AI Chatbot Consulting & Development · UK-based · Available now
AI Chatbot Consulting & Development: Trained on Your Content, Built into Your App
AI chatbot consulting and custom development in one: I help you scope the right chatbot, then build it for your web app or SaaS product — trained on your content, scoped to your use case, and integrated directly into your product. This is bespoke code you own outright, rather than a generic off-the-shelf widget. Projects from £750.
Types of chatbot I build
Each built for a specific use case, not a one-size-fits-all tool.
Answers common customer questions 24/7, trained on your product docs, FAQs, and policies. Reduces support volume without losing quality.
Qualifies website visitors through a conversation, capturing details, asking the right questions, and routing hot leads automatically.
Your team asks questions of internal documentation and policies in plain English, instead of searching through folders or asking colleagues.
Guides users to the right product or service through a conversation. Works for complex catalogues, services, or configurables.
Custom-built vs. SaaS chatbot tools
The difference matters if you care about control, cost, and quality.
Generic SaaS tools
- Generic responses, not your content
- Monthly subscription forever
- Limited control over behaviour
- Vendor branding restrictions
- Hallucinations with few guardrails
Custom-built (what I do)
- Trained only on your content
- One-time build, you own the code
- Full control over behaviour & tone
- Fully on-brand
- Guardrails and fallbacks built in
AI chatbot consulting: getting the scope right before the build
The consulting half matters as much as the code. Most failed chatbots fail at scoping, not engineering.
AI chatbot consulting is the work that happens before a line of code: deciding what the chatbot should do, what it should refuse to do, where it lives, and how you'll know it's working. Skip this and you get the classic outcome — a chatbot that answers confidently and wrongly, frustrates users, and quietly gets switched off. Get it right and the build itself is the easy part.
When I take on a chatbot project, the consulting stage answers four questions:
Deflecting support tickets, qualifying leads, or helping staff find answers are three different products. We pin down the one job that matters most before building anything.
Which documents it draws from, what it's allowed to say, and — just as important — what it must refuse or escalate. This is where hallucination risk is designed out.
A widget on your marketing site, a native panel inside your web app, or an internal tool behind your login — each has different build and data implications.
Resolution rate, escalation rate, and a set of test questions so success is measurable, not a vibe. We agree these up front so you can judge the result.
If you just want a chatbot consultation before committing to a build — a second opinion on scope, feasibility, or cost — that's fine too. Email me the use case and I'll tell you honestly whether a custom chatbot is the right call.
How I build a custom AI chatbot in the UK
A repeatable, production-focused process — UK-based, working with clients across the country.
To build an AI chatbot that holds up in production, the technical work follows a consistent path. It's the same pipeline behind the live products below.
I build a pipeline that pulls in your docs, site content, or database and prepares it for retrieval — so the chatbot answers from your material, not the open internet.
The chatbot finds the relevant passages and answers from them, with citations where useful. This is what keeps custom chatbots accurate where generic ones drift.
Clear rules for what it won't answer, graceful "I don't know" behaviour, and human hand-off when it hits its limits.
Built into your website or web app, tested against the questions we agreed, deployed to production, and handed over with a walkthrough. The code is yours.
Production chatbots I've built
Live commercial products using the same techniques.
Primary Story
AI that has real-time conversations with children about their reading, generating personalised questions, giving feedback, and adapting to their level. Thousands of conversations per month in production.
primary-story.com ↗Job Space AI
AI-assisted platform helping job seekers through a conversational interface: CV feedback, career guidance, and interview practice. Commercial SaaS with paying users.
Live · jobspaceai.com ↗Pricing
One-time fixed-price build. No ongoing SaaS fees, and you own the code.
- Discovery call to define scope and behaviour
- Chatbot trained on your content
- Integrated into your website or app
- Guardrails and fallback behaviour built in
- Code handover, you own it outright
- One round of revisions included
Common questions
Whatever you provide: website content, product documentation, FAQs, uploaded documents, or a database. I build the ingestion pipeline as part of the sprint.
I build guardrails in from the start, so the chatbot answers only from your content and says "I don't know" rather than guessing. You define the boundaries.
Either. I can build a chat widget for an existing website or integrate it natively into a web application. Tell me what you have.
I build an update pipeline as part of the integration so the chatbot stays in sync, or show you how to trigger updates yourself.
Yes. Retainers available for follow-on features, tuning, and iteration after the initial build.