Conversation and knowledge design
We map the intended questions and organise approved sources. Content owners and update responsibilities are clear so the assistant does not quietly rely on outdated information.
An AI chatbot that knows when to hand over.
Help visitors find answers without sending them through a maze of pages. We build assistants around approved information, clear boundaries and a route to a person when the question needs more than an automated answer.
- AI chatbots
- Clear review points
- A useful handover
A real task first. The technology second.
A chatbot is useful only if it helps with a real customer task. We define the questions it should answer, the sources it can use and the situations where it must avoid guessing before designing the interface.
Talk through your briefWhat we can help with.
These are the building blocks. We agree the deliverables and review rounds around your brief, so the scope is clear before work starts.
AI helps. Your team decides.
Prepare changes with AI, then review the result before publishing.
A considered website interface
The assistant is designed to fit your website and make its limitations clear. Visitors can understand when they are interacting with AI and how to use an alternative contact route.
Boundaries and testing
We test representative questions, unsupported requests and attempts to override instructions. Sensitive actions and uncertain answers have a defined fallback rather than being left to the model.
Handover and review
The scope defines usage costs, access and the review process for improving responses. Monitoring and ongoing content maintenance can be included, with responsibilities agreed explicitly.
From a clear brief to a useful handover.
Share the approved knowledge sources, common questions and escalation route. We review what data the assistant may receive and agree model usage, retention and operational responsibilities before launch.
Choose a real task
We map one repeated job, its inputs and the person responsible for the result. If a simple integration can do it reliably, we do not add AI just for the label.
Build with boundaries
We connect the approved tools and information, define what the system can do and test both typical cases and exceptions. Sensitive actions need an explicit review point.
Launch with oversight
Your team gets a walkthrough, runbook and a way to stop or escalate the workflow. Ongoing monitoring, usage costs and improvements are agreed before handover.
A feel for our work.
A short look at the websites we design and build.
The next pieces, if you need them.
Start with this service. Bring in the related work when it helps, not because it is part of an oversized package.
Before we get started.
Can it answer from our own content?
Yes, using an agreed set of sources. That does not make every answer infallible, so we test relevant questions and define how uncertain or unsupported requests are handled.
Will it replace our support team?
The goal is to help with suitable repeated questions and make handover easier. Complex, sensitive or account-specific requests may still need a person or a separate authenticated workflow.
Can it handle personal information?
Only after the data flow, provider terms, permissions and retention needs have been reviewed. We do not assume a public chatbot should receive sensitive customer information.
Let’s talk about ai chatbots.
Tell us what you are working on, what is getting in the way and where you would like to get to. We will help define the next step.