WhatsApp Chatbot That Answers And Starts The Right Workflow
Your customer sends a message on WhatsApp. Mimasa's