We connect CRM, WhatsApp, Telegram, and incoming requests into one clear workflow. We show where customers get stuck, who responds late, and which reports leadership needs every day.
Not abstract growth problems, but everyday breakdowns that quietly eat requests, time, and profit.
Requests are scattered across chats, forms, and calls
Every request enters one queue
It is unclear who should reply and when
Each request has an owner and a next step
Contact, source, and status are copied by hand
The data is saved in CRM automatically
Leadership sees the result too late
The dashboard shows where a request stopped and what led to payment
Most SMBs do not need a huge IT project. They need one clear workflow where requests, time, or money stop leaking first.
The first review happens in Telegram: we find where requests, time, and money leak—in messengers, spreadsheets, and manual work.
We do not try to rebuild the whole business at once. We pick one process where removing chaos, reducing errors, or speeding up customer work will pay back the fastest.
We connect gradually while managers keep working as usual. Scope, timing, and outcome are agreed before the pilot starts.
After launch, we watch where requests, time, or money still leak and strengthen what already works.
Requests, sales, payments, and analytics are connected into one chain. Nothing gets lost, and the team can see what happens at each step.
Interface example — data is fictional
Interface example — data is fictional
We show which ads and channels bring requests, payments, and sales. Data is collected automatically, without Excel or manual exports.
Examples of how customer requests, sales, payments, and analytics can be connected.
Requests keep context, CRM data is recorded, and each lead is tied to its source.
Managers moved requests from WhatsApp, Instagram, and the website form into CRM. Some conversations disappeared.
The request is collected automatically, keeps the source, and reaches the manager with customer history.
First questions happen before the manager, and high-intent customers enter the workflow with their context collected.
Managers called everyone and manually clarified budget, timing, and need.
AI gathers context and shows the manager who needs attention now.
Payments diverged from orders under load. We rebuilt the workflow so operations are recorded, reconciled, and restored automatically.
After peak sales, the team reconciled payments, orders, and statuses by hand.
Every payment is tied to an order immediately, and failed scenarios go into recovery.
We first review one workflow, the current channels, and required integrations. Before work starts, the proposal fixes the scope, timing, and price.
The most common fears before implementation: expensive, slow, disruptive. Here is the direct version.
Yes, if requests come from several channels, data is moved by hand, or you cannot see where money leaks. We start with one workflow, not a huge platform.
The first review happens in Telegram. A pilot needs access and one responsible person, while the team keeps using familiar tools.
The request does not disappear. The error is recorded, the team gets a signal, and the work moves to retry or manual handling.
No. First we connect to what already exists and remove gaps between channels, CRM, payments, and reporting.
We start with a real workflow, not a standalone tool: preserve customer history, connect the work to CRM and payments, and agree monitoring and a fallback for failures in advance.
Pricing is individual: it depends on the agreed scope, channels, current systems, and required integrations. Before work starts, the proposal fixes the scope, timing, and price.
No obligation, no sales call, no six-month project. First we quickly look at where requests, time, or money leak.
Answer a few questions in Telegram. We'll review your situation and show where to start.