AI implementation in Kazakhstan
We connect AI to customer chats, documents, CRM and 1C in Almaty, Astana and across Kazakhstan. We start AI implementation with one process and a pilot with criteria agreed upfront
WhatsApp · customer
10:41Hi! When will order 4187 arrive? And can I get an invoice for our LLP?
AI
Reads and acts
Language and intent
- English
- order 4187 status
- company invoice
1C · Order status
Order status
CRM · Customer record
Customer record
Access and rules
Reply to the customer
10:41Hi! Your order #4187 is on its way and will reach Astana in two days. Our accountant will contact you today about the invoice.
Bitrix24 · Task for accounting
- Task:
- invoice for Bereke Stroy LLP
- Context:
- chat and company details
We connect your systems
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Quality tested before launch
Criteria agreed before we start
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Kazakh and Russian
Quality measured for each language
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A decision after each stage
Every stage is paid for separately
Which business processes to hand to AI first
Four common scenarios, and the kind of solution that fits each one
Customers and candidates write on WhatsApp and Telegram, managers answer the same questions and fall behind
- Staff dig through policies, PDFs and chats, or just ask their manager because it is faster. Document search: An assistant answers from internal documents with a source link and respects who can see which documents.
- Data from chats, calls and emails is retyped into the CRM or 1C, reports are assembled by hand. AI inside CRM and 1C: AI works inside your systems: parses requests, drafts emails and reports, fills in fields.
- The process lives in spreadsheets and messengers, and managers cannot see statuses, errors or workload. Internal tool: A workspace or panel for one process with AI inside: task queue, statuses, disputed cases, reports.
AI implementation case studies
Facts and numbers from published projects
Scenario transcript
Application
- Under the hood: New application. HR system, Vacancy «Cook», Vacancy: Cook, WhatsApp: +7 747 ••• 19 03. Applied for “Cook”
- Agent: Good afternoon! I’m a recruiter at Magnum. You applied for the cook vacancy. Are you still looking for work?
Interview
- Customer: Yes
- Agent: Thank you! May I ask how old you are?
- Customer: 23
- Under the hood: Vacancy requirements. Age 23: fits. Age fits
- Agent: Where would you like to work? Tell me the district or address.
Nearby stores
- Customer: Alatau district
- Under the hood: Stores with the vacancy. Store map, Alatau district · Cook, Store 1: 1.2 km, Store 2: 2.8 km. Two stores nearby
- Agent: There are two stores nearby with an open cook vacancy: 1.2 km and 2.8 km away. Shall I book you an intro day at the nearest one?
Booking
- Customer: Yes, the nearest one
- Under the hood: Candidate’s answer. English, agrees, nearest store. Agrees to the nearest
- Under the hood: Intro day booking. HR system, Store: 1.2 km, Card: to the recruiter. Booking created
- System: Booking created · the recruiter got the candidate card
AI agent · WhatsApp · MagnumMagnum: HR agent for store hiring
An application in the HR system turns into a WhatsApp conversation. The agent runs the interview, picks the nearest store, explains the terms and books a trial day. The recruiter gets a candidate who is already screened.
- 2–3 nearest stores with an open role offered to each candidate
- 100 questions in Russian and Kazakh in the reference set
- Understands Russian, Kazakh and mixed speech
- Screen recording from the live botDocument search · Magnum
Magnum: Olzhas knowledge base for staff
An employee asks in their own words: how to request leave, who takes the sick note, where to get an employment certificate. The assistant finds the answer in approved documents and shows which document it came from.
- 100 real employee questions in Russian and Kazakh, run against every update
- Understands Russian, Kazakh and a mix of both
- The team uploads and updates documents in an admin panel, no developers needed
Scenario transcript
Request
- Customer: Hello! I’d like to become a supplier
- Under the hood: Site from the QR code. Compass, QR · Compass site, City: Almaty, Site: Compass station. Almaty, Compass station
- Agent: Hello! You’re at a Compass site in Almaty. What is your company called, and what is its BIN?
BIN check
- Customer: Dala Snab LLP, BIN 1809•••••12
- Under the hood: BIN check. Company registry, BIN 1809•••••12, Company: Dala Snab LLP, Status: active. BIN is active
- Agent: BIN verified. What do you supply?
Category
- Customer: Household goods and cleaning supplies
- Under the hood: Supplier category. household goods, cleaning supplies. Household goods
- Agent: Category: household goods. Please send your price list: PDF, Excel or a photo.
Bitrix24 card
- Customer: price_list_2026.xlsx (XLSX · 38 KB)
- Under the hood: Supplier card. Bitrix24, Company details: Dala Snab LLP, Category: household goods, Price list: price_list_2026.xlsx. Card created
- System: Bitrix24 card · company details, category, price list
AI agent · WhatsApp and Bitrix24 · CompassCompass: supplier onboarding into Bitrix24
A supplier scans a QR code at a Compass station and lands in WhatsApp. The agent collects company details, validates the tax ID, picks the category, accepts a price list in any format and creates a card in Bitrix24.
