End-to-End Automation & AI Agents for Your Business

Infrastructure • Pain-Point Analysis • Design • Implementation

About Me

Artem Chikanov - SmartAgent.ai CEO

Education

State Technical University, Design Engineer

Position & Public Activity

Chairman of the Board for Blockchain Solutions and AI-based Automation Systems Development at ANO "Blockchain"

I'm an experienced executive with over 15 years of leadership experience in government enterprises. Since 2020, I've been actively studying and implementing blockchain and cryptocurrency technologies, and since 2024, I've been designing and implementing comprehensive AI solutions and business agents for key process automation. Received a development grant from the Mantle project.

Key Achievements

Creation of intelligent agents based on machine learning that increase sales efficiency and customer service

Organization of analytical communities and partnership programs for expertise exchange in Web3 and AI

Design and deployment of secure infrastructure with 99.99% availability and 256-bit encryption

Zero data breaches track record with optimized LLM models and full system autonomy

Specialization

AI-agents and business process automation

Design and implement intelligent agents based on machine learning and LLM that automate customer service, sales, HR processes and other internal workflows.

Corporate portals and API development

Creating secure web and mobile interfaces, REST/GraphQL integrations, building microservice architecture and CI/CD.

Cloud infrastructure and DevOps

Design and support cloud solutions (AWS, Azure, GCP), containerization (Docker, Kubernetes), deployment automation and monitoring.

Custom CRM/ERP solutions with AI module

Implementation and customization of customer relationship management and enterprise resource management systems with integrated AI modules for intelligent segmentation and forecasting.

Consulting

Conducting training sessions on blockchain, AI and DevOps; developing corporate solutions; technical audit and strategic sessions on digital transformation.

Technical Leadership

Leading development teams, architectural design, technology strategy planning and implementation of complex digital transformation projects.

Services

Complete automation solutions for your business

Business Analysis & Automation Strategy

Process audit and digital transformation strategy development

  • Current process evaluation
  • ROI calculation
  • Implementation roadmap

Infrastructure & DevOps

n8n, Supabase, CI/CD pipelines for robust automation and cloud deployment

  • Cloud architecture design
  • Automated deployment
  • Monitoring & scaling

AI Agents Implementation

Smart AI agents for customer service, sales automation, and business operations

  • Telegram/Discord bots
  • AI customer support
  • Sales automation

Content Factory Automation

Development and implementation of automated content generation systems: posts, videos, articles

  • AI content generation
  • Social media automation
  • Video processing

Digital Product Development

End-to-end website and application development: from design to launch

  • Web development
  • Mobile applications
  • UX/UI design

Team Training

Training your team in system management and scaling

  • AI tools training
  • DevOps practices
  • System maintenance

Support & Scaling

Ongoing maintenance, optimization, and system scaling as your business grows

  • 24/7 monitoring
  • Performance optimization
  • Scalability planning

Process

From idea to implementation in 5 steps

1

Diagnosis

We analyze your current processes and identify automation opportunities

2

Design

Create detailed automation architecture and workflow designs

3

Build

Implement the automation using cutting-edge tools and technologies

4

Test & Launch

Thorough testing and smooth launch with monitoring systems

5

Support

Ongoing support, optimization, and scaling as your business grows

Portfolio

Success stories and results

DeFi Scout

DeFi Scout

A unique product that serves as a real assistant for both beginners and experienced market participants, providing all current information and recommendations from a trained AI agent "from your pocket". No installation or updates required.

💰 Grant Recipient
Read full case study
Fitness Agent

Fitness-Agent

AI-powered fitness coaching bot with personalized workouts

📈 +20% Engagement
Read full case study
DO.LYA — Креативная мастерская подарков

DO.LYA ~Креативная мастерская подарков~

DO.LYA — полнофункциональная экосистема: веб‑витрина + Telegram‑бот + обучаемые AI‑модули. Показывает, как мастера и небольшие производства могут продавать, общаться с клиентами и автоматизировать рутину без завязки на маркетплейсы.

💰 15% Conversion
Read full case study

Diving into AI Agents: 2025 Guide

Discover how AI Agents are transforming business processes right now

According to Gartner, by 2024 AI will automate 69% of managers' routine work. AI agent technologies are becoming a key driver of business digital transformation.

$757.6B+

Global AI Market Size in 2025

Precedence Research
19.2%

Annual CAGR Growth

Precedence Research
$5B+

Russian AI Market Size

Statista
Дополнительные источники: Smart Ranking Artimate Let AI be

The global AI market is projected to reach $3.68T by 2034. The Russian market shows impressive growth of 26-37% annually, accounting for about 0.7-1% of the global volume.

Deep Dive into AI Technologies

Comprehensive guide from AI basics to advanced agent systems

What is Artificial Intelligence

Artificial Intelligence (AI) is a technology that enables computer systems to learn, reason, and make decisions by mimicking human intelligence.

Machine Learning

Algorithms that improve through experience

Natural Language Processing

Understanding and generating human language

Computer Vision

Interpreting and analyzing visual data

Neural Networks

Brain-inspired computational models

Key Definitions

AI Agent

Autonomous software system capable of analyzing data, making decisions, executing actions, and adapting to changes.

Machine Learning

Algorithms that improve their performance through experience and data, enabling systems to learn patterns and make predictions without explicit programming.

