AI implementation for businesses in Turkey
WhatsApp AI agents and AI next to Logo, Paraşüt and your CRM for companies across Turkey. Prices start from $1,400, with a working pilot 2–4 weeks after 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
Turkish or English, intent
- 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 · Order and task in the CRM
- 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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Turkish checked by a native speaker
Every language has its threshold
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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.
- Staff retype chat orders into Logo or Paraşüt and check e-Fatura invoices against orders by hand. AI inside Logo Tiger and Paraşüt: AI works next to your ERP: answers stock and price questions, codes expenses, matches incoming e-Fatura with orders and drafts entries for accounting to approve.
- 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 chats, with a native speaker grading tone in Turkish
- A set built from your chats
- 100–200 real requests with reference answers from your staff. Turkish is the core of the set, with English and Russian added when your customers write in them.
- 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.
- TR Siparişim ne zaman gelir? 0.90
- TR Faturamı gönderebilir misiniz? correctly handed to accounting 0.88
- EN Do you ship to Izmir? 0.91
- TR Ürünü nasıl iade ederim? judge: right answer, but in English 0.73
- TR Kapıda ödeme var mı? 0.84
- EN Can I speak to a manager? handed to a person right away 0.97
- TR İndirim yapar mısınız? judge: promised a discount outside the rules 0.61
- TR Ödeme linki gelmedi 0.82
- RU Можно счёт в долларах? 0.86
- TR Garanti süresi ne kadar? 0.87
Illustration of the mechanics with sample data. The real set is built from your requests during the audit.
What AI implementation in Turkey has to handle
We check all of this during the audit, before building. Companies outside Turkey can start from our general AI implementation page
Turkish, checked by a native speaker
Models handle Turkish well, but tone and polite forms are where a reply sounds off. Our team does not speak Turkish, so a native speaker on your side grades the test set and the pilot answers. English and Russian cover foreign customers.
4187 numaralı siparişim ne zaman gelir?
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WhatsApp Business API
90% of internet users in Turkey use WhatsApp, and businesses answer customers there and in Instagram DMs. We work only through the official WhatsApp Business API.
Business API · Instagram DM · templates
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Logo, Netsis, Mikro, Paraşüt
We connect through the API where there is one, as with Paraşüt and Mikro, and through exports for Logo and Netsis. AI reads first and writes only through a route you confirm.
Logo Tiger · Netsis · Mikro · Paraşüt
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e-Fatura and e-Arşiv
The documents are already structured, so AI does the manual part: matches incoming invoices with orders and dispatch notes and answers “where is my invoice” in the chat. Issuing stays in your e-invoicing system.
e-Fatura · e-Arşiv · e-İrsaliye
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Payments through iyzico and PayTR
The agent sends an iyzico or PayTR payment link in WhatsApp and moves the order on in the CRM once the money arrives. We confirm the API for your account during the audit. Refunds and disputes stay with a person.
payment link · status check
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KVKK and data transfers
Data going to the US or Kazakhstan needs the Turkish standard contract, signed without edits, and a notice to KVKK within 5 business days. We sign the controller-to-processor module with you and help prepare the notice. Names, phone numbers and TCKN are masked before anything reaches the model.
standard contract · notice in 5 business days · masking
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Contract and tax from Kazakhstan
A contract in US dollars, which hold their value better than lira prices. Under the Turkey–Kazakhstan tax treaty the 20% withholding tax does not apply once you hold our tax residence certificate. You account for 20% KDV under the reverse charge.
20% withholding · residence certificate · 20% KDV
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 next to your ERP or CRM 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, Turkish testing and integrations usually costs $8–12K, several tasks on a shared knowledge base $20–30K. We price in US dollars: with annual inflation near 30%, a lira quote would change before the project ends. 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 usage and the WhatsApp Business API are billed to your company at the providers’ rates. You can skip support: the code and access are yours, and your team then watches quality.
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.
Our team works in English and Russian; the agent speaks Turkish. Current models handle Turkish well, but we cannot judge tone and polite forms ourselves, so a native speaker on your side approves the reference answers and grades the pilot. Each language gets its own threshold, and an answer that misses it goes to a person.
OpenAI, Anthropic and Google all serve Turkey officially. Since June 2024 transfers abroad need the KVKK standard contract, signed without edits and notified to KVKK within 5 business days. With us that is the controller-to-processor module. Whether OpenAI and Anthropic sign the Turkish text is not settled, so by default we mask names, phone numbers and TCKN before anything reaches the model and keep the database and logs in Turkey. Sensitive data such as health records can stay on an open model on your server. A Turkish lawyer confirms the final setup.
Yes. Paraşüt and Mikro have open APIs; Logo and Netsis we usually reach through exports or your integrator. AI starts by reading: stock, prices, customer balances, incoming e-Fatura. It writes only through a route you confirm, such as a draft entry that accounting approves.
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.
By bank transfer in US dollars against a contract and invoice. Turkey withholds 20% on services from non-residents, but the Turkey–Kazakhstan tax treaty, applied since 1997, removes it once you hold our tax residence certificate, renewed every year. The contract is for development services, not a software licence, so the payment does not count as a royalty. You account for 20% KDV under the reverse charge and usually deduct it.
Read before the call
- How AI answers WhatsApp customers What the agent closes on its own, how it filters spam and when it calls a person
- AI integration in a CRM Which fields AI fills, what it reads, and where a person still confirms
- 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
Let’s talk
Tell us which process you want AI to take over, which systems hold the data (Logo, Paraşüt, your CRM) and where customers write to you. Attach a few real WhatsApp chats if you have them. We will tell you which solution fits and where to start.
I read every request myself.