Document processing
Invoices, contracts, applications and ID documents read, checked and entered into your systems as structured data.
AI · AUTOMATION · INTEGRATIONS
AI and automation for business in Uzbekistan
Practical AI that takes repetitive work off your team: documents read and filed automatically, customer requests sorted and answered, reports produced on schedule — with logs and human review wherever a mistake would cost money.
AI automation concept: a document workflow connecting receipt, AI extraction, human approval, and CRM sync, with an execution log.
EXAMPLE INTERFACEDOCUMENT PROCESSING · REPORTING · INTEGRATIONS
- Models
- Claude, OpenAI and open models, chosen per task
- Languages
- Works in Russian, Uzbek, English and Portuguese
- Controls
- Human review, logs and evaluation before launch
- Integrations
- CRM, 1C, Telegram, email, spreadsheets, APIs
OVERVIEW
Most of the time your team loses is not on hard decisions but on retyping invoices, answering the same questions, moving data between systems and assembling reports. Modern language models handle this work reliably when they are wired into your processes with the right checks, and that wiring is what we build.
We work with Claude, OpenAI and open models, in Russian, Uzbek and English, and connect them to your CRM, 1C, Telegram, email and databases. Every automation starts with a measured pilot, so you know its accuracy and cost before it goes live.
WHAT WE BUILD
Customer request handling
Telegram, email and web enquiries classified, answered from your own knowledge base, and escalated to a person when needed.
Internal assistants
An assistant that answers your team's questions from your documents, procedures and data, with sources shown.
Reporting automation
Reports assembled from your systems on schedule, with commentary a manager can read in a minute.
Workflow integrations
Data moving between CRM, 1C, spreadsheets and partner APIs without anyone copying it by hand.
Evaluation and guardrails
Accuracy measured on your real data, limits on what the system may do alone, and a review step where it matters.
WHO IT’S FOR
Accounting and back office
Incoming invoices and documents processed and matched automatically.
Customer support
First-line answers in Russian and Uzbek, around the clock, with hand-off to your team.
Sales
Leads qualified and enriched, follow-ups drafted, CRM kept up to date.
Logistics
Orders, waybills and status updates extracted from messages and documents.
HR and recruiting
CVs screened against your criteria and interviews scheduled.
Management
Weekly reports and alerts assembled from operational data.
HOW WE WORK
Discovery and scope
We map your business, your users, and the constraints around them, then agree exactly what the first release contains.
Architecture and design
The data model, integrations, and interface decisions are made and written down before the build starts, so nothing is improvised later.
Build in the open
Focused development in short cycles, with working demos, code review, and tests as we go. You always see the current state.
Launch and handover
Tested, documented, and deployed. The code, the accounts, and the knowledge move to your team, with support scoped to what you need.
ENGINEERING FLOW
Four layers, one path. Every product we build follows it — what changes between services is the technology at each stop, not the shape.
What people actually use
Next.js / ReactThe screens your customers and your team work in. Rendered on the server so the first view arrives fast, and typed end to end so a change in the data cannot quietly break a page.
- Server-rendered pages and one shared component library
- Accessible markup, keyboard paths, and responsive layouts
- Loading, empty, and error states designed, not left to chance
AROUND ALL FOUR
TESTS
Automated tests run on every change, before it can reach your product.
CI / CD
One pipeline builds, checks, and deploys — the same way every time.
OBSERVABILITY
Logs, metrics, and alerts, so we see problems before your users report them.
TYPICALLY BUILT WITH
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FAQ
Have another question?
Frequently asked questions
01Which AI models do you use?
Claude, OpenAI models and open-source models, chosen per task by accuracy, cost and where the data may go. Smaller models run the simple, high-volume steps; larger ones handle judgement.
02What about our data and confidentiality?
Data stays within the providers and regions you approve, under an NDA and a written agreement. Where data must not leave the country, open models can run on your own infrastructure.
03Does it work in Russian and Uzbek?
Yes. Current models handle Russian well and Uzbek increasingly well; we test on your real documents and messages before committing to accuracy targets.
04What happens when the AI makes a mistake?
The system is designed for it: confidence thresholds, a human review step for anything uncertain or high-value, and a log of every action, so mistakes are visible and reversible.
05How much does AI automation cost?
A pilot on one process is a small, fixed-scope project measured against agreed accuracy. Running costs are model usage plus hosting, which we estimate up front and keep visible in a dashboard.
06Do we need our own data or a large IT team?
No. We start from the documents, messages and systems you already have, and the automation runs as a service your team monitors rather than software they must maintain.
NEXT STEP
Tell us which repetitive process to automate first.
We will assess it, propose a pilot with measurable accuracy targets, and send a fixed-price scope.
NDA and a written contract before we start