- A QR code at every station, so the agent knows the city and site
- Russian and Kazakh, language detected automatically
- The supplier card goes straight to Bitrix24
Scenario transcript
Question
- Customer: Hello! I’d like to sign up for the marathon
- Under the hood: Race calendar. Knowledge base, races 2026, Almaty Marathon 2026: registration, Astana Half Marathon 2026: registration, Tau Jarys 2026: registration. Three races on the calendar
- Agent: Good afternoon! I’m the Almaty Marathon assistant. Which race would you like to know about? The calendar now has Almaty Marathon 2026, Astana Half Marathon 2026 and Tau Jarys 2026.
Race kit
- Customer: Almaty Marathon. Where do I pick up my race kit?
- Under the hood: Race kit pickup. Knowledge base, Almaty Marathon · race kit, Where: pickup point, How: QR code from the email. Pickup point, QR code
- Agent: Race kits are handed out at the pickup point before the race. Show the QR code from your registration email.
Refund to a manager
- Customer: And if I can’t run, will I get my money back?
- Under the hood: Agent permissions. Refunds: manager. A person decides on refunds
- Under the hood: Handoff to a manager. WhatsApp, To: manager, Summary: race, kit, refund. The manager has the summary
- System: Refund → manager · chat summary attached
- Agent: I’ve passed your question to a manager. They’ll reply right here.
Support · WhatsApp, Instagram · Almaty MarathonAlmaty Marathon: runner support agent
The agent answers participants on rules, schedule, registration and race packs. Refunds, complaints and VIP requests go to a manager with a summary of the chat.
- 9 in 10 conversations resolved without an operator
- ~2,130 conversations with race participants
- WhatsApp and Instagram around the clock
A working version in 2–4 weeks
Five stages. After each one you decide whether to go on. Each stage is paid separately
Pick one process
2–3 working daysWe find where the team loses hours and pick one process with an owner on your side and a result that can be counted.
A short memo: the process, the type of solution, what success means, and what stays out of the first stage.
Process, metric and owner are agreed.
Timelines start once access is granted: without chat exports and a test API the audit cannot start. WhatsApp number verification with Meta takes from a few days to three weeks, so we start it on day one. Projects with several processes or heavy integrations with 1C and custom systems take 3–4 months, but even there a working version ships in the first month.
What AI implementation costs
The cost of implementing artificial intelligence depends on the process and the integrations. These are starting prices, and we name the exact figure after the audit, once we have seen your data and systems
- Timeline: 1–2 weeks
What we build: AI in a CRM or 1C
Price: from ₸700,000What is included: One feature inside the system: request parsing, draft replies, document sorting
- Timeline: 2–4 weeks
What we build: AI agent
Price: from ₸1,000,000What is included: A scenario, answers from your materials, handoff to a manager
- Timeline: 3–5 weeks
What we build: Document search
Price: from ₸1,500,000What is included: An assistant over your policies and knowledge base, answers with a source link, role-based access, a test set
- Timeline: 3–6 weeks
What we build: Internal tool
Price: from ₸2,000,000What is included: A staff workspace with AI features: summaries, document checks, reports
Model usage (OpenAI, Anthropic and others) and the WhatsApp API are billed separately at the providers’ rates.
Get an estimate for your case
Send the task for an estimateAI quality testing before launch
We agree the threshold before we start and test it on your questions, Kazakh and mixed ones included
- A set built from your questions
- 100–200 real requests with reference answers from your staff. Kazakh and mixed-language questions are always included.
- A different model grades
- A separate judge model, not the one that answered, scores the answers. We check its scores against your staff’s own grades.
- Every miss gets reviewed
- An overall score can hide individual errors, so every answer below the threshold is reviewed on its own and fixed before launch.
- Acceptance on new questions
- We sign off on questions the system never saw during tuning, so the result can’t be fitted to familiar ones.
- RU Где мой заказ 4187? 0.93
- KZ Тапсырысым қашан келеді? 0.86
- RU Можно счёт на ТОО? correctly handed to accounting 0.90
- KZ Тауарды қалай қайтарамын? judge: right answer, but in Russian 0.72
- KZ+RU Сәлем, доставка Астанаға қанша тұрады? 0.88
- RU Позовите менеджера handed to a person right away 0.97
- KZ Жеңілдік бар ма? judge: promised a discount outside the rules 0.64
- RU Как поменять адрес доставки? 0.84
- KZ+RU Заказты отменить етуге бола ма? 0.81
- KZ Кепілдік мерзімі қанша? 0.85
Illustration of the mechanics with sample data. The real set is built from your requests during the audit.
What AI implementation in Kazakhstan has to handle
We check all of this during the audit, before building
Kazakh, Russian and mixed speech
AI replies in the language of the last message. Quality is measured per language, and company terms live in a glossary and are never translated.
