Not a Decision-Tree Bot — Real Conversational AI
There's a world of difference between the old “press 1 for sales” chatbots and modern conversational AI. Today's chatbots use large language models (LLMs) grounded in your own documents through a technique called RAG (retrieval-augmented generation) — which means they answer from your real content, in natural language, without making things up. The result is a bot that can handle the long tail of genuine customer questions, not just the three you scripted.
What Our AI Chatbots Do
Answer from your content.
Trained on your website, documents, and FAQs — so answers are accurate to your business, with guardrails that stop it inventing things it doesn't know.
Capture and qualify leads.
It doesn't just chat — it collects the name, the email, the budget, and the intent, then hands a qualified lead straight to your CRM.
Book, route & escalate.
Schedule calls, route to the right team, and hand off to a human cleanly when the conversation needs one — no dead ends.
Live where your customers are.
Website widget, WhatsApp, Messenger, or embedded in your app — one brain, every channel, consistent answers.
What's Included in a Chatbot Build
A typical AI chatbot engagement covers:
A chatbot is often the first step. If you want to automate the workflows behind it too, see our AI automation service.
Grounded in Your Data — So It Doesn't Make Things Up
The single biggest risk with an AI chatbot is confident nonsense. We engineer against it: the bot retrieves answers from your approved content first, cites where it can, and is built to say “let me put you through to the team” rather than guess when it's unsure.
A chatbot that occasionally invents a refund policy is worse than no chatbot. Grounding it in your real content and giving it a clean “I'll fetch a human” path is the difference between a tool customers trust and one you have to switch off.
Ideal For
How We Deliver — From First Call to Launch (and After)
No black box. Here's exactly what happens once you bring us in:
Discovery & scoping
A real conversation about the problem, the users, and the constraints — not a sales call. We leave it knowing exactly what needs building and why.
Fixed proposal & quote
You get a plain-English scope document, a timeline, and a fixed price. What's included, what's excluded, and what happens if scope changes — all in writing before any money moves.
Design & architecture
Wireframes, UI, and the technical architecture — database schema, API design, hosting — agreed up front so there are no expensive surprises mid-build.
Build in sprints
Development happens in short, reviewable cycles with a shared board. You see working software early and often, not a single black-box handoff at the end.
QA & testing
Every feature is tested — automated tests plus manual QA on real devices — before it's marked done. Nothing ships on a “works on my machine”.
Launch & handoff
Deployment, performance checks, and a walkthrough. You get the source code, the hosting, and the documentation — full ownership, zero lock-in.
Support & iteration
We stay on for bug fixes, monitoring, and new features on a retainer or ad-hoc basis — whichever fits how your product will actually grow.
How Much Does AI Chatbot Development Cost?
AI chatbot development cost depends on how many sources it's trained on and how deeply it integrates. For reference:
| Option | Typical range |
|---|---|
| UK agency — custom AI chatbot | £6,000 – £25,000 |
| Generic SaaS chatbot (limited, ongoing) | £50 – £500 / month |
| Freelance build (variable quality) | £3,000 – £12,000 |
| Custom AI chatbot via Codified Studio | from $1,200 |
The cheapest quote on paper isn't always the cheapest in practice — a low day rate that needs heavy management, or a build that needs redoing, costs more than a fixed scope delivered right the first time. With Codified Studio, pricing is transparent from the first quote: no hidden onboarding fees, no surprise scope creep, and full code ownership at the end. See the work we've delivered or tell us what you're building.
Get a Tailored QuoteFrequently Asked Questions
Template tools give you a rigid decision tree or a bot trained on a single FAQ page. We build a custom chatbot grounded in all your content using RAG, deployed to the channels you actually use, and integrated with your CRM and workflows. It handles real, unscripted questions — and it's yours, not a rented SaaS seat.
That's the risk we engineer hardest against. The bot answers from your approved content first, is instructed to decline rather than guess when it's unsure, and hands off to a human cleanly. We also give you an admin view so you can see real conversations and tune it after launch.
Yes — clean human hand-off is built in. When a conversation needs a person (a complex complaint, a high-value deal), the bot routes it to the right team via email, Slack, or your live-chat tool, with the full context attached.
We use leading models from OpenAI and Anthropic (Claude), chosen per use case for accuracy and cost. Because it's built on an API rather than locked to one vendor, we can switch or upgrade the underlying model as better ones ship — without rebuilding your bot.
Projects are priced in USD and invoiced via Payoneer or Elevate Pay — no international wire fees, no currency surprises. Fixed-price projects run 50% deposit to start, 50% on delivery, against a plain-English scope document agreed before any money changes hands.
Related Services
Would a dedicated developer suit you better?
A fixed-scope project works best when you know what you need built. If the work is ongoing, or you already have a team that just needs more capacity, embedding one of our developers full-time is usually the cheaper route.
Ready to start your ai chatbot development project?
Tell us what you're building and we'll come back with a scoped recommendation and a fixed quote — not a generic sales call.