AI Chatbot Development
Chatbots that answer from your systems, not from a generic model — customer service, sales qualification, appointment booking and internal knowledge. Connected to your CRM, helpdesk and diary, with the handover to a person designed first.
What We Build
Every chatbot is custom-built for your specific business — not a generic template.
Customer Service Bot
Answer FAQs, handle returns and troubleshoot issues 24/7 without staff cost. Most businesses see routine tickets fall noticeably in the first month.
Sales Qualification
Qualify leads automatically. Ask the right questions, score prospects, and pass hot leads to your sales team.
Appointment Booking
Book appointments, send confirmations, and handle rescheduling — integrated with your calendar system.
Internal Knowledge Base
Give your team instant answers from internal docs, policies, and procedures. No more digging through shared drives.
What a Project Looks Like
Every project is scoped and quoted after a free discovery call, so you get a fixed price for your situation rather than a number that assumes someone else’s. These are the shapes most engagements take.
FAQ & Handoff Bot
A business answering the same handful of questions all day and wanting them off the inbox.
Typical timeline: 1–2 weeks
- Website chat widget
- Trained on your FAQs and documents
- Email or Slack handoff to a human
- Monthly conversation review
Integrated Support Bot
Anyone whose answers live in a system rather than an article: orders, bookings, account records.
Typical timeline: 3–6 weeks
- Everything in the FAQ bot
- CRM, helpdesk or booking integration
- Lead qualification and routing
- WhatsApp or SMS channel
Custom AI Agent
Teams who need the bot to take actions across several systems, not just answer.
Typical timeline: 6–10 weeks
- Multi-step workflows and actions
- Multiple systems and channels
- Role-based internal knowledge bot
- Dedicated optimisation sprints
Timelines are typical and depend on how many systems are involved and how ready your data is. Tell us what you need and we will give you a fixed price and a date.
From Brief to Bot in Weeks
Discovery
We audit your current support flow, identify top questions, define the bot scope and integrations needed.
Training & Setup
We connect the AI to your data, write the system prompt, and configure the conversation flows.
Integration
Deploy to your website, WhatsApp, or CRM. Connect handoff flows. Test with real users.
Optimise
Review conversation logs, improve weak responses, expand knowledge. Ongoing improvement as your business grows.
The systems it connects to
A bot that only knows your FAQ page is a search box with a personality. The useful ones read from the systems where the answers actually live. What decides the scope is rarely our side of the work — it is what your system permits. Some expose everything through a documented API, some allow reading but not writing, and some sector-specific products need the vendor to approve the integration first. We check yours before quoting.
CRM
- HubSpot
- Salesforce
- Zoho
- Pipedrive
- Microsoft Dynamics
Helpdesk
- Zendesk
- Intercom
- Freshdesk
- Front
- Help Scout
Booking & diary
- Calendly
- Acuity
- Google Calendar
- Microsoft 365
- Sector practice systems
Commerce
- Shopify
- WooCommerce
- Magento
- BigCommerce
- Custom carts
Channels
- Website widget
- WhatsApp Business
- SMS
- Slack
- Microsoft Teams
Everything else
- Any system with a documented API
- Internal databases
- Document stores
- Webhooks
- Bespoke line-of-business tools
What the weeks actually look like
This is a typical integrated build. A simpler FAQ and handover bot compresses into the first two weeks; a multi-system agent runs longer. The column on the right is the part most proposals leave out: a chatbot project stalls on access and content far more often than on engineering.
| When | What we do | What we need from you |
|---|---|---|
| Week 1Scope and boundary | We audit your live enquiries, agree the questions the bot will own, and write the list of things it must never attempt. We check what your CRM or booking system actually permits before promising anything. | An export or sample of recent enquiries, a named decision-maker, and read access to the systems in scope. |
| Week 2Content and connections | We connect the bot to your documents and records so it answers from your material, build the integrations agreed in week one, and set up the handover route to a person. | Your FAQs, policies and product or service detail, plus whoever owns the systems for a short access conversation. |
| Week 3Testing against real conversations | We replay your real historic enquiries through the bot, tune the weak answers, and check the whole widget works by keyboard and screen reader before anyone sees it. | Two or three people to try to break it, and an hour to review the answers it gets wrong. |
| Week 4Launch and watch | We go live, usually to a share of traffic first, and read every conversation in the opening fortnight. Weak answers get fixed while you watch rather than after a quarterly review. | A decision on where escalations land, and someone to receive them. |
What it must never do
We design the handover to a person before the conversation flows, because that boundary is what makes everything else safe to automate. A bot that knows when to stop is worth more than one that always has an answer, and the most expensive failures we are asked to fix are almost always a bot that pressed on when it should have stopped.
The list is yours, not ours. We write a first draft from your sector and your policies, you correct it, and it becomes the specification the bot is built against and tested on.
