AI chatbot development UK businesses can actually audit, trained on your documents, your data, your rules not a generic SaaS widget with your logo on it. Custom LLM chatbots, RAG architecture, GDPR-compliant, live in four to eight weeks.
Intercom, Drift, and the rest are good products, but they answer from a help centre you have to keep writing. They cannot read your product database, check an order, or reason over a 200-page policy document. The moment a customer asks something specific, the bot deflects to a human and you have paid for the privilege.
Wire an API key straight to a chat window and you have built a machine that answers confidently whether or not it knows. It will quote a refund policy you do not have. Without retrieval, grounding, and citations, every answer is a liability you cannot audit.
Plenty of chatbot tools train on your conversations, store them outside the UK, or cannot tell you where the data physically sits. For a UK business handling customer information, that is a GDPR problem waiting to be found by someone other than you.
Our AI chatbot development starts with RAG over your actual content, with citations, guardrails, and data you control.
See what you get →Every build ships with the same core package. It is the baseline any AI chatbot development UK businesses pay for should meet, whether it faces your customers or sits inside the business.
Your documents, database, and knowledge base chunked, embedded, and searchable, so answers come from your content rather than the model's imagination.
Every response points back to the source it came from, so your team and your customers can check it.
Confidence thresholds, refusal behaviour for out-of-scope questions, and a clean handover to a human when the bot should not be guessing.
Benchmarked against a real question set from your business before go-live. You see how often it is right, and where it is not.
Documented data flows, retention rules, and model providers with the right agreements in place. No training on your customer conversations.
Prompt tuning, retrieval fixes, and drift monitoring after launch, from the team that built it.
If any of these describe you, we will tell you on the first call rather than waste your time or ours.
Founder at Seconddate
Foundry 5 really impressed me with their work on my AI-powered dating app. They nailed the UI/UX, starting with core app screens and then translating that vision to the web. The React site they built is sleek and polished - exactly what I was hoping for. What I appreciated most was their thoughtful approach and how easy they were to work with. They got the job done without needing me to micromanage.
CEO at StreaksAI
Foundry 5 surpassed all expectations in delivering our web development product swiftly and flawlessly. Their speed and eye for detail, especially under tight time constraints, showcase their commitment to excellence.
CEO, Xcelsior Capital
Working with Foundry 5 has been a great experience from start to finish. They seamlessly translated our vision into a website that not only showcases our brand and operations but also enhances our online presence as an investor in natural resources. Nothing was too much for them and they always put the client first.
CEO of Ove
Working with Foundry 5 to create the Ove app has been an absolute pleasure. Their professionalism, work ethic, and willingness to always go the extra mile has really impressed me. I would recommend them to anyone.
Loom Founder
Foundry 5 have gone above and beyond to bring my vision of Loom to life. Not only this, but they continue to be an integral part of our team. They are lovely people to work with, and I recommend them to anyone looking for a software partner. Particularly for non-technical tech founders (like me!) who need to ensure that their business is in safe hands.
Chief Product Officer Gather
The team has been instrumental in driving both the design and development of Gather, pairing a proactive, highly responsive workflow with the technical depth needed to handle our platform's complexity. Their partnership continues to move the product forward in a reliable and impactful way.
| Feature | Foundry 5 | SaaS chatbot | In-house |
|---|---|---|---|
| Answers from your documents and database | |||
| Citations back to the source | |||
| Accuracy measured before go-live | |||
| Guardrails and human escalation | |||
| GDPR-documented data flows | |||
| No per-seat or per-conversation licence | |||
| You own the code and can extend it | |||
| Honest advice on build vs. buy |
Pricing for AI chatbot development UK teams can plan around: we scope the work, agree a price, and stick to it. No surprise invoices, no scope creep charges, and no per-conversation licence once it is live. You get a written scope document before code starts.
For chatbots that grow: new knowledge sources, new channels, new use cases. You reprioritise at the start of each sprint as you learn what your users actually ask.
Anything else? Just book a call. We'd rather talk than write another FAQ entry.
✓Risk-free first project · Full refund if you’re not satisfied
That is the entire point of building one. We use retrieval-augmented generation: your documents, policies, product data, and past tickets are indexed into a vector database, and the model answers from what it retrieves rather than from general knowledge. It can cite the exact source of an answer, and it can be connected to your live systems to check an order or an account. A generic SaaS bot cannot do any of that.
Your content is stored in a vector database in infrastructure you control, and we use model providers under agreements that prohibit training on your data. We document exactly what is sent to the model, what is retained, and for how long, so you have a data flow you can show an auditor. Conversations are logged for your review, not for anyone else's training set. Where a use case demands it, we can run open models so nothing leaves your environment.
Buy one if your answers live in a tidy help centre and you mainly need deflection. We will say so on the first call, and we have. Build one when the answers live in your documents and your database, when a wrong answer carries real cost, or when the per-conversation pricing of a SaaS tool starts to look worse than owning the thing outright.
Customer support bots that answer from your real policies and product data, internal knowledge bots so your team stops interrupting the one person who knows, sales qualification bots that ask the right questions and hand over a warm lead, and document Q&A over large or messy content sets like contracts, manuals, and research.
Retrieval grounds every answer in your content, citations let anyone check it, and confidence thresholds decide when the bot should refuse or escalate instead of guessing. We test with adversarial questions and prompt injection attempts before launch. A bot that says “I do not know, here is a human” is worth far more than one that is confidently wrong.
Four to eight weeks from scope to live for most builds. Week one is scoping and a knowledge audit, weeks two and three produce a working prototype benchmarked on your real questions, and the production build and hardening follow. You see accuracy numbers before you commit to the full build.
Yes. We build into your web app, your mobile app, an internal tool, or wherever your users already are. It connects to your existing APIs and database, so it can do more than talk: check a status, raise a ticket, update a record, hand off to a person with the full conversation attached.
Book a 30-minute call. No pitch. We will tell you whether the AI chatbot development UK businesses like yours invest in is worth it here, or whether an off-the-shelf tool would serve you better.
✓Risk-free first project · Full refund if you’re not satisfied