4187 заказ қашан келеді?
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WhatsApp
We only use the official Business API.
Business API · templates · Meta
CRM: amoCRM, Bitrix24 and others
AI creates the card and the deal and marks them as its own. Managers see at once which records were made automatically.
Deal · created by agent
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1C
AI can read data right away and writes only through a confirmed route. The integration needs a test copy of the database and a few hours of your 1C developer’s time.
stock · prices · pay slips
Payments through Kaspi
We support all three Kaspi payment methods: an invoice to the customer’s phone number, Kaspi QR, and a payment link. Once the customer pays, the agent moves the order to the next stage in the CRM on its own. Refunds and disputed payments stay with a person.
invoice · Kaspi QR · payment link
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Access rights and personal data
The model never queries databases directly: it calls your functions from an allow-list. A document an employee cannot open never even reaches search. National IDs and salaries are masked before anything goes to the model.
role · department · branch
Handoff to a person
Money, complaints, legal questions, a request for a human, the third repeat of one question, or a low-confidence answer. While a person is in the chat, AI stays silent.
to a manager · context attached
Guides for your industry
Each guide covers what to hand to AI first, what stays with people and how to run the pilot
Common questions
With the process. In the first meeting we look at where the team loses time: customer chats, searching through policies, retyping data, or the lack of a shared picture. That decides the type of solution. If there are several processes, we pick one with a clear owner and a result that can be counted.
AI in a CRM or 1C starts at ₸700,000, an AI agent at ₸1,000,000, document search at ₸1,500,000, an internal tool at ₸2,000,000. A full launch with an audit, testing in two languages and integrations usually costs ₸4–6M, several tasks on a shared knowledge base ₸10–15M. The exact figure comes after the audit.
Support costs ₸100,000–500,000 a month: every month we run the test set, update the knowledge base and review disputed answers. Model and WhatsApp API usage is billed separately at the providers’ rates, to your company. You can skip support: the code and access are yours, but your team then owns quality monitoring.
AI in a CRM or 1C takes 1–2 weeks, an AI agent 2–4, document search 3–5, an internal tool 3–6 weeks. The full path with process selection, an audit and a pilot gets you a working version in 2–4 weeks after access is granted. Projects with several processes and heavy integrations take 3–4 months.
A process owner who makes decisions, 30–100 real requests, conversations, or documents, a list of systems with access to their test APIs, handoff rules, and examples of good team answers. The knowledge base does not have to be perfect: we build the test set together.
Yes, if there is one repetitive process worth automating: answering customers in WhatsApp, bookings, taking requests. A small business usually needs AI in the CRM from ₸700,000 or an AI agent from ₸1,000,000. We start with a narrow scenario and expand it once it pays off.
ChatGPT and similar tools help an individual employee write and search. Implementation connects a model to a company process: customer chats, the CRM, 1C and documents, with access rights respected. The system answers by your rules, writes results into your systems and hands difficult cases to a person. Quality is checked with a test set before launch and after every change.
Yes, and we test it on your data: Kazakh and mixed questions are always in the test set, and every answer below the threshold is reviewed on its own. If a Kazakh scenario misses the threshold, the AI collects the details and hands the conversation to a person until the error is fixed.
The data stays in your environment or in an isolated one set up for your project, and the storage and access terms go into the contract. The model only receives what an answer needs; national IDs and salaries are masked before anything goes to the model. Under the OpenAI and Anthropic API terms, requests are not used for training by default. Kazakhstan’s personal data law requires databases with personal data to be stored in the country. The Law on Artificial Intelligence has also been in force since 18 January 2026. During the audit we check the scenario against both laws and decide which data may go to a cloud model.
No. We connect to the systems you already run: 1C, amoCRM, Bitrix24, email, WhatsApp. The AI reads data through the API and writes only through a confirmed route. For 1C we need a test copy of the database and a few hours of your developer’s time.
We agree on the success criterion before the start. Usually it is the share of requests handled without an operator, accuracy per language and response time. After the pilot there are three options: launch, rework or stop. Each stage is paid separately, and the next one only if you continue. When the AI is unsure, a person decides the disputed case.
The code, the knowledge base, the test set with reference answers, and documentation. Model keys and accounts are in your company’s name, so the system can keep evolving with us or without us.
Yes: a contract, ESF and AVR, payment in tenge. We also work through public procurement.
Read before the call
- How much AI implementation costs in Kazakhstan How a prototype differs from a production system and where post-launch costs hide
- AI pilot in 30 days A day-by-day plan and the three decisions a pilot ends with
- What to prepare before implementing AI A company checklist and the minimum package for a vendor
- AI development in Kazakhstan Why demos break on Kazakh and mixed speech, and how to build a language base
Let’s talk
Describe the process you want AI to take over and the systems where the data lives. Attach a few real chats or documents if you have them. We will tell you which type of solution fits and which stage makes sense to start with.
I read every request myself.