AI is no longer a buzzword or an experimental toy — it is a practical business tool that reduces costs, increases efficiency, and provides a strategic edge. Yet the most common question I get from clients is: “How much will it actually cost to implement AI?”
In this guide, I give you a clear, honest, and professional breakdown — without marketing fluff and without vague wording.
Any AI project budget is built from several core blocks:
Without clean, structured data, AI becomes an expensive toy — not a business tool.
Typical share: 10–40% of the entire budget.
This is where the “brain” of the system is formed — LLM integration, RAG setup, model routing, hallucination mitigation.
Typical share: 20–35% of the budget.
This determines stability, scalability, security, and long-term cost of ownership.
Typical share: 10–20%.
User interfaces, APIs, business logic, workflows, automation layers.
Typical share: 20–30%.
AI is alive. Models degrade, data changes, tasks evolve.
Typical share: 10–15%.
Budget: €5,000–€25,000
Budget: €30,000–€120,000
Budget: €150,000–€1,000,000+
70% of companies face it during the pilot stage.
Your team must understand how to use the tool — otherwise only 5% of its potential will be utilized.
Models become outdated. Every 6–12 months, adjustments are required.
Even 10 minutes saved per employee per day translates into hundreds of hours per year — and significant cost reduction.
Reports, document analysis, summarization, answering requests — all of that can be automated at 80–90% accuracy.
AI often replaces outdated systems that consume significant budget.
AI eliminates human error and increases operational consistency.
These factors can increase or decrease your costs by a factor of ten.
I can prepare a detailed cost estimate, design the optimal architecture, and show where you can save 20–60% without losing quality.
Contact me to get a personalized AI budget for your business.
