AI doesn't write for us. It helps us write better.
At our company, artificial intelligence is a tool in the hands of experienced specialists – not a replacement for people. We use it where it genuinely improves speed and quality, and we deliberately define its limits. For every line of code we deliver, there’s a person who can explain it.
What's in it for the client
Concrete values and results
In our work, AI benefits the client both indirectly and directly: it shortens time, organizes documentation, and increases test coverage.
Shorter delivery time
In projects where AI works well, we shorten delivery time by roughly a quarter. The scale depends on the scope - we always assess it individually.
A better documented product
AI supports us in analyzing and organizing documentation and worklogs. The client gets a product that's easier to develop and maintain after deployment.
More thorough testing
We generate unit tests faster and more densely. When 80% of the application is covered by tests, we can add new features without the risk of breaking something that already worked.
A faster start in a new domain
When a project touches an area that's new to the team, AI speeds up research into libraries and solutions. This shortens preparation without sacrificing reliability - every piece of information is verified by a human.
AI inside the software house
AI across project stages
We don’t limit AI to a single phase. It supports us from the first conversation with the client through to deployment — always as an assistant whose work is approved by a specialist, and only with the client’s consent.
Analysis and estimation
AI helps us gather and summarize extensive documentation, compare requirement versions, and prepare an initial picture of the scope. On large estimates, we query it precisely and check the output — so that nothing slips through.
Client communication
We support the linguistic correctness of emails, documentation, and workflows – including in foreign languages – and prepare meeting summaries so that no decision gets lost.
Planning and management
Instead of manually writing out dozens of tasks, project managers and analysts outline the picture for AI and receive ready-made task drafts – refined and moved into the tools by a human.
Programming
AI speeds up writing methods, suggests solutions, and helps find the causes of bugs faster. Every generated fragment goes through review: does it make sense, is it optimized, and does it break the rest of the code.
Testing and quality
We generate unit tests faster and more accurately than by hand, building a dense safety net around the application. This makes it possible to develop the product without worrying about regressions.
Deployment and development
AI also supports us in launching and further developing the solution. Increasingly, we see a role for it in QA and management as well – we expand its applications wherever they bring real value.
WHAT WE WORK WITH
The AI tools we use
We select tools to match the nature of the project and the client’s policy — from code assistants, through specialized models, to solutions run locally.
DEVELOPER SUPPORT
- Claude Sonnet / Opus code generation and analysis, problem diagnosis
- GitHub Copilot code autocompletion, unit tests
- Diffblue automatic test generation
- AI Plugins for IDE suggestions and analyzers within the working environment
SPECIALIZED MODELS
- LLM models business functions in client solutions
- Whisper (OpenAI) speech-to-text conversion
- AI analyzers and parsers processing documentation and data
ANALYSIS AND ORGANIZATION
- Conversational assistants research, summaries, content editing
- Meeting summaries notes and decisions from meetings
- On-premise models local versions for confidential data
OUR APPROACH
AI assists - we have the final word
Generative AI does what we ask it to. It does so based on a prompt written by a human. That’s why it’s the human – our specialists – not the tool, who is responsible for the final result.
AI ASSISTS WITH
- analysis and research
- finding information and libraries
- preparing proposals and drafts
- generating code and tests
- summarizing documents and meetings
THE HUMAN DECIDES ON
- the correctness and reliability of the result
- alignment with business requirements
- architecture and security
- the quality of the code delivered
- accountability toward the client
Our principle is one simple formula: HUMAN + AI = RESULT.
AI doesn’t work autonomously – at the end there’s always a specialist who can explain every line of code and every decision in the project.
Our approach
We agree on AI use with the client from the start
We discuss every use of AI before work begins. We adapt to the client’s policy and comfort level – up to and including a complete withdrawal from AI tools, if that’s what’s expected.
Scope and type of tools
- We agree on which tools we may use. Some clients prefer specific solutions for reasons of business security, others exclusively local versions, without the cloud.
Data protection
- We don't input confidential and sensitive data into tools without prior agreement. Where necessary, we turn to on-premise solutions and secured infrastructure, ensuring regulatory compliance.
Full transparency
- The client has the right to ask about every line of code — and we're able to explain it. The fact that a tool helped speed something up doesn't exempt us from fully understanding what we deliver.
Our approach
We know the limits - your greatest benefit
It’s easy to overestimate what AI can do. The greatest risk arises where its output isn’t verified. We don’t automate for the sake of it. Our greatest strength is our expert knowledge, our experience, and a team built from professionals.
Control
- Validation instead of blind automation AI can generate a solution that looks convincing at first glance but requires an expert assessment of architecture and security. That assessment is always carried out by a human.
Development
- Code built for further development Code generated without oversight is often unreadable and hard to maintain. The market for fixing such applications is growing — we both fix them and, from the outset, write in a way that lets the product be developed safely.
Find out where AI will genuinely increase efficiency in your organization
We begin every implementation with an analysis of processes and risks. Get in touch, and together we’ll work out a proposal tailored to your business.
