Knowledge & scope
Choose the approved pages, documents and questions the assistant should cover.
AI Chatbot Development
AI chatbot development services
Help website visitors find useful answers and a clear next step. Plan a website chatbot around approved knowledge, a defined set of questions and a reliable human handover.
What is included
Start with a scope you can review.
Your proposal confirms deliverables, accounts, review stages and support.
Conversation design
Define useful answers, uncertainty handling and when a person should take over.
Website integration
Review hosting, access, user interface and the agreed enquiry destination.
Evaluation & handover
Test example questions, incorrect assumptions and unsupported requests before a pilot.
Try an illustrative preview
See the idea in context.
Choose a sample business question in our chatbot preview. It uses prepared examples so you can explore the answer and handover experience without sending an enquiry.
Before we begin
The details that shape your project.
What we need from you
Approved business FAQs, contact routes, sample questions, content ownership and the information the assistant must not collect.
Scope & ongoing costs
AI can produce incorrect answers. Sensitive actions and important decisions need an appropriate human check. Model/provider usage, hosting and content maintenance are ongoing costs.
What affects the schedule
Knowledge quality, channels, integrations and testing requirements determine a pilot scope before production.
Common questions
A clear answer before you commit.
Does the website preview use a live AI model?
No. It is a clearly labelled illustrative interaction with prepared examples. A production assistant is scoped and tested separately.
Can it answer every question?
No. We define a useful boundary and a fallback when the approved information does not support an answer.
Can it hand over to WhatsApp?
A handover route can be included. Channel access, platform requirements and consent are reviewed for the chosen workflow.
Related services
Build a connected plan.
Your next step
Discuss a focused first step.
Share your goal, current setup and the outcome you need.
Discuss your project ↗
Review your prepared message in WhatsApp, then tap Send.
Plan your chatbot project
Answer a defined set of customer questions
Identify the questions customers repeatedly ask and the approved information that may answer them. Decide whether the assistant guides visitors, prepares an enquiry or supports an existing workflow.
Keep a person within reach
Define when the assistant should stop answering and offer a human contact route. Prices, availability and account-specific requests may need current data or a person rather than a generated guess.
Clarify integrations and recurring costs
Discuss the website platform, knowledge sources, model usage and hosting. A prepared demo shows a concept; a production assistant needs connected services, testing and ongoing content ownership.
Define a useful first AI project
These examples describe possible project scopes. Share your real workflow to assess suitability and delivery requirements.
A service enquiry assistant
An illustrative use case is helping a visitor identify a service and prepare an enquiry. Define which questions can be answered and when a person should take over.
Knowledge and maintenance
Identify the pages or documents the assistant may use, resolve conflicting information and agree who keeps it current. Live prices or account-specific information need a separately assessed connection.
Pilot acceptance checks
Test common questions, ambiguous wording, missing answers and requests outside scope. Review answer quality and handover behaviour before extending the assistant.
Questions about AI chatbot development services
Can a website chatbot capture leads?
Lead collection can be assessed as part of the conversation and contact journey. The proposal confirms fields, storage, routing and review responsibilities; a chat does not by itself prove a qualified lead.
Can the chatbot use our website content?
Approved website content can be reviewed as a knowledge source. Its accuracy, update process and access requirements are checked before implementation.
Can you build a multilingual chatbot?
Required languages and representative questions need to be scoped and tested. Language coverage is confirmed after reviewing the use case and selected services.
How do we measure whether the chatbot is useful?
Agree a sample test set and review criteria, then assess useful answers, appropriate handovers and usage costs against the original task.