AI automation for business

Implementing AI in business processes means handing one specific repetitive operation to software that understands text and documents: replying to customers, sorting enquiries, pulling data out of invoices. The first process costs from $600 and takes from 2 weeks.

What matters is what it is not: a subscription to a neural network, or a «chat widget on the website».

The difference matters. Ordinary automation follows a rigid script: if the word «price» appears — send the price list. AI understands the meaning of a question even when the customer phrased it badly, with typos and in mixed languages. That is why it closes the requests where a regular bot breaks and calls a human.

We never start with a big «AI everywhere» project. We take one process where lost time is visible in numbers and launch that first. Once it pays for itself, we expand to neighbouring areas.

The most common request in Kazakhstan is a chatbot that answers customers on WhatsApp. People write to messengers rather than call or fill in forms, and half of the requests arrive in the evening and at weekends when managers are offline.

An AI agent connects to WhatsApp Business, Telegram or a widget on your site and answers from your knowledge base: price list, delivery terms, policies, catalog. It does not invent answers — it replies only from the loaded materials, and anything beyond them is handed to a human together with the full conversation context.

What an AI agent can do

• Answer typical questions about price, timing, availability and terms
• Qualify a request: understand what the customer needs and record it
• Book an appointment or consultation, checking free slots
• Work around the clock and in several languages at once
• Escalate complex and high-value questions instead of losing them

A separate and important part is safe delivery through the official WhatsApp Business API, so the company number does not get banned for bulk messaging.

Automating enquiry handling means collecting requests from every channel in one place and creating the deal in your CRM automatically. An enquiry from email, a messenger or the website reaches the manager in the same shape and does not get lost.

The second most common scenario is requests lost between channels. Some arrive by email, some in direct messages, some in a messenger, and a manager moves them into the CRM by hand, losing half along the way.

AI reads the incoming email or message, extracts the name, phone, the essence of the request, budget and deadline, and creates a CRM record with the fields already filled in. Duplicates get merged, spam filtered, urgent ones flagged.

We integrate with amoCRM, Bitrix24, Google Sheets, 1C and any system with an API. If there is no API, we discuss workarounds — and are honest about the limitations.

Document recognition means extracting data from PDFs, scans and photographs into a structured form: invoice number, date, amount, counterparty, line items. It applies wherever staff retype paperwork into spreadsheets by hand.

AI saves the most where staff retype invoices, delivery notes and contracts into spreadsheets by hand. It reads a PDF, a scan or a photo and pulls out the fields you need: number, date, counterparty, totals, line items, bank details.

The data then goes where it is needed: into 1C, Google Sheets or your accounting system. A person only reviews the doubtful cases instead of typing every line.

It works with poor scans, handwritten notes and unusual formats — which is where AI beats older recognition systems that require a strict template.

The first turnkey process starts from $1,500. That covers analysing the task, preparing the knowledge base, setting up scenarios, integrations and testing on real requests.

The exact figure depends on three things: how many systems need connecting, what shape your data is in, and how complex the scenarios are. We quote after a short conversation — usually within a day.

The easiest way to start is a free review: we look at where most of your time goes and pick one process with a measurable effect. Most often that is customer replies in messengers or manual data transfer between systems.