- Give legal, medical or financial advice, or anything else that needs a qualified person
- Commit to a price, a discount or a refund outside a policy you have written down
- Guess when it does not know — it says so and offers a person
- Argue with an unhappy customer instead of escalating them
- Hide that it is software when someone asks
- Keep going when a caller says they want to speak to a human
Three things to ask any chatbot supplier
Not legal advice, and your own advisers should confirm how each applies to you. But these are the questions that separate a supplier who has thought about UK deployment from one selling a widget.
Does it say it is not a person?
Article 50 of the EU AI Act covers systems that interact directly with people and requires them to be built so users know they are dealing with an AI system. The European Commission confirms those transparency obligations apply from 2 August 2026, with a limited grace period only for the separate marking of generated content on systems already on the market. There is no equivalent UK statute, but if any of your customers are in the EU it reaches you.
Where does the conversation data go?
You stay the data controller. Your privacy notice has to cover chatbot conversations, a lawful basis has to be recorded, and there should be a retention rule rather than an indefinite archive. The ICO updated its guidance on AI and data protection in April 2026 to reflect the Data (Use and Access) Act, and says it is revising its automated decision-making and profiling guidance under the same Act.
Can everyone actually use it?
A large number of shipped widgets fail here. WCAG 2.2 requires every function to work by keyboard, so quick-reply buttons cannot be mouse-only. New messages need an ARIA live region or a screen reader user never learns a reply arrived. The input label must survive typing, and the focused element must not be hidden behind the widget.
AI Chatbots for UK Businesses
Each sector page sets out the systems we connect to there, the rules the bot has to work under, and what it must hand to a person.
Not listed? We work across UK professional services, hospitality and SaaS too. Tell us about your business.
Frequently Asked Questions
Does our chatbot legally have to tell people it is not a human?
If any of your customers are in the EU, yes. Article 50 of the EU AI Act covers systems that interact directly with people and requires them to be designed so users are informed they are dealing with an AI system; the European Commission confirms those transparency obligations apply from 2 August 2026, with a limited grace period only for the separate marking of AI-generated content on systems placed on the market before that date. There is no equivalent UK statute, but we build the disclosure in by default because hiding it damages trust and costs nothing. Confirm your own exposure with your legal adviser.
What happens to customer data the bot collects?
You remain the data controller and the conversation data stays under your control, in the UK or EU, with a retention rule agreed before launch rather than kept indefinitely. Your privacy notice needs to cover chatbot conversations and you need a lawful basis recorded for the processing. The ICO's guidance on AI and data protection sets the expectations and was updated in April 2026 to reflect the Data (Use and Access) Act, and the ICO has said it is revising its automated decision-making and profiling guidance in light of the same Act, so this is an area to re-check rather than set and forget.
Will the bot work for someone using a screen reader or a keyboard?
Ours will, and it is worth asking any supplier the same question, because a large number of shipped widgets fail here. WCAG 2.2 requires all functionality to be operable by keyboard, so quick-reply buttons inside bot messages cannot be mouse-only. New messages need to be announced through an ARIA live region — the log role carries a polite live setting for exactly this — or a screen reader user never learns a reply arrived. The input label must stay visible once typing starts, and the focused element must not be hidden behind the widget.
What stops it inventing an answer?
Two things, and the second matters more. The bot answers from your own documents, records and systems through retrieval rather than from a model's general training, so it has something specific to quote. Then it has an explicit boundary: a list of things it must never attempt — legal or clinical advice, a price commitment, a refund outside your policy, anything outside your written protocol — and a handover to a person on the route you choose. We design that boundary before the conversation flows, because it is what makes the rest safe.
Which of our systems can it actually connect to?
Most mainstream CRMs, helpdesks, booking systems and store platforms expose an interface we can use, and we check yours specifically before quoting rather than promising in advance. The honest constraint is not our side, it is what your system permits: some products expose everything through a documented API, some restrict writes, and some sector-specific systems need the vendor to approve the integration first. On the discovery call we tell you which category yours falls into, and if a booking write is not achievable we say so and start with the parts that are.
What happens if we stop working with you?
Everything keeps running. The accounts are set up in your name rather than ours, the code and the conversation data are yours on completion and full payment, and the handover is part of the engagement rather than a favour at the end of it. Worth asking any agency this before you sign, because it is not universal.
Read before you buy ai chatbot development
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An honest decision guide for UK business owners weighing three routes to an AI chatbot: no-code builders, building on an LLM API with your own developer, or hiring a UK chatbot agency. What each involves, GDPR and a 7-step checklist.
Ready to Build Your AI Chatbot?
Book a free 30-minute discovery call. We will scope the bot, tell you which of your systems it can realistically reach, and say plainly if an off-the-shelf tool would serve you better.
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