Natural Language Processing

Technology that enables computers to understand and generate human language, powering chatbots, translation services, and voice assistants.

Computer Vision

AI technology that interprets and analyzes visual information, enabling machines to identify objects, recognize faces, and understand visual content.

Neural Networks

Computational models inspired by the structure and function of biological neural networks, forming the foundation of deep learning and modern AI systems.

AI Agents Applications

Finance

  • Transaction processing
  • Fraud detection
  • Automated reporting

Customer Service

  • 24/7 support
  • Personalization
  • Fast query processing

Document Management

  • Data extraction
  • Document classification
  • Auto-filling forms

DevOps

  • System monitoring
  • Automated testing
  • Update deployment

Measurable Implementation Results

-40%

Operational Cost Reduction

McKinsey, 2025

30-55%

Development Productivity Growth

Goldman Sachs Case Study

99.96%

Automation Accuracy

Industry Analysis 2025

Results by Industry

Industry Cost Reduction Productivity ROI Timeline
Manufacturing -45% +60% 3-4 мес.
Financial Services -35% +40% 2-3 мес.
Healthcare -30% +50% 4-6 мес.
Retail & E-commerce -40% +55% 1-2 мес.

Key Success Factors

142x

Contextual Relevance

Higher efficiency vs generic solutions

1-3

Phased Implementation

Months to full deployment

-30%

Hybrid Solutions

Cost reduction vs full replacement

DeFi Scout Case Study

AI-powered DeFi analytics platform for market participants

DeFi Scout Interface

Problem

DeFi market participants struggled with fragmented information sources, complex protocols analysis, and lack of real-time personalized recommendations, leading to poor investment decisions and missed opportunities.

Timeline

Research & Design 2 weeks
AI Model Training 3 weeks
Platform Development 6 weeks
Testing & Launch 2 weeks

Solution

  • • AI agent trained on DeFi protocols data
  • • Real-time market analysis & alerts
  • • Personalized investment recommendations
  • • Telegram bot interface for accessibility

Results

$20K
Mantle Grant
500+
Active Users
89%
User Satisfaction

Tech Stack

Python + FastAPI
OpenAI GPT-4
Telegram Bot API
PostgreSQL + ClickHouse
Docker + K8s
Yandex Cloud
"DeFi Scout изменил подход нашего сообщества к DeFi инвестициям. Рекомендации ИИ очень точные!"
— Елена Смирнова, Lead блокчейн-сообщества CryptoMoscow

Fitness Agent Case Study

AI-powered personalized fitness coaching platform

Fitness Agent Interface

Problem

Fitness enthusiasts struggled with generic workout plans, lack of motivation, and absence of real-time guidance, resulting in 70% workout plan abandonment rate within first month.

Timeline

User Research 1 week
AI Training & Design 4 weeks
Bot Development 3 weeks
Beta Testing 2 weeks

Solution

  • • AI coach with personalized workout plans
  • • Real-time form correction via video
  • • Progress tracking & motivational system
  • • n8n workflow automation for reminders

Results

+20%
User Engagement
65%
Retention Rate
1000+
Active Users

Tech Stack

n8n Automation
Telegram Bot API
OpenAI GPT-3.5
Supabase Database
Computer Vision API
Yandex Cloud
"ИИ тренер как личный инструктор в кармане. Моя последовательность кардинально улучшилась!"
— Алексей Козлов, Fullstack-разработчик в Яндексе

DO.LYA — Креативная мастерская подарков

Полнофункциональная экосистема: веб‑витрина + Telegram‑бот + обучаемые AI‑модули

DO.LYA — Креативная мастерская подарков

Проект показывает, как производители, мастера и небольшие производства могут продавать, общаться с клиентами и автоматизировать рутину без зависания в маркетплейсах.

Ключевые принципы

  • Полное внимание к 152‑ФЗ — локальное хранение данных и политика конфиденциальности.
  • AI‑первый подход — генерация карточек, подбор подарков, админ‑ассистент.
  • Омниканальность — сайт + Telegram для удобства покупателя и мастера.
  • Масштабируемость — архитектура легко адаптируется под другие ниши.
  • Безопасность — HTTPS, логирование, контроль доступа.

Что умеет прямо сейчас (кратко)

  • Витрина и каталог: умные фильтры, избранное, автоматическая модерация, SEO.
  • AI‑консультант: подбор по бюджету/поводу/полу/возрасту, корпоративные заказы, ответы только по реальным товарам.
  • Платежи: полная интеграция с ЮKassa, webhooks, чеки ОФД и уведомления в Telegram.
  • Админка: AI‑ассистент для отчётов и рекомендаций, экспорт, трекинг конверсий.
  • Telegram‑экосистема: добавление товара из чата, оповещения, подписки и работа с клиентами прямо в мессенджере.
  • Ведение отчётности, аналитика, прогнозирование.

Почему это важно для мастера/производства

  • Меньше рутины — больше времени на производство.
  • Нет % маркетплейса — прозрачная подписка/фикс.
  • Быстрый выход в интернет через Telegram.
  • AI‑генерация карточек экономит часы на одно изделие.
  • Поддержка масштабирования: от одного мастера до локальной фабрики.

Для чего это можно масштабировать

  • Розница и бутики
  • B2B‑продажи и отдел продаж
  • Производство (прогноз спроса, предиктивное обслуживание, QC)
  • R&D (анализ данных, генерация гипотез)

Get in Touch

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