How we work with AI

We help clarify requirements and business rules, design the solution and handle implementation, integrations and deployment. We use AI in analysis, implementation and testing. Our engineers make the technical decisions and take responsibility for the result. You agree on priorities and assess working features from your business perspective.

We choose tools to suit the task, technology and agreed data handling rules. We assess how useful their results are in the project. The selection can change as needs and available capabilities evolve.

AI speeds up analysis and implementation, helping us deliver the features you need sooner. The final cost and timeline depend on the scope, integrations and preparation for deployment. Before each stage, we agree on what you will receive, the price, the planned delivery date and acceptance criteria. If the scope changes, we discuss the effect on price and timing before carrying out the additional work.

Before work starts, we agree on the tasks the solution must support and how you will recognise a correct result. Your team tries agreed examples before deployment. We handle code review and technical testing, including data access and the impact on existing features. You receive the results and a list of matters that need a decision.

Before using the tools, we define which materials can be shared with them. You can exclude specific data, code or tasks from AI use. We adapt our tools and way of working to those restrictions.

Yes. We learn how the system works, the rules important to your business and its connections to other tools. AI helps us analyse code and implement changes under the agreed data handling rules. Our team plans development, reuses existing components where appropriate and prepares deployment around users’ daily work.

No. Using AI during development does not require adding it to your product. Introducing those features is a separate decision based on user needs, data and cost.