AI development costs in the UK in 2026: proof of concept from £10k, AI agents from £20k, RAG from £30k, LLM apps from £40k. What drives the price.
Short answer. In the UK in 2026, an AI proof of concept costs from £10,000 (4–6 weeks), an AI agent that automates one workflow from £20,000, a knowledge assistant (RAG) over your documents from £30,000 and a production LLM application from £40,000. Adding AI to an existing application typically costs £20,000–£80,000. These are Magora's published prices; across the UK market, AI and machine learning production builds range from about £40,000 to £250,000 and more. The price depends less on the model than on your data, integrations, accuracy target and controls.
This guide is for founders, product owners and operations leaders budgeting for AI. It gives the price of each type of AI project, explains what moves the number, covers running costs, and shows how to get from an idea to a fixed price without paying for guesswork.
Last checked: 2 November 2026.
AI development prices in the UK, by project type
| What you buy | Typical time | Magora price (GBP) |
|---|---|---|
| Free working prototype on a sample of your data | 5–10 working days | £0 |
| Discovery: data, approach, model choice, fixed estimate | 2 weeks | From £3,000 |
| AI proof of concept: a controlled pilot on real data, accuracy measured | 4–6 weeks | From £10,000 |
| AI MVP: a first release with AI at its core | 6–8 weeks after Discovery | From £10,000, most £10,000–£25,000 |
| AI agent automating one internal workflow | 6–8 weeks after Discovery | From £20,000 |
| Fine-tuned open-source model for your domain | Scoped in Discovery | From £25,000 |
| Knowledge assistant (RAG) over your documents, with citations | 6–8 weeks after Discovery | From £30,000 |
| Production LLM application, customer-facing or multi-agent | 3–6 months for multi-agent systems | From £40,000 |
| Adding AI to an existing application | Depends on scope | £20,000–£80,000 |
| Support after launch | Monthly | From £1,000 a month |
Magora 2026 prices, excluding VAT, as published on our AI and ML development, AI agent, RAG and AI proof of concept pages. A fixed price is quoted after Discovery.
For context, the UK market ranges we publish on our UK software development pricing page put an AI or machine learning production build at about £40,000–£250,000+, a Discovery sprint at £8,000–£30,000 and a startup MVP at £25,000–£80,000 at other London agencies. Those are market bands, not quotes.
What real AI projects cost
| Project | What was built | Budget band |
|---|---|---|
| BodySync (healthcare, 2025) | AI web app that generates physiotherapy treatment plans from clinician input and peer-reviewed sources; deployed in UK clinics | From £40,000, LLM-powered application |
| Empath AI (financial services, 2025) | SaaS for call centres: vocal-biomarker analysis and live guidance to agents inside Microsoft Teams | £40,000–£60,000+, scoped after Discovery |
| AI phase added to an existing product (2026) | One of the 12 project estimates we wrote for UK clients in 2026 | £7,598 |
Sources: Magora case studies and software development cost UK 2026, which analyses those 12 estimates.
The spread is the point: a narrow AI feature on top of a product that already has users, data and authentication can cost a few thousand pounds, while a new AI product with real-time processing, several roles and compliance work sits in the tens of thousands.
What drives the cost of an AI project
| Driver | Cheaper when | More expensive when |
|---|---|---|
| Data | Clean, digital, accessible through an API | Scattered across PDFs, inboxes and legacy systems; needs cleaning or labelling |
| Accuracy target | A person reviews every output | The AI acts on its own, or errors are costly |
| Integrations | Reads from one system | Reads and writes to CRM, ERP, email and document stores |
| Approach | A hosted model with good prompts and retrieval | Fine-tuning, your own hosting or several cooperating agents |
| Real time | Batch or asynchronous | Live voice or sub-second responses |
| Compliance | No personal data | Health, financial or other special category data; DPIA, audit trail, UK hosting |
| Users | Internal team | Customer-facing, at scale, with roles and permissions |
Running costs after launch
An AI product keeps costing money after it ships. Budget for:
- Model usage fees from the provider (OpenAI, Anthropic, Google or a hosted open-source model), which grow with usage. See our guide to OpenAI API pricing.
