Retail And E-Commerce
Answer published product questions and collect product interest. Authenticated order questions need identity checks and an approved source.
Explore Retail And E-Commerce AI →Website Chat + Customer Service
AI Chatbot For Website Questions And CRM Leads
Turn a visitor's question into a useful answer or a clear next step. Mimasa connects a website chat widget to approved company knowledge, an AI agent, and a controlled workflow. When a visitor asks about a product, the workflow can capture the enquiry in your CRM.
Start with a prepared flow, test it, and add the embed script to your website. Keep salespeople available for conversations that need them.
Approved answers · CRM lead capture · Human handoff · Workflow history
Website Visitor
Which product would suit a small manufacturing line?
Approved Answer
Product guide · Public FAQ
Product Enquiry
Permitted fields · Consent
CRM Lead And Assigned Owner
Saved confirmation or visible exception
Two Outcomes
One Website Conversation, Two Useful Outcomes
The answer helps the visitor now. The CRM lead gives the sales team a place to continue.
- 01 · Visitor
Which product would suit a small manufacturing line?
- 02 · Assistant
Checks the approved product guide and asks one useful follow-up question.
- 03 · Visitor
I need a quotation for two plants.
- 04 · Assistant
Asks for permitted contact and requirement details. A sales colleague will review the request.
- 05 · Workflow
Checks the CRM for a likely existing record, submits approved fields, and returns a confirmation or exception.
If knowledge is incomplete, the assistant asks for clarification or hands the question to a person. It never invents a price, policy, stock status, or commitment.
Definition
What Is An AI Chatbot For A Website?
An AI chatbot for website visitors is a chat interface that understands a question and returns a useful response. A basic widget may only display scripted answers.
This use case connects the widget to approved knowledge and a workflow that can take a permitted next step. The widget is what visitors see. The agent and workflow run behind it.
They decide whether to answer, ask for details, record an enquiry, or involve a person. A website chatbot should be judged by its answers and handoffs, not by the chat bubble alone.
Message-Triggered Workflow
How The Website Chat Workflow Runs
Each new visitor message can invoke the appropriate configured path. Permitted context helps avoid asking the same question again.
- 01
Receive The Message
A visitor types in the website chat widget. The configured workflow receives the message with permitted session context.
- 02
Understand The Intent
Identify a general question, product interest, request for a person, or private account question. Ask for missing details.
- 03
Retrieve Approved Knowledge
Check sources allowed for this public visitor. Do not reveal internal documents or private CRM records.
- 04
Choose The Response Path
Answer, ask a follow-up question, collect an enquiry, or route an uncertain case to a person.
- 05
Validate Enquiry Details
Check permitted fields and look for a possible duplicate in the connected CRM when configured.
- 06
Submit And Confirm
Create or update the permitted record. Show a clear exception if the CRM write fails.
- 07
Keep The Next Step Owned
A sales or service employee reviews the lead, qualifies it, and follows up under the organisation's rules.
Approved Knowledge
Give A Knowledge Base Chatbot Approved Answers
A knowledge base chatbot searches the company's approved content for an answer. It may use product guides, service details, FAQ pages, help articles, or published policies.
An AI knowledge base chatbot can respond in everyday language while keeping the source boundary clear.
This is often called a chatbot “trained on your website”. Here, answers come from configured sources. A visitor message does not retrain the underlying model.
Explore Document And Knowledge Automation →- Choose which sources are public and which remain internal.
- Assign an owner to prices, terms, product descriptions, and FAQs.
- Update changed information before publishing it as an answer.
- Test questions with missing, conflicting, or outdated sources.
- Give the assistant a clear way to say it does not know.
Lead Generation Chatbot
Explore AI Sales Automation →
Turn Product Interest Into A CRM Lead
A lead generation chatbot should help first and capture details when a visitor has a reason to share them. It can ask about the product, expected quantity, location, timeline, and preferred contact method.
An AI lead generation chatbot recognises buying intent, validates configured fields, and submits an enquiry for sales review. This chatbot for lead generation captures context. Sales staff still qualify the lead.
| Step | Example Output | Owner |
|---|---|---|
| Visitor expresses interest | Please send a quotation for two plants. | Visitor |
| Assistant collects details | Contact and product requirement, with relevant notice | Configured workflow |
| CRM receives the enquiry | New or updated lead with source: website chat | CRM remains the record holder |
| Sales reviews the lead | Qualification, pricing, and follow-up | Sales employee |
CRM Connection
Connect The Chatbot To Your Existing CRM
AI chatbot CRM integration maps approved chat details to fields in the CRM the company already uses.
The connection may use an available Mimasa block, an approved API, or a configured MCP tool. The exact route depends on the CRM and deployment.
A lead capture chatbot can create a record only after these controls are set. The CRM remains the system of record.
Compare Salesperson-Led Lead Capture →- 1
Which fields are required, optional, or prohibited?
