Help customers choose
Explain the difference between services, ask about requirements and collect the details needed for a quote. When a colleague takes over, the background is already there.
Custom AI chatbot development
Let an AI chatbot handle the questions you hear every day
How much does it cost? What’s included? How do I get started? Your team keeps answering the same questions. We’ll build a bot that uses your company’s materials, collects enquiry details and brings in a colleague when their input is needed.
Company materials
Terms and instructions
Response guidelines
Source found
LMG AIAI assistant
CRM enquiry
Website enquiries in CRMAnna · anna@example.com
Estimate neededPassed to a team member
Illustrative scenario with fictional data.
A working example
A conversation becomes an enquiry in your CRM
The bot asks what the customer needs, consults the company’s information and offers to take their contact details. Your team receives the enquiry with the conversation history and can pick it up from there.
Clarifies the requestConsults your informationPasses on the enquiry
Where a bot can help
Which conversations could you hand over?
Answer questions after a purchase
Help customers set up a product or find the right instructions. Send requests that need a staff member’s decision to them, along with the conversation.
Find information for your team
Look up a policy, explain a procedure or locate a document. An internal assistant works with company materials according to each employee’s access permissions.
You decide what the bot knows and what it may do
Answers based on your information
We’ll prepare a knowledge base from your service descriptions, terms and instructions. We’ll also agree who updates it and how changes reach the bot.
Enquiries sent to your CRM
The customer’s name, contact details and request go into the right fields. Before development, we’ll check that your CRM supports the connection and agree what data to send.
A way to reach a person
We’ll define which questions go to your team. Customers can ask for a person; the bot will explain how and when to expect a reply, based on your working hours.
Access matched to each role
We’ll separate public answers from internal information. Together we’ll decide what a visitor may see and what requires an authorised employee account.
Development and launch
We’ll start with the questions you answer every day
Review your enquiries
We’ll look at anonymised conversations, your services and instructions. Then we’ll choose the first version’s tasks, estimate the work and agree the cost.
Build and connect the bot
We’ll set up answers, follow-up questions and human handover. Connecting the agreed channels and CRM lets us test the full journey of an enquiry.
Test it with your team
We’ll try real questions, including incomplete and ambiguous ones. We’ll correct weak answers, check that enquiries arrive and show you how to update the materials after launch.
Questions before you start
What information do we need to provide?
Service descriptions, current terms, instructions and examples of customer questions. If the knowledge is still scattered across conversations and people’s memories, we’ll help organise it. Remove unnecessary personal data from the examples.
Can you connect our CRM and messaging channels?
We’ll check the specific services before quoting: they need to support a suitable integration. We’ll then agree where the bot talks to customers, what data it passes on and which actions it can take on its own.
What happens when the bot doesn’t know?
We’ll configure it to ask for clarification or refer the question to a colleague when the materials aren’t sufficient. AI can make mistakes, so we test answers before launch and plan how unsuccessful conversations will be reviewed afterwards.
Tell us about your work
Which question are you tired of answering?
Start there. Tell us where customers contact you and who answers them today. We’ll suggest which enquiries a bot could handle and estimate the development work.