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About the Author - Andrey Kopanev

Andrey Kopanev

.NET developer, AI enthusiast

Andrey is a Microsoft-certified .NET developer and Azure specialist with 15+ years of experience in desktop, mobile, and web development. He specializes in ASP.NET MVC/Web API (Full/Core), using Entity Framework, Dapper, and various databases (MS SQL, Oracle, PostgreSQL) for back-end solutions. He has strong expertise in integrating AI models into .NET apps, including experience with RAG systems and MCP server management. Andrey has led complex projects such as AI chat platforms, CRM integrations, and enterprise web apps across finance, real estate, mortgage, and ecommerce sectors. Deep knowledge of modern technologies and enterprise standards coupled with hands-on skills allows him to excel in agile environments, solving problems effectively and working confidently with version control, automated testing, and database optimization.

Developing an AI Assistant Prototype for Automated Lead Discovery and Qualification

Real-Life Projects, AI & Machine Learning

Developing an AI Assistant Prototype for Automated Lead Discovery and Qualification

Finding potential clients for software development services is rarely a straightforward task. In practice, it often means manually monitoring chats, forums, and social networks, identifying promising conversations, and then reaching out to people one by one with similar introductory messages. This process is time-consuming, repetitive, and difficult to scale.

How We Built a Production-Grade RAG Engine for a Website AI Chatbot

Real-Life Projects, AI & Machine Learning, Digital Transformation

How We Built a Production-Grade RAG Engine for a Website AI Chatbot

Modern websites don’t suffer from a lack of information — on the contrary, they often suffer from information overload. Blogs, news, service pages, event announcements, case studies… everything is useful, everything is scaling, and everything is scattered across navigation paths that make little sense to a visitor who just wants one specific answer.

Top 10 Software Development Trends of 2026

Software Development

Top 10 Software Development Trends of 2026

When creating digital solutions, you are required to follow the latest software development trends, regardless of the industry you work in or the type of software you are going to build. Obviously, artificial intelligence is the buzzword today, and this technology is surely on our list. However, there are other important tendencies that IT providers […]

Natallia Sakovich

AI Agents in Logistics: The Future of Supply Chain Management

AI & Machine Learning, Digital Transformation

AI Agents in Logistics: The Future of Supply Chain Management

The logistics world is super intertwined and fast-moving today, more than it has ever been. Because global supply chains go through many countries, there can be unexpected surprises at every turn. Geopolitics, natural disasters, sudden demand shocks, and thousands of other circumstances may affect the delivery process.

Natallia Sakovich

AI and Computer Vision: The Future of Visual Intelligence

AI & Machine Learning, Digital Enterprise

AI and Computer Vision: The Future of Visual Intelligence

Machines are watching us and the world around, it’s true. Computer vision has moved from research labs to factory floors, clinics, warehouses, and storefronts quite a while ago.

Natallia Sakovich

AI Agents for Manufacturing: Applications, Benefits, and Implementation

AI & Machine Learning, Manufacturing

AI Agents for Manufacturing: Applications, Benefits, and Implementation

There is a lot of pressure on manufacturers all over the world: they are being forced to change the way they do business because of a lack of workers, unstable supply chains, rising energy costs, and aggressive sustainability goals. What is the best possible solution? Intelligent automation driven by AI agents!

Natallia Sakovich

Enterprise LLM Architecture: A Complete Guide

AI & Machine Learning

Enterprise LLM Architecture: A Complete Guide

Artificial intelligence has moved beyond pilot projects and experimental tools. Today, it transforms the way enterprises operate. Hence, the current question for enterprises is how to structure AI so that it delivers real business results.

Natallia Sakovich

AI Agents for Insurance: Revolutionizing the Industry

AI & Machine Learning

AI Agents for Insurance: Revolutionizing the Industry

The share of AI in the insurance industry was valued at more than $16 billion in 2023. By 2030, analysts forecast it will exceed $76 billion. This is a sign for insurers that the next area of competition is being drawn. One metric says a lot: insurers using AI-powered claims processing have reported cycle times […]

Natallia Sakovich

AI for IoT Security: Enhancing Protection with Intelligent Solutions

AI & Machine Learning, IoT & Embedded

AI for IoT Security: Enhancing Protection with Intelligent Solutions

In 2019, a ransomware attack on Norsk Hydro, one of the world’s largest aluminum producers, disrupted operations across 170 sites in 40 countries. The attackers targeted connected industrial systems, forcing the company to shut down several production lines and revert to manual operations. The estimated financial impact was over $70 million in losses, stemming from […]

Natallia Sakovich

Internal AI Deployment for Seamless Content Translation: A Real-Life Project Story

Real-Life Projects, AI & Machine Learning, Digital Transformation

Internal AI Deployment for Seamless Content Translation: A Real-Life Project Story

In today’s multilingual work environments, fast and reliable localization is essential. At SaM Solutions, we recently tackled the challenge of translating a large volume of internal content into English by deploying an AI-driven solution. This case study details how our team leveraged a locally hosted large language model (LLM) to automate translation directly within our […]

Natallia Sakovich