Service · AI · Europe

AI Integration

AI tools for business across Europe — inside your website, bot, or cabinet, to speed up your team's work.

Price on request

AI integration for your business

What it is

AI integration means embedding artificial intelligence models into your business workflows: a website, Telegram bot, client cabinet, or internal dashboards. The goal is to automate repetitive operations, speed up information processing, and reduce the team's workload wherever it delivers a measurable effect.

In practice, these are automation and analytics scenarios: replying to common client questions, parsing documents and forms, classifying requests and leads, summarizing conversations, and drafting proposals and reports. AI works with large volumes of data — text, requests, files, inquiry history — and turns them into a structured result for a manager or a system.

It's also possible to offload part of the routine work from staff onto a bot or assistant: initial communication, routing inquiries, and collecting data before handing off to a human. Oversight and escalation to the team remain in place — AI covers the volume of work, not the responsibility entirely. It can be connected to existing products or designed together with a new module.

What's possible

AI automation is tailored to your business processes: making them simpler and more transparent. Together, we identify areas that can be strengthened with artificial intelligence and built into your company's workflow. Every business is different — below are examples of possible setups; the final solution will be built specifically for your business.

  • Smart messaging and notification system

    Automating emails, messages, and alerts based on multiple parameters: who to send to, what to send, when, and through which channel. A bot or service handles communication according to your business rules.

  • Lead qualification and analytics

    More than simple sorting of requests: filtering for the right leads, grouping by parameters, scoring priority, and instant analytics on incoming traffic for sales.

  • AI first-line dispatcher

    A system that handles incoming inquiries, answers common questions, collects data, and forwards to a manager only what actually requires a human.

  • Document processing pipeline

    Batch processing of contracts, requests, invoices, and forms: extracting fields, checking completeness, and saving the result into a CRM or cabinet.

  • Sales assistant

    Drafting proposals, follow-up emails, and deal records based on client data, communication history, and your messaging templates.

  • Communication quality monitoring

    Summarizing conversations, flagging risks, and monitoring communication standards in support and sales — with clear reports for management.

  • AI-powered corporate knowledge base

    A single answer system for the team and clients based on policies, FAQs, and internal documents — without manually searching through files.

  • Client and employee onboarding

    An automated onboarding flow: steps, materials, comprehension checks, and reminders until the person is fully up and running.

  • Operational analytics for management

    Regular summaries of the funnel, team workload, inquiries, and bottlenecks — without manually compiling reports.

  • Unified AI layer for incoming channels

    Collecting requests from your website, forms, email, and Telegram into a single stream with automatic processing, routing, and handoff.

How pricing works

The price is discussed individually and is built up from the work stages for your task. The biggest factor is the set of business processes that need to be automated:

  • Analyzing the task: which processes to automate and what result the business needs.
  • Documentation and prototypes before development.
  • Developing the AI layer's functionality.
  • Integration into your systems: website, bot, cabinet, CRM, and other setups.
  • Help with renting a server for the bot and data processing.

Payment and timeline

Price and timeline are agreed during project discussion — based on the scope of automation and integration. A deposit may apply for new clients before starting; no deposit is needed for returning clients.

Development process

  1. Understanding the task

    2–5 days

    We break down the business process that needs automating: goals, data, constraints, and the expected result.

  2. Plan and prototypes

    1–2 weeks

    We prepare documentation, scenarios, and prototypes — to agree on the logic and scope of work in advance.

  3. Building the service

    2–4 weeks

    We build a working AI layer for your task: models, rules, interfaces, and data processing.

  4. Integration

    1–3 weeks

    We integrate the solution into your processes: website, bot, cabinet, access, and data exchange.

  5. Optimization

    ongoing

    We fine-tune response quality, speed, and cost based on real-world usage.

Need AI integration?

Tell me which process you want to speed up — we'll discuss the task, approach, and a realistic budget.