- Hosting, including a vector database for RAG and any GPU hosting for self-hosted models.
- Evaluation and monitoring: a test set run on every change, alerts on failures and cost spikes.
- Support and improvement: prompts, retrieval and integrations need tuning as your data and the models change. At Magora support starts from £1,000 a month.
We set cost limits and usage alerts from the first release, so a spike in traffic does not become a surprise invoice. Read more in how AI startups can keep model costs under control.
We build AI assistants, automation and machine-learning features into real products, from proof of concept to production. First release in 6–8 weeks; developers from £49/hour.
How to get to a fixed price
- Free working prototype on a sample of your data in 5–10 working days, so you see the idea working before paying anything.
- Discovery, two weeks from £3,000: the data audit, the approach, success criteria and a fixed estimate that is yours to keep, whoever builds it.
- Proof of concept if the risk is whether the AI is accurate enough: from £10,000 in 4–6 weeks, with measured results.
- Production build at a fixed price, typically 6–8 weeks for one workflow, with weekly demos on your data.
Budgeting mistakes we see
- Pricing the demo, not the system. A chatbot demo is cheap; permissions, audit logs, evaluations and monitoring are what make it safe to use.
- Ignoring the data work. If the knowledge lives in scanned PDFs and inboxes, getting it ready can be a large share of the budget.
- Automating the whole process at once. Start with one workflow, measure, then extend.
- Forgetting the running costs of model usage, hosting and support.
- Choosing AI when rules would do. If the steps never change, a rule-based automation is cheaper. We cover that choice in AI agent vs chatbot vs automation.
Want a number for your AI idea? Send us a short brief: we will build a free working prototype on a sample of your data in 5–10 working days and then give you a fixed estimate. More about our AI and ML development.
Frequently asked questions
How much does AI development cost in the UK?
At Magora a working prototype is free, Discovery costs from £3,000, an AI proof of concept from £10,000 (4–6 weeks), an AI MVP from £10,000 (most £10,000–£25,000), an AI agent for one workflow from £20,000, a RAG knowledge assistant from £30,000 and a production LLM application from £40,000. Adding AI to an existing application typically costs £20,000–£80,000. Prices exclude VAT.
How much does an AI agent cost to build?
An AI agent that automates one internal workflow starts from £20,000 at Magora and typically ships 6–8 weeks after a two-week Discovery. Multi-agent systems take 3–6 months and start from £40,000 as a production LLM application.
How much does a RAG chatbot over company documents cost?
A knowledge assistant with a retrieval pipeline, vector database and API over your documents starts from £30,000 at Magora. It answers from your own content and cites the source.
What are the running costs of an AI product?
Model usage fees from the AI provider, hosting, the vector database if you use one, monitoring and evaluation, and support. At Magora support starts from £1,000 a month. Model fees depend on usage, so we set cost limits from the first release.
Why do AI quotes vary so much?
Because the cost is driven less by the model than by the data, the integrations, the accuracy you need and the controls around it. A demo can be built in days; a production system with evaluations, permissions, audit logs and monitoring takes weeks.
Should I start with a proof of concept?
If you are not sure the AI can do the job well enough on your data, yes. A proof of concept from £10,000 in 4–6 weeks gives you measured results and a costed plan for production, or a clear reason not to build.
Sources
- Magora: AI and ML development
- Magora: AI agent development
- Magora: RAG development
- Magora: AI proof of concept
- Magora: UK software development pricing
- Magora: software development cost UK 2026 (12 project estimates)
Alexander Bessudnov
Alexander is an accomplished Chief Product Owner with a proven track record of leading successful product development initiatives at Magora. With a passion for innovation and a keen understanding of market trends, Alexander plays a pivotal role in shaping Magora's product strategy and ensuring the delivery of cutting-edge solutions to clients.
LinkedIn