AI Development Cost for UK and EU Businesses: What Drives the Price

Common Types of AI Projects#

• AI feature in an existing product. For example summarising tickets or drafting replies. Usually the smallest scope.
• RAG assistant. A chatbot or search over your own documents, with citations and access control.
• AI agent. An assistant that takes actions through your systems, with permissions and human approval.
• Document AI. Extracting structured data from invoices, forms or contracts, with human review.
• Custom machine learning. Training models on your own data; the most data and effort-intensive option.

What Drives AI Development Cost#

• Data readiness. Clean, accessible data costs far less to work with than scattered files.
• Integrations. Each system the AI reads from or writes to adds design and testing.
• Accuracy needs. Higher accuracy targets need evaluation sets, tuning and human review.
• Security and compliance. Access control, audit logs, data residency and GDPR work.
• Interface. A simple widget inside your app costs less than a new standalone product.

Running Costs After Launch#

Model usage is billed per token or request, so cost grows with traffic and with how much context you send each time. Add hosting, a vector database if you use retrieval, and monitoring of quality and cost. Set a monthly budget and alerts from day one.

• Cache. Reuse answers to common questions instead of calling the model each time.
• Right-size models. Use smaller, cheaper models for simple steps and larger ones only where needed.
• Trim context. Send only the most relevant passages, not whole documents.

UK and EU Compliance Costs#

Personal data in prompts falls under UK GDPR or EU GDPR, so check where the model provider processes data and whether it is used for training. EU businesses should also track the EU AI Act, whose obligations depend on risk level and are being phased in; the European Commission's AI Act page has the current timetable. Building explanations, logging and human review in from the start costs less than adding them later.

Start With a Proof of Concept#

If you are unsure whether AI will work on your data, start with a short proof of concept that tests accuracy on real examples before building the full product. Our guide to MVP vs prototype vs proof of concept explains when each fits, and RAG vs fine-tuning covers the most common technical choice.

How We Price AI Work#

At Limbani Softwares projects start from $1000 and are priced on scope after a discovery call. We give you a written estimate for the build and a separate estimate of monthly running costs, so there are no surprises after launch. See our AI services and how we work with UK and European companies.