The Question Everyone Asks and Nobody Answers
“How much does AI cost?” is the new “how long is a piece of string?” Every vendor dodges it. We won’t.
The honest range for an SMB AI integration: EUR 10,000-150,000 depending on scope. That’s a wide range, so let’s break it down.
Small projects (a well-defined pilot targeting one use case) run EUR 10,000-40,000. Medium projects (integrating AI into existing workflows across multiple systems) land between EUR 40,000 and EUR 150,000.
The number that catches companies off guard: 60% of total cost comes after the initial build. Maintenance, model updates, scaling, and training add up fast.
Pilots: Where Most Companies Should Start
A pilot runs 4-8 weeks and costs EUR 15,000-30,000. You pick one use case, build a proof of concept, and measure results against a clear baseline.
This is the “does it actually work with our data?” phase. Not a demo with sample data. A real test with your real documents, your real workflows, your real edge cases.
The pilot answers three questions: Does the AI handle your data reliably? What accuracy level do you actually get? Does the ROI math work for production?
If the pilot fails, you’ve spent a fraction of what a bad hire costs. If it succeeds, you have concrete numbers to justify the production investment.
Production Deployment
Moving from pilot to production costs EUR 30,000-80,000. This is where you harden everything.
Error handling for edge cases. Monitoring and alerting. Security and access controls. Integration with your existing ERP, CRM, or help desk via API.
Production also means handling scale. A pilot that works on 50 documents per day needs rearchitecting if production volume is 500. Infrastructure decisions that seemed fine at pilot scale break under real load.
Companies routinely underestimate this jump. One industry report found businesses underestimate AI scaling costs by 500-1000% when focusing solely on development expenses.
The Ongoing Cost Nobody Budgets For
Hosting runs EUR 200-2,000/month depending on volume and whether you’re using cloud or on-premise infrastructure. More data, more processing, higher costs.
Model API costs (GPT-4, Claude, or similar) add EUR 100-500/month for typical SMB usage patterns. High-volume applications can run significantly more.
Plan for 15-20% of the initial build cost annually for maintenance and updates. Models need retraining. Data pipelines need monitoring. New edge cases need handling.
A total five-year cost for an SMB AI deployment typically ranges from EUR 200,000-500,000 including development, infrastructure, and maintenance. That sounds steep until you compare it to the labor cost it replaces.
What Drives Cost Up
Legacy system integration adds 30-50% to base costs. If your ERP is from 2005 and lacks APIs, connecting AI to it requires custom middleware.
Data quality issues add timeline. If your data needs cleaning, structuring, or migrating before AI can use it, budget 15-25% of the project cost for data preparation.
Compliance requirements add architecture. GDPR data residency, audit logging, consent management, on-premise deployment for sensitive data. Each requirement adds cost but isn’t optional.
Multiple integrations compound complexity. Connecting AI to one system is straightforward. Connecting it to five systems that don’t talk to each other is a different project.
What Drives Cost Down
Clear requirements save money. “Process invoices and extract these 12 fields” is specific. “Use AI to improve our operations” is a consulting engagement, not a development project.
Starting with one use case avoids scope creep. The companies that burn budget are the ones trying to “AI-enable everything” in phase one.
Existing clean data cuts development time dramatically. If your documents are already digital, consistently formatted, and stored in accessible systems, the pipeline work is minimal.
Using hosted AI APIs instead of custom models reduces upfront cost. You trade per-query costs for zero training infrastructure.
ROI Framework
The calculation is straightforward. Measure the current cost of the process (hours x hourly rate x error cost). Subtract the projected cost after automation. That’s your annual savings.
If your AP team spends 40 hours per week on invoice processing at EUR 35/hour loaded cost, that’s EUR 72,800 per year. Automate 80% of that and you save EUR 58,000 annually.
A EUR 50,000 build cost pays for itself inside 12 months. After that, it’s pure savings minus ongoing costs.
49% of organizations struggle to estimate AI ROI. Don’t be one of them. Define your baseline before you build, not after.
For a deeper look at measuring AI returns, read our guide on measuring ROI on AI investments. For context on which use cases deliver the strongest returns, see our AI use cases overview.
Want a realistic cost estimate for your AI project? Let’s scope it together. We’ll assess your data, systems, and use case, then give you an honest number.
