faster onboarding
times faster scaffolding
days for MVP development
increased dev team productivity
AI is good at execution. An engineer is good at thinking. A combination of both allows us to deliver faster without compromising quality and long-term sustainability.
Roles | AI automates routines. Engineers own the results. |
Features | AI generates code. Engineers implement architecture. |
Quality | AI generates test scripts. Engineers execute the quality strategy. |
Documentation | AI creates initial drafts. Engineers translate business goals into solutions. |
Lifecycle | AI provides refactoring insights Engineers own strategic development. |
We've delivered software projects since 2005. AI changes how software is built, but it doesn't change the importance of architecture, communication, security, and long-term maintainability. We apply AI within established engineering practices refined across hundreds of successful projects.
We delegate execution to machines, but we never compromise on ownership. AI might write the code, but our engineers remain strictly accountable for architectural consistency, security, maintainability, and outcomes.
With 300+ developers supported by AI tools, we deliver at any scale. Whether you need specialized IT sourcing or full-scale enterprise platform development and migration, we have the bandwidth to execute.
AI can generate code, but it lacks the context to understand your organizational priorities and business trade-offs. Our engineers define clear objectives and align every solution with your strategic goals.
Hire a team of experts skilled in AI orchestration for full-cycle development and maintenance of your products. We ensure flexible scaling, onboarding support, and 100% product ownership.
Tell us about your business goals on a discovery call
Conduct interviews with developers from UKAD's talent pool
Assign first tasks to your dedicated team, while we onboard and integrate them into your business process
Implement your bravest ideas with UKAD! Share your business vision, and let us build a team to turn it into a robust software product
Provide us with your success criteria, timescale, and requirements
Setup your development team, create a delivery plan, and finalize the agreements
We build and onboard your development team. Get ready for the first demo meeting
Give your maturing platform a new life with UKAD! We deploy cutting-edge AI tools alongside the expertise of our developers to ensure a seamless transition, data consistency, and swift integration of new modules
Outline your high-level goals and expectations of the modernization
Meet UKAD’s developers who will take care of your platform
Start planning your updates while we integrate our developers into your ecosystem
Find more in our blog
Most of our projects have adopted containerization and cloud technologies. But in reality, many legacy systems still run on bare-metal infrastructure. Sometimes because of strict security requirements, specific dependencies, or simply the cost and risk of migration. Now, we're talking about IIS (Internet Information Services) - Microsoft's web server that is still widely used in corporate environments. The problem is that managing such systems often requires direct server access, which creates a barrier for developers and increases operational complexity.
UKAD has achieved the Solutions Partner for Digital & App Innovation (Azure) designation within the Microsoft AI Cloud Partner Program. This recognition highlights our expertise in Azure-based solutions, from custom application development to AI-driven cloud innovations. We ensure high-quality, scalable, and future-proof software with a team of certified Microsoft developers. Get in touch with UKAD today!
The UKAD team explores how AI is being used across the B2B ecommerce lifecycle to quietly improve the way things already work. It covers real-world use cases, practical benefits, and what teams should know before getting started, including search and demand forecasting, pricing, support, and content management. If you’re dealing with scale, complexity, or growing expectations, this guide is written for you!
UKAD has been named a Microsoft Solutions Partner for Data & AI (Azure). In this post, we explain what this recognition means, how it reflects the way we approach AI development, and what kind of support businesses can expect when working with us, like building AI tools or integrating machine learning into real operations.
Learn how n8n enables efficient automation of AI workflows through a low-code interface, 420+ integrations, and support for custom logic. Discover how teams can quickly build, deploy, and manage AI-driven processes while maintaining complete control over data and infrastructure. Ideal for DevOps engineers and business leaders integrating AI into real operations.
Artificial intelligence (AI) is revolutionizing industries, but many business owners think they need to build custom models from scratch to benefit. In reality, by customizing existing large language models (LLMs), businesses can automate tasks, improve efficiency, and access specialized knowledge without the time and expense of developing their own AI solutions. In this article, we’ll explore how techniques like prompt engineering, fine-tuning, and embedding retrieval can help your business tailor AI to meet its unique needs.
Whether a line of code is authored directly by our human engineers or generated via AI augmentation, you retain absolute, undisputed ownership of the entire intellectual property stack. Your proprietary code and project data are never shared with third parties, nor are they ever used to train public or private AI models. Your competitive advantage remains exclusively yours.
We exclusively use enterprise-grade AI tools to ensure your code is never used for model training. Furthermore, our internal policies strictly forbid the use of unvetted or unsecure AI platforms, regardless of their data protection promises. As a result, our AI-assisted development is every bit as secure as traditional software delivery.
Absolutely not. AI-assisted development is quite similar to pair programming, where one role – the driver – writes code and another – the navigator – is responsible for reviewing code, solution design, and architectural consistency. In this case, AI acts as the driver, navigated by a human engineer. It writes code based on the delivery stage and current goals, and solves other well-defined tasks. The developer’s role is to make decisions, review commits, and ensure architectural consistency.
Depending on the project’s stage, AI involvement may vary from intensive involvement to routine assistance, but it never takes control of development or removes responsibility for the results from the engineer.
AI-augmented development is highly cost-effective. While it doesn’t automatically slash the bill in half, delegating monotonous and basic tasks to artificial intelligence meaningfully reduces the project timeline and elevates the value per hour of the engineers' involvement. Therefore, the project takes less time, and you pay for less billable time.
Testing is an integral part of our development flow, regardless of the measure of AI involvement. By default, we don’t publish anything before our QA team approves it. Taking AI’s diligence into account, our engineers set up additional guardrails, like a suite of automated tests and verification in local environments. It allows us to secure processes and work only exclusively with production-ready code.
Generally speaking, our product ownership culture is the most effective guardrail. When an engineer clearly understands how the product should work and which goals it should reach, there is no difference between AI-generated and human-written code.
Security heavily depends on the approach to AI assistance on a project. Sometimes, AI can suggest insecure patterns if it doesn’t receive additional instructions and hasn't been fine-tuned. On the other hand, under professional orchestration, it can improve security. Artificial intelligence can detect potential vulnerabilities more effectively than humans and, therefore, enhance security. This is the approach we adhere to when providing AI-augmented software development services.
Our toolset for AI-assisted software development is standard because we adhere to industry benchmarks. The most important of these are GitHub Copilot, Claude, and Codex, which are used for most of our projects. The AI tool suite may vary from project to project depending on many factors. For example, GitHub Copilot provides better compliance controls; therefore, we rely on it when compliance is particularly critical. Ultimately, choosing one platform over another is always open for discussion, and we are happy to accommodate the customer’s request because our goal is to deliver a quality product, not to showcase niche tech expertise.
