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AI Integration & AI Agents

Adding artificial intelligence to real products: support chatbots, AI agents that actually do work, LLM-powered automation, semantic search and RAG over your documents. No hype, just deliverables that save hours.

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// WHAT'S INCLUDED
// HOW WE BUILD
STEP / 01→
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Interview
Deep-dive sessions mapping your business, your users, and the real constraints. We dig until we understand the product you actually want to build.
STEP / 02→
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Design
UI/UX systems, data architecture, information design — grounded in the brief, not the trend feed.
STEP / 03→
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Development
Tested, modular, well-documented code. Weekly demos, public repos, full audit trail.
STEP / 04→
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Prototype
Working build deployed to staging at week 4. Real data, real flows, real feedback — before pixels are locked.
STEP / 05→
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Testing
Automated suites, load tests, a11y audits, security review. We break it before your users do.
STEP / 06→
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Monitoring
Observability, incident response, growth iterations. We don't ghost on launch day — we stay on call.
// FAQ
How much does an AI integration cost?

From €4,000 for a simple LLM-powered chatbot, up to €20,000+ for complex AI agents with RAG and tool calling. Inference cost (OpenAI/Anthropic) is separate and depends on actual usage volume.

Which AI model do you use?

Depends on the use case. OpenAI GPT-4o for general-purpose, Claude for complex reasoning, Mistral/Llama self-hosted when data can't leave your infrastructure. We choose the stack after the brief.

Is my data kept private?

Yes. We use zero-retention providers (OpenAI Enterprise, Anthropic, Azure OpenAI) or self-hosted models on your infrastructure. We never train models with client data.

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