AI implementation for business
We connect AI to customer chats, documents, your CRM and 1C. Prices start at $1,400, and the pilot is up and running 2–4 weeks after we get access
WhatsApp · customer
11:20Hi! We need 12 Ergo Pro chairs for our new office by the end of the month. Can you make it? Any discount for the volume?
AI
Reads and acts
What the customer needs
- 12 × Ergo Pro
- due: end of month
- discount question
ERP · Stock and delivery
Stock and delivery
CRM · Customer record
Customer record
Access and rules
Reply to the customer
11:20Hi! Ergo Pro is in stock, and we can deliver 12 chairs in 3 business days. A manager approves volume discounts: Oliver will message you today by 5 pm.
Bitrix24 · Deal and task for a manager
- Deal:
- 12 × Ergo Pro, by month end
- Task:
- approve the discount
We connect your systems
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Quality tested before launch
Criteria agreed before we start
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Your customers’ languages
Quality measured for each one
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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. Applied for “Cook”
- Agent: Good afternoon, Daniyar! I’m a recruiter at Magnum. You applied for the cook vacancy. Are you still looking for work?
Interview
- Customer: Yes, I am
- Agent: Thank you! May I ask how old you are?
- Customer: 23
- Under the hood: Screening rules. Candidate’s answers: meet them. Meets the screening rules
- Agent: Tell me an address or district where you’d like to work, and I’ll find a store nearby.
Nearby stores
- Customer: Saina Shalyapin
- Under the hood: Stores with the vacancy. Yandex Geocoder, Almaty, Saina × Shalyapin, Priority: 0.7 km, Nearest: 1.8 km, Nearest: 3.4 km. Priority store first
- Agent: There is an open cook vacancy near the Saina and Shalyapin intersection: 1. Store, 0.7 km 2. Store, 1.8 km 3. Store, 3.4 km Which one suits you?
Trial shift
- Customer: The first one. I can come tomorrow
- Under the hood: Candidate’s answer. store 1, tomorrow. Store 1, tomorrow
- Under the hood: Trial shift booking. HR system, Status: Trial shift, When: tomorrow morning, Changed by: AI Bot. Status “Trial shift”
- Agent: You’re booked for a trial shift tomorrow morning. Please come to the store’s main entrance. Bring your ID; an electronic one from eGov or Kaspi is fine. Dress code: dark trousers or skirt, a plain top, closed shoes.
- System: Status written to Magnum’s HR system · after the shift the agent asks how the day went
AI agent · WhatsApp · MagnumMagnum: HR agent for store hiring
An application in Magnum’s internal HR system turns into a WhatsApp conversation. The agent runs the first screening interview, finds a store near the candidate’s address and books a trial shift. The status goes back to the HR system, so the recruiter sees the result.
- Offers priority stores first, then others nearby, each with the distance
- Sep 2026 the agent went live with Magnum’s store candidates, in Russian and Kazakh
- 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.
- 150+ checks built from real employee questions in Russian and Kazakh, run against every update
- Understands Russian, Kazakh and a mix of both
- Magnum’s new documents go live after the eval set has been run
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 $1,400What is included: One feature inside the system: request parsing, draft replies, document sorting
- Timeline: 2–4 weeks
What we build: AI agent
Price: from $2,000What is included: A scenario, answers from your materials, handoff to a manager
- Timeline: 3–5 weeks
What we build: Document search
Price: from $3,000What 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 $4,000What 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 own questions, language by language
- A set built from your questions
- 100–200 real requests with reference answers from your staff, covering every language your customers write in, mixed-language messages 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.
We work with companies in many countries
We work remotely from Kazakhstan. Where a country has its own languages, accounting systems and data laws, it gets a page of its own
- Kazakhstan Prices in tenge, ESF and AVR paperwork, Kaspi payments, Kazakh and mixed-language speech, Kazakhstan’s personal data law
- Romania Prices in euros, WhatsApp agents in Romanian, e-Factura and SPV, SAF-T checks, SmartBill and Saga, GDPR and the AI Act, no 16% withholding with our residence certificate
- Turkey Prices in US dollars, WhatsApp agents in Turkish, Logo, Netsis and Paraşüt, e-Fatura, iyzico and PayTR, the KVKK standard contract, no 20% withholding with our residence certificate
- Israel Hebrew, English and Russian in one agent, WhatsApp and Shabbat, monday and Fireberry, invoice allocation numbers, Amendment 13
Guides for your industry
Each guide covers what to hand to AI first, what stays with people and how to run the pilot
Frequently asked 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 $1,400, an AI agent at $2,000, document search at $3,000, an internal tool at $4,000. A full launch with an audit, quality testing and integrations usually costs $8–12K, several tasks on a shared knowledge base $20–30K. The exact figure comes after the audit.
Support costs $200–1,000 a month: every month we run the test set, update the knowledge base and review disputed answers. Model and messaging API usage is billed separately at the providers’ rates, to your company. You can skip support: the code and access stay 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 messengers, bookings, taking requests. A small business usually needs AI in the CRM from $1,400 or an AI agent from $2,000. 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.
The ones your customers write in. Models handle English and Russian well, and Uzbek, Azerbaijani, Georgian or Armenian noticeably worse, so we only promise quality after testing on your own conversations. The test set covers every language plus mixed-language messages, and the threshold is measured for each language separately.
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, and personal data is masked before anything is sent. Under the OpenAI and Anthropic API terms, requests are not used for training by default. During the audit we check the scenario against your country’s personal data law and decide what may go to a cloud model and what stays with you.
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, remotely. The contract is signed with our company registered in Kazakhstan, and the prices on this page are in US dollars. The invoice currency and payment terms are set in the contract.
Read before the call
- AI pilot in 30 days A day-by-day plan and the three decisions a pilot ends with
- AI business process automation Where workflow rules are enough, where AI earns its place, and how to do the ROI math
- What to prepare before implementing AI A company checklist and the minimum package for a vendor
- How to choose an AI implementation vendor What to ask before signing, and which answers show a demo will never make it to production
Let’s talk
Tell us which process you want AI to take over, where your company operates and where the data lives. Attach a couple of real chats or documents if you have them. We will tell you which solution fits and where it makes sense to start.
I read every request myself.