Artificial intelligence for business in Aktobe
We work with companies in Aktobe remotely — nobody has to travel. Everyone talks about AI, which makes it hard to tell what applies to your company next month and what stays a slide. We go task by task: where it already earns money, where it does not yet, and what to start with.
We scope the estimate before the work starts; timelines and warranty go in the contract.
What the work includes
Task first, model second
We count where time is lost, then pick the tool. The reverse order produces a demo at a meeting and nothing else.
A pilot on real data
Three to six weeks with a criterion agreed before the start. Falls short and you see it on a small sum, not after six months.
Works where people are not at a desk
Warehouse, field visits, retail floor. Recognition from a phone camera and voice input where hands are busy.
Documents instead of manual entry
Waybills, invoices and ID cards are recognised and land in the accounting system without retyping.
We say when AI is not needed
Some tasks are solved by ordinary automation more cheaply and more reliably.
Connected to what you run
1C, CRM, messengers. Without access to your data AI answers in generalities.
How we work with companies in Aktobe
Everything runs remotely: the task is reviewed and the work demonstrated over video, correspondence in messengers, contract and closing documents electronic, payment by bank transfer or Kaspi.
The estimate is given before the start, not after the fact: it is visible what has to be done now and what can wait for the next stage.
Timelines and warranty are fixed in the contract. Clients from other cities are served on exactly the same terms as those in Almaty.
What AI closes in practice
Customer conversations: first line in WhatsApp, Telegram, Instagram and on the site. Routine closes without a person, complex goes to a manager with history.
Documents: recognising waybills, invoices and ID cards with data landing in the accounting system.
Warehouse and receiving: label recognition and prompts for the storekeeper straight in a phone app.
Sales: lead qualification, call transcription, analysis of why deals were lost.
Video analytics: queues, shelf layout, safety — using cameras you already have.
Where it does not pay off yet
Tasks with rare data: a model learns from examples, and twenty cases a year is nothing to learn from.
Places where an error is expensive: trivial in a prompt to a manager, not trivial in an automatic decision about money.
Fixing your data: AI will not bring order to a messy catalogue, it will faithfully learn the mess.
Adoption without a specific task ends as a demo and is forgotten within a month.
How we run it
- Discovery. Where time is lost today and what of that AI can close.
- Pilot. One task, your data, a success criterion in numbers.
- Review. We look at the result: expand, refine or stop.
- Adoption. Integration with 1C, CRM and messengers, staff training.
- Support. Retraining on real data and quality control.
Frequently asked
Do you work with companies in Aktobe?
Yes, remotely across Kazakhstan. Discussion and demos over video, documents electronic, no need to travel anywhere.
How much does AI adoption cost?
The first task is from ₸500,000 and takes 3-6 weeks. That is a pilot on your own data with a measurable success criterion.
Which task should we start with?
The one where time is demonstrably lost and the result can be measured — usually customer conversations or manual document entry.
Does our data go to third-party services?
It depends on the solution. Some tasks run on a model on your own server, so the data never leaves your perimeter.
Does this work in a warehouse or in the field?
Yes. Recognition from a phone camera and voice input are exactly for cases where hands are busy and there is no computer nearby.
What if we do not need AI?
That happens, and we say so plainly. Some tasks are solved by ordinary automation more cheaply.