How it actually works.

How to set up amoCRM with messaging apps and Avito

Connect the channels through integrators, set the pipelines up by source, and teach the team to work from one shared base.

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

A robot without a CRM loses leads, a CRM without analytics hides the problems, and analytics without control changes nobody's behaviour. How the chain fits together.

How to integrate AI into a company's processes

A step-by-step plan: where to look for bottlenecks, how to pick the first point of entry and how to check the result before a full launch.

What to give to AI and what to leave to people

Start with the front line of sales: answers to repeating questions, qualification and booking customers in. AI frees reps from routine without touching complex deals.

How to implement AI in a company: the order of steps

We look at where to start implementing AI in a business and in what order to move, so as to get a result rather than spend the budget for nothing.

Which sales tasks to automate with AI

First contact, qualification and reminders go to the robot. Price negotiations, objections and unusual cases stay with people.

What a turnkey AI implementation for a sales team includes

Six blocks of work: the sales robot, the CRM, analytics, quality control, procedures and acquisition channels. Each stage in detail.

How to automate sales in messaging apps

Three levels of sales automation in messaging apps, from simple templates to a sales robot wired into the CRM. When each approach works.

A sales plan in CRM rests on deals

Build your sales plan around the pipeline, lead sources and next actions. We look at what data a forecast needs and how to spot deviations.

What is an AI sales manager and how does it work

An AI manager answers customers, qualifies leads and keeps the records in CRM. We look at how it differs from a chatbot and when it pays off.

How to automate sales when you have one salesperson

When a single salesperson needs a CRM, what to hand to a robot and what to keep, and how to work out payback on a small flow of leads.

How to warm up a client who didn't buy right away

A day-by-day rhythm of touches, the signals that you are spamming and ready message texts for B2B sales — without pressure and without promises out of thin air.

What to do if the sales robot made a mistake

Step by step: how to stop the bot mid-conversation, what to tell the customer, where to look in the settings and how not to lose the deal.

What a manager does by hand — and what can be taken away

We break down which operations a sales manager performs by hand every day, and which part of them a sales robot and a CRM take over.

A salesperson frees up time if the robot replies

Using the live GetGate project, we look at how much working time a salesperson frees up when a robot takes on part of the correspondence.

Does a sales robot answer as well as a human

No generalities: at which stages a sales robot copes on its own, where a human is needed, and how to check it.

Every minute without a reply costs you a client

We look at why the speed of the first reply decides the fate of an enquiry, how the channels differ and what happens when you answer later.

What makes up the price of an AI agent for sales

We break down the cost of a sales robot: licence, CRM integration, quality control, building a sales department.

How WhatsApp differs from Telegram for a sales bot

We look at how WhatsApp differs from Telegram for a sales robot: message delivery, voice messages, the link to the CRM and choosing a channel for your niche.

How to find the hot enquiry among the junk

What has to happen automatically in the first minutes after an enquiry so that a hot lead does not drown in the stream of junk ones.

What to connect to amoCRM besides messengers

Telephony, payments, analytics, stock, mailings — which services a sales department should connect to amoCRM and where to start.

Why overdue tasks pile up in the CRM

We look at three causes of overdue tasks in the CRM: technical, process-related and motivational. And show which rules and automations close the problem.

How not to lose enquiries in the evenings and at weekends

An on-duty salesperson, a chatbot or a voice sales robot: how to choose a solution for enquiries that arrive after the office closes.

One sales robot for Telegram, WhatsApp and Avito

We look at what “connecting a sales robot to three channels at once” really means: how the bots differ, the limits of Avito and merging leads in the CRM.

How AI finds blown deals

We look at how AI listens to calls and reads salespeople's chats, looks for the signs of a blown deal and scores them against a checklist.

How an AI agent differs from a chatbot

How an AI sales robot differs from a scripted bot: free text instead of buttons, memory of the conversation, voice messages, and handoff to a manager.

Sales Automation: What to Automate and in What Order

Order matters more than the set of tools. Five maturity levels, the usual mistakes, and the metrics that show a result rather than a feeling.

Neural networks for business: where they make money

A breakdown by task rather than a list of tools: what works in sales, support and documents, where neural networks don't work at all and how they differ from ordinary automation.

How much a chatbot and an AI agent cost

What the price is made of, why the range runs from fifteen thousand to a million, which costs go unmentioned and how to work out payback from your own losses.

What an AI agent is, in plain words

How it differs from a chatbot, what it is made of, what it can do in sales and what it can't. With a four-question check on whether you need one at all.

Reviewing calls from sales managers: what to look for and why

How to review customer conversations so that something actually changes: what to listen for, which scores are meaningless, and why spot-checking fails.

Sales department automation: where to start

What to hand to AI in sales and what to leave to people: first response, sorting enquiries, qualifying leads and follow-ups. Real examples, no promises.