What affects AI application cost?
AI projects have additional layers compared to traditional software. Here are the key factors shaping the cost.
Type of AI functionality — do you need a chatbot that answers questions, a system that analyzes documents, or a fully automated process? A basic AI feature (single task) is the most affordable.
Data volume and quality — AI systems learn from data. Data preparation (cleaning, labeling, organizing) is often the largest part of the work and budget.
AI source — using existing AI services (OpenAI API, Claude API) is faster and cheaper. Custom model development (fine-tuning) is more expensive but gives full control.
Application integration — AI must be embedded into your site or app. If you already have a site with us, integration costs are lower.
Operational costs — AI services are charged by usage. For small volumes: €20-100/month, for larger: €500+. Our website packages (Starter from €360, Business from €690) are a great foundation for adding AI features.
Estimated cost ranges for AI projects
AI projects span a wide range. Here are estimated ranges based on our real projects.
Basic AI feature — from €1,500 to €3,000 — one task: chatbot answering questions based on your material, automatic classification, or text summarization. Example: AI assistant on your website answering common user questions.
Advanced AI system — from €3,000 to €7,000 — AI that searches multiple sources (documents, knowledge base, integrated tools), adapts answers, and learns from feedback (RAG architecture). Example: internal AI assistant searching all company documentation.
Full AI platform — from €7,000 to €15,000+ — fully automated processes, complex data processing, multiple AI agents working together. Example: automated document analysis platform with workflow automation.
Operational costs (monthly AI service fees like OpenAI API) are not included in the development price and are arranged separately.
How to choose the right level of AI functionality?
You do not have to build the most complex AI system right away. Most businesses can start with a simple AI feature and expand over time.
Start with existing solutions — for 80% of business needs, existing AI services (OpenAI, Claude) are sufficient. This is the fastest and cheapest path.
Upgrade gradually — start with one AI function (e.g., a chatbot on your site), test with users, then add more advanced capabilities when you see what truly delivers value.
Invest in data — quality data is the most important success factor. Invest in data organization and preparation before investing in a complex model.
If you already have a site with us, adding AI features is simpler and cheaper — our packages (Starter, Business, E-shop) are AI-addon compatible.
How to optimize your AI project budget
- Start with one function — you do not need to automate everything at once. Pick one business problem and solve it with AI.
- Use existing services — ready-made AI services (OpenAI, Claude API) handle most needs. Fine-tune a custom model only when you have a confirmed need.
- Prepare your data — quality data is more important than a complex model. Clean and organize data before you start development.
- Define success metrics — how do you measure whether the AI feature is doing its job? Without clear metrics, it is easy to over-invest without progress.
- Plan operational costs — AI services are charged by usage. Monitor monthly costs from the start to avoid surprises.
Frequently Asked Questions
AI projects have additional work layers: data preparation and cleaning, testing whether AI gives accurate answers, and costlier infrastructure (GPUs, API fees). Analysis and testing therefore make up a larger budget share than in traditional software.
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