Custom AI Solutions from Europe's Leading AI Automation Agency

It depends entirely on what you're building. A focused AI chatbot with RAG integration typically starts around €5,000–€10,000. A full AI agent with CRM integration, custom training, and multi-step logic runs €15,000–€40,000+. Enterprise deployments with voice AI, multiple agents, and ongoing support are scoped individually. We always deliver a transparent fixed-cost proposal after the AI Audit.

A chatbot responds: it answers questions, guides users, provides information. An AI agent acts: it updates your CRM, sends emails, qualifies leads, processes documents, books meetings, and completes multi-step tasks autonomously. For most enterprise use cases, you want an agent. The distinction matters because agents replace human work; chatbots assist it.

Less than most people think. For a RAG knowledge system, you need your existing documents: PDFs, SOPs, contracts, FAQs. For an AI agent connected to your CRM, you need API access to your tools. For a custom LLM fine-tuning project, you need labelled examples of the behaviour you want. We assess what you have in the AI Audit and tell you exactly what's needed before we scope anything.

RAG (Retrieval-Augmented Generation) enables AI to access your actual documents when answering questions. Rather than making assumptions or providing inaccurate information, the AI retrieves relevant information from your contracts, policies, SOPs or knowledge base, and then generates accurate, source-cited responses. This makes it essential for any business that needs AI to work with proprietary information.

ChatGPT knows everything generally and your business specifically not at all. A custom AI solution is trained or fine-tuned on your data: your pricing, your tone of voice, your processes, your documents. It connects to your actual systems and takes real actions inside them. ChatGPT gives answers; custom AI delivers outcomes. The difference becomes obvious the moment you need AI to do something that requires knowing who your customers are.

Yes. We specialise in AI that can be connected to your existing stack, including CRMs such as HubSpot and Salesforce, ERPs, databases and over 500 SaaS tools via Make.com, n8n or Zapier. AI that works in isolation creates more problems than it solves. Our solutions integrate with your workflows from day one.

We're model-agnostic and our recommendations are based on your use case rather than vendor partnerships. GPT-4 is often used for creative and conversational tasks. Claude is better suited to document analysis and reasoning. Privacy-sensitive applications can run on open-source models such as Llama or Mistral, which can be deployed on your own infrastructure.

AI agents can make mistakes on edge cases, especially without enough training data or guardrails. They can hallucinate if not properly grounded with RAG or structured data. They can take unintended actions if the workflow logic isn't carefully defined. We mitigate this with human-in-the-loop checkpoints for high-stakes decisions, thorough testing on real data before go-live, and monitoring dashboards post-launch. We never deploy an agent without a clear fallback path.

We are ISO 27001 certified, the gold standard for information security, required by most enterprise procurement. All custom AI solutions can be deployed on your private infrastructure or EU-based cloud. Your data is never used to train third-party models. We also support fully self-hosted deployments with n8n for maximum data sovereignty. Every project includes a data processing agreement.

We offer Automation-as-a-Service (AaaS) for ongoing support, monitoring, and optimisation. But our default goal is capability transfer — we train your team to operate and extend the systems we build so you're not dependent on us indefinitely. Most clients run independently within 4–6 weeks of go-live, with optional retainer support for new features or integrations.

Vibe coding uses AI programming tools: Cursor, Bolt.new, Lovable, Claude Code — to write and ship software significantly faster than traditional development. It's production-ready when done by engineers who know how to review, test, and secure AI-generated code — which is exactly what our team does. We've shipped client-facing tools, internal dashboards, and AI applications this way. The output is the same quality; the timeline is 3–5× shorter.

Vibe coding uses AI programming tools: Cursor, Bolt.new, Lovable, Claude Code — to write and ship software significantly faster than traditional development. It's production-ready when done by engineers who know how to review, test, and secure AI-generated code — which is exactly what our team does. We've shipped client-facing tools, internal dashboards, and AI applications this way. The output is the same quality; the timeline is 3–5× shorter.