AI chatbots
AI chatbots for your business.
Give customers a useful way to ask questions and explain what they need. We build chatbots with a defined knowledge base and a clear route to a person.
Where it helps
- Your team answers the same questions every day.
- Enquiries arrive without the information you need.
- Customers need help finding the right next step.
What we can build
Grounded answers
Use approved business information with clear boundaries on what the chatbot can answer.
Better enquiries
Collect the relevant details and pass them to your team or CRM.
Human handover
Offer a route to a person when a request is complex or the answer is uncertain.
The right scope, together
We agree the knowledge sources, tone, boundaries and handover rules. We test realistic questions and discuss how you will maintain the content as your business changes.
The project in practice
Useful answers, with clear limits.
Illustrative scenario: a visitor asks whether you cover their area. The chatbot uses approved service information, asks for the details needed to qualify an enquiry and offers a contact route when it cannot answer.
Prepare approved knowledge
Identify the pages and documents the chatbot can use. Assign an owner to update them when services, policies or availability change. Private customer records are not a public knowledge base.
Separate answers from actions
Answering a question is different from changing an order or creating a booking. Agree authentication, permissions and approval rules for each action before connecting live systems.
Test uncertainty and handover
Check ambiguous questions, unsupported requests and attempts to bypass instructions. Define the fallback message and how a person receives the conversation. These checks reduce risk; they do not make AI infallible.
Before you build
If a short FAQ or a better enquiry form solves the problem, start there. A chatbot is most useful when visitors need a conversation to find information or explain a request, and someone can maintain its knowledge.
What to include in a chatbot budgetSee how it connects
One enquiry. Everything connected.
See how a chatbot, a custom CRM and automation can work together to handle a new enquiry, with a person in control of what goes out.
Enquiry received
“We’d like a simpler way to manage our enquiries.”
CRM lead created
Interest: enquiry management
Owner: ready to assign
Follow-up prepared
“Thanks for getting in touch. Let’s talk about your current process.”
Fictional example, not a client case study or a live integration.
A few useful answers
Can an AI chatbot make mistakes?
Yes. We use a defined knowledge base, test common scenarios and provide a fallback to a person. It should not be treated as infallible.
Can it connect to our CRM?
Where the CRM supports suitable integrations, it can create or update enquiries using the fields and permissions we agree.
Let’s make work a little lighter
What would you like to take off your plate?
Tell us where work gets stuck, or what you want to build. We’ll work out a practical starting point together.
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