- 2
What counts as a likely existing lead or contact?
- 3
Which records may be created or updated?
- 4
Who receives an incomplete, duplicate, or failed submission?
- 5
What confirmation can be shown to the visitor?
Illustrative Embed
Add A Chatbot To Your Website With An Embed Script
To add a chatbot to website pages, an authorised editor places the supplied JavaScript snippet in an approved code area or tag manager.
Illustrative Embed
<script src="approved-widget.js"></script>
Not a production snippet. No credentials belong in public website code.
- Step 01
Choose the public knowledge and visitor journeys.
- Step 02
Connect the AI agent to the message-triggered workflow.
- Step 03
Add permitted CRM fields and test the connection.
- Step 04
Configure the widget's appearance, welcome message, and handoff route.
- Step 05
Test questions, lead creation, duplicates, bad inputs, and failures.
- Step 06
Copy the embed snippet into the website and check it on desktop and mobile.
- Step 07
Review early conversations and improve the knowledge and rules.
A simple flow with prepared content may be configured in under 30 minutes. Website access, CRM mapping, permissions, security review, and testing can take longer.
Human Ownership
Know When A Person Should Take Over
A chatbot human handoff carries the question and permitted context to an employee. Someone must own the next action.
| Trigger | Visitor Sees | Team Receives |
|---|---|---|
| No approved answer | A clear admission and a next step | The question and missing-knowledge signal |
| Product or commercial exception | A request for contact details or a human reply | The requirement and CRM reference, if saved |
| Sensitive account question | A verification or human-service path | The request without private account facts |
| CRM submission failure | An honest pending state | An error and assigned follow-up task |
The visitor must not see a saved confirmation when the CRM write failed.
Bounded Agent
Choose What The AI Agent May Do
An AI agent for website conversations interprets requests and uses assigned tools. A workflow defines safe paths and required checks.
| Capability | Typical Permission | Review Condition |
|---|---|---|
| Answer general questions | Read approved public knowledge | Missing or conflicting source |
| Ask follow-up questions | Collect configured visitor details | Sensitive or excessive data |
| Create a lead | Write approved CRM fields | Possible duplicate or failed validation |
| Retrieve private records | Off for anonymous chat by default | Verify identity and authorisation first |
| Send a person the conversation | Share permitted context | Employee owns the reply |
This makes a website AI agent more useful than a static FAQ menu while keeping its actions limited.
Cross-Industry
Useful Across Industries
The website pattern is cross-industry. Knowledge, CRM fields, and escalation rules change with the business.
Travel And Tourism
Guide visitors through public service information and capture a trip or group enquiry. Do not confirm a quote or availability without a connected source.
Explore Travel And Tourism AI →B2B Manufacturing And Services
Ask for the specification, site, volume, and timeline. Give sales a clearer starting record while people retain pricing decisions.
Explore AI Sales Automation →Evidence
What To Measure After Launch
Review the chatbot as a service workflow, not just as a conversation count. Start with the current baseline and avoid invented benchmarks.
An enquiry count alone does not prove lead quality. A high self-service rate does not prove the answers were correct.
- Useful answers backed by approved knowledge.
- Questions the assistant could not answer.
- Enquiries submitted successfully to the CRM.
- Duplicate or failed CRM submissions.
- Time until an employee owns a handoff.
- Follow-up completion and customer feedback where available.
- Questions that reveal missing or stale knowledge.
Governance
Security, Governance And Deployment
The website is a public entry point. Keep the widget, workflow, and business-system permissions separate.
Do not infer a visitor's identity from a typed name or an unauthenticated chat session.
Explore Data Governance →- Restrict anonymous visitors to approved public knowledge.
- Keep CRM and system credentials outside the public embed script.
- Limit allowed CRM fields, write actions, and users.
- Validate inputs and apply configured spam safeguards.
- Define consent, retention, transcript access, and deletion rules.
- Record tool results and failures for human review.
- Route uncertain or consequential requests to an authorised employee.
- Match deployment to website connectivity and security requirements.
Related Workflows
Related Customer Conversation Workflows
Each page has separate channel ownership. The Gosthi collaboration page will activate after publication.
WhatsApp AI Customer Service Agent
Use approved knowledge and a configured workflow to answer inbound WhatsApp messages and route exceptions.
Explore The WhatsApp AI Customer Service Agent →
WhatsApp Customer Collaboration Through Gosthi
Keep the customer on WhatsApp while an employee replies from a dedicated Gosthi thread.
Explore WhatsApp Customer Collaboration
Frequently Asked Questions
Clear answers about website chatbot setup, approved knowledge, CRM lead capture, privacy, and human handoff.
Clear Next Step
Give Website Visitors An Answer And Your Team A Clear Lead
Start with your most common visitor questions and one product-enquiry path. See how Mimasa links approved knowledge, website chat, your CRM, and a person who owns the next step.