Chatbot development in London
A London-registered team building chatbots for UK businesses. Grounded in your own approved content, accessible to everyone who has to use it, and built to hand over to a person before it starts guessing.
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London
Chatbot Development for London
The chatbots that work in the UK market are the ones that answer from something real. Support queries about your product, questions about a policy, the status of an order or a case: these have correct answers that already exist somewhere in your business. A model answering from general knowledge will sound confident and be wrong often enough to cost you more in complaints than it saved in handling time. So we build retrieval first and conversation second, grounded in your approved content, showing where an answer came from where that matters.
UK GDPR shapes the rest. A chat log is personal data, frequently including things a customer volunteered that you never asked for, so retention, access and deletion need deciding before launch rather than after a subject access request arrives. If conversations are processed by a third-party model provider, that relationship needs to be documented and defensible. None of this is difficult, but it is a great deal easier to design in than to unpick from a live system with six months of transcripts in it.
Then accessibility, which chat widgets routinely fail. A chat interface that traps keyboard focus, does not announce new messages to a screen reader or cannot be resized is unusable for a portion of your customers, and under the Equality Act that is exposure as well as poor service. We build to WCAG and test with assistive technology. Being London-registered means UK hours, English-law contracts and the option to be in the room when the escalation policy needs agreeing with the team who will actually handle it.
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What is specific
Built for London
Grounded answers, not generated ones
We build the bot to answer from your documentation, policies and systems rather than from a model general knowledge, and to show its source where a customer might reasonably want to check. This is what keeps a support bot from confidently inventing a returns policy you do not have, which is the failure mode that turns a cost saving into a complaints problem.
UK GDPR settled before launch
Chat logs are personal data, and customers volunteer more in a chat window than in a form. Retention, deletion, access requests and what is sent to a third-party model provider all need a documented position from day one. Deciding this after six months of transcripts exist is considerably harder than deciding it in the first design conversation.
An accessible chat interface
Most chat widgets fail on keyboard focus, live-region announcements and resizing, which makes them unusable for screen-reader and keyboard-only users. We build to WCAG and test with real assistive technology. Under the Equality Act that is a legal expectation as much as a quality one, and it is a small cost at build time compared with a remediation project later.
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Scope
What we build
Project delivery, owned end to end, for London clients.
- Retrieval-grounded support and service chatbots answering from your own approved content
- Website, in-product and messaging channel deployment, chosen for where your customers actually are
- Escalation to a human with full conversation history, and explicit out-of-hours behaviour rather than silence
- UK GDPR handling: retention, deletion, subject access and a documented position on third-party model processing
- Accessible chat interfaces built to WCAG and tested with assistive technology
- Helpdesk and CRM integration, plus reporting that shows where your own content is failing customers
Chatbot Development in London: common questions
Where is Yarqat based?
Yarqat is a UK company registered in London. That means UK working hours, English-law contracts, sterling invoicing and the option to meet in person, which is genuinely useful when agreeing the escalation policy with the support team who will live with it. Most of the build runs remotely because that works better, but the room is available when it earns its place.
How do you stop it giving wrong answers?
By grounding it in your own approved content rather than letting a model answer from general knowledge, showing sources where a customer may want to check, and setting a confidence boundary beyond which it hands over. We also agree the list of questions the bot must never attempt, because for some subjects, complaints and anything regulated in particular, the correct behaviour is to route straight to a person.
What about GDPR and chat transcripts?
Transcripts are personal data and customers routinely volunteer more than you asked for. Retention periods, deletion, subject access and what is sent to a third-party model provider need a documented position before launch. It is straightforward to decide up front and considerably harder once you have months of live conversations to work through.
Is the chat widget accessible?
It is built to be. Keyboard focus handling, screen-reader announcements for new messages, contrast, resizing and clear labelling are part of the build and tested with assistive technology. Most off-the-shelf widgets fail at least one of these, and under the Equality Act an unusable interface is exposure as well as poor service.
Should we build an agent instead?
Only if you need actions rather than answers. A chatbot that answers questions is cheaper, safer and quicker to get live. An agent that updates records or takes actions carries a permission model, approval steps and an audit trail it does not need. We will tell you which one your problem actually calls for rather than selling the larger build.
Chatbot development in London?
A technical conversation with the engineers who would do the work. If we are not the right fit, we will say so on the call.