on the team learns about the enquiry. The robot will remember the conversation only within one channel: if the client later phones or writes on WhatsApp, the history is lost.

The chain works like this: the robot receives a message from Telegram, WhatsApp, Instagram, Avito or the site through AmoCRM. It answers, asks clarifying questions, recognises voice notes and photos. Everything it learns goes into the deal record. When the client is ready, it hands the hot lead over with the full history.

In a live GetGate project, 27% of enquiries arrive in the evening and at weekends — they used to wait until morning. Now the robot answers at once and creates the record, and in the morning the salesperson sees a warm client with the fields filled in. That frees up roughly an hour of working time every day.

What the sales pipeline in the CRM gives you

The pipeline shows which stage each client is at: new enquiry, qualification, proposal, payment. The robot moves the record along the stages itself as the client gives the answers it needs. A person joins only on the hot ones: when the client agrees to a meeting or asks for a quote.

Without a pipeline it is unclear how many clients are stuck at each step and why. With one you see it differently: here are the records sitting at qualification, and here are the ones nobody has replied to for over a day. That signals that a person is overloaded or did not understand what to do next.

We build the pipeline around the client's process, not around internal departments. The stages have plain names: “Need established”, “Quote sent”, “Awaiting payment”. The robot and the people work to the same rules, and the record does not fall between them.

How sales analytics connect to the robot and the CRM

The analytics take data from the CRM and show plan against fact in real time. By channel: how many enquiries came from Telegram, how many from the site, how many through Avito. By service: which product groups sell and which sit still. By person: who closes deals and who loses them.

Without analytics the manager learns about a problem when the plan has already been missed. With them you can see the dip at the start of the month: the robot is answering, but conversion into payment has fallen. You look at the conversations and find that a competitor changed their price and clients leave after the quote. Then you change the robot's script or adjust the offer.

In the same GetGate project the analytics count five product groups automatically. The salesperson used to tag them by hand, get it wrong or forget. Now the robot recognises the client's request and fills the group into the record straight away. The manager sees which group brings revenue and which only eats time.

The revenue forecast is built from the pipeline: how many deals sit at each stage, what the average conversion is, what the average cheque is. The system warns you if the plan will not be met at the current pace. That leaves time to correct course instead of waiting for the month's results.

Why the conversations of both robot and people need quality control

The robot answered the client, the salesperson made the call — but what exactly was said? Quality control listens to the calls and reads the correspondence, scoring against a checklist: greeted, established the need, gave the price, agreed the next step. It looks for lost deals: the client was ready to buy and nobody offered to take payment.

Without control it is unclear why some people close deals and others do not. It may be skill, it may be workload, it may be that the robot is passing on cold clients. Control shows exactly where the client is lost: while establishing the need, when the price is named, or when trying to agree a meeting.

The system produces a score for each person: how many checklist points were met, how many deals closed, how long the average cycle is. Not for punishment but for training: you can see who needs help with objections, who with quotes, and who simply needs less on their plate.

The robot is checked too: in a blind comparison the assistant's answer was no worse than a person's in 80% of cases. That means in eight conversations out of ten the client got the information they needed and did not notice they were talking to a robot. The rest are grounds for more training: add a scenario, sharpen the wording, bring a person in sooner.

How the robot hands the client over without losses

The robot has qualified the client and filled in the record in the CRM; it is time to hand over. A plain notification may go unseen or arrive too late. An automatic task gives the person a to-do list but no sense of priority.

The chain works like this: the robot sets the tag “Hot” and assigns a task with a deadline. The analytics show the number of hot records in real time. Quality control checks how quickly the record was picked up and what was said to the client in that first contact.

If nobody has replied within an hour, the system notifies the manager. If the client writes again and still nobody has joined, the robot carries on the conversation and tries to hand over again. Nothing is lost: everything the robot and the client discussed is visible in the record, so the same questions are not asked twice.

What connecting the channels through the CRM gives you

A client may write on Telegram, then on WhatsApp, then phone. If the channels are not linked, nobody sees the history and the conversation starts again. The client gets annoyed, the salesperson wastes time, conversion falls.

All the channels are connected to the CRM: Telegram, WhatsApp, Instagram, Avito, the site, the telephony. The robot receives messages from any channel, recognises the client by phone number or handle, finds the existing record or creates a new one. The salesperson sees one history: what the client asked on Telegram three days ago, what they clarified on WhatsApp yesterday, why they are calling now.

It works the other way round too: the salesperson can reply from the CRM into whichever channel the message came from. No switching between messaging apps, hunting for the conversation or copying text. Everything in one window, the whole history in front of you.

How a sales team is built around the robot and the CRM

The robot and the CRM do not replace the sales team; they change its shape. People stop answering standard questions and qualifying cold clients — the robot does that. They work with the warm ones: holding meetings, preparing quotes, closing deals.

For that you need scripts and procedures: what to do when the robot hands a record over, how to run the conversation, which objections to work through, when to call in a manager. The procedures are written for a specific client process rather than taken from a template. The robot is trained on those same scripts so that person and robot speak the same way.

Quality control shows where someone departed from the script and how that affected the result. You go through the deals: why this one closed and that one did not. You record the reasons for refusal: price, timing, an unclear offer. Then you adjust the robot's scripts and the team's procedures on the basis of real conversations.

Bringing new people on board is simpler: they see examples of successful conversations in the CRM, read the procedures and listen to the best calls. The robot takes the routine, and the new person reaches results sooner.

When the chain pays off and how to tell

The chain of robot, CRM, analytics and control takes time to put in and tune. The timeline depends on how formalised the sales process already is, how many channels need connecting and which integrations are required.

The first results show when the robot starts answering and creating records: people stop spending time on standard questions and enquiries stop getting lost. Then the analytics come in, and it becomes clear where the pipeline sags and how much revenue is stuck at each stage. Quality control shows what the team actually says and where they lose clients.

Payback is counted not for the chain as a whole but for each element separately. The robot pays off when the cost of its work is below the cost of a person's time on standard questions. The CRM pays off when enquiries stop getting lost and reports no longer have to be assembled by hand. The analytics pay off when the manager decides on data rather than instinct. Control pays off when conversion rises after the scripts are adjusted.

Where to start putting the chain together

First we go through the current sales team: how many enquiries come in, from where, how they are handled and where the money is lost. That shows what needs automating first — qualification, booking meetings, quotes or control of the team.

Then we assemble the CRM around the client's process: build the pipeline, connect the channels and the telephony, set up automatic tasks and payment integrations. We train the robot on real conversations: which questions to ask, how to recognise that a client is ready, when to hand over.

The robot starts answering and recording, and the team works under control. We watch plan against fact in the analytics, listen to the conversations in quality control, and refine the scripts and procedures. Then we scale: connect new channels, train the robot on new services, add people.

More about each element of the chain on the pages about the sales robot, CRM implementation, sales analytics, of quality control and building a sales department.