AI implementation for your business, turnkey
We help companies go from "we should do something with AI" to a system that runs every day: from picking the first task to integration and support.
In short
Implementing AI starts not with choosing a neural network but with a process audit: find a task with lots of repetitive work and a clear outcome. Then comes a pilot on one process, integration with your CRM and messengers, team training and measuring the result. A typical first implementation takes 2–6 weeks.
Stages of AI implementation
We split implementation into short stages so you see results at each one instead of waiting six months.
- Audit: we map processes and measure lost time and leads
- Choosing the task with the fastest payback
- Pilot: a first working version with real customers
- Integration with CRM, telephony, messengers and spreadsheets
- Team training and 3 months of support
Common mistakes when implementing AI
Most failed projects fail not because of the technology but because of the approach.
- Starting with a "big platform" instead of one specific task
- Not connecting AI to the CRM — and getting one more place where data gets lost
- Skipping the knowledge base, so the assistant answers with generic phrases
- Not measuring results before and after launch
What companies implement most often
First projects usually involve customers and sales — that is where the effect shows up fastest.
- An AI assistant answering customers 24/7
- A voice agent for bookings and outbound calls
- Automatic reports in Telegram
- An internal AI assistant with a knowledge base for the team
Modules for this task
Consulting and process audit
For small business owners, freelancers and founders: a plan for what to automate first and a cost estimate.
Learn more24/7 AI assistant for customers
Answers in your website chat, Telegram, Instagram, WhatsApp and Viber, qualifies requests and hands the manager ready context.
Learn moreAI assistants for your team
Handles internal requests, answers frequent customer questions and summarizes calls and meetings.
Learn moreCRM integrations and process automation
We connect messengers, website, CRM, 1C/BAS and spreadsheets into one funnel with no manual data transfer.
Learn moreCase studies with real numbers
All case studies
Online English school
A platform and AI lesson reviews for an English school
30 min of teacher time saved by each automatic review
Read the case5 screenshots
Our own sales team
An AI agent that answers and qualifies leads 24/7
24/7 online — nights, weekends and holidays
Read the case4 screenshots
Sales department
An in-house call analysis system where recordings never leave the company
100% of recordings stay on company infrastructure
Read the case2 screenshotsHow implementation works
How implementation works-
01.
Brief and discovery
We break down the process, the problem and the expected result.
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02.
Design
We define modules, integrations, scenarios and architecture.
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03.
Infrastructure setup
We deploy servers, connect services and prepare the AI.
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04.
Development
We build a working system to the agreed spec.
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05.
Testing
We test it on real scenarios from your business.
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06.
Launch
We switch the system into production.
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07.
Support
We monitor stability and refine critical points.
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Learn moreReal Cases of AI Implementation in Small Business
Explore how small businesses use artificial intelligence to enhance efficiency, reduce costs, and improve customer experience through real examples.
Learn moreImplementing AI in CRM Systems: How Artificial Intelligence Transforms Business
Artificial Intelligence (AI) significantly enhances CRM systems, increasing business efficiency and improving customer experience. Learn how AI optimizes processes in CRM and leads to profit growth.
Learn moreQuestions and answers
How long does AI implementation take?
A first working version takes 2–6 weeks depending on the number of integrations. After launch we support and fine-tune the system for 3 months.
Do we need our own IT department?
No. We handle development, integrations and support. From you we need system access and one person who knows the process.
Which neural network do you use?
We pick the model for the task and your data requirements: from cloud models to models deployed on your own server.
How do I know the implementation paid off?
Before starting we record metrics: hours of manual work, response speed, number of leads. After launch we compare the same numbers.
Pay in instalments with monobank
You can pay for the project in up to 24 instalments. We launch the system right away and the payment is spread over time.
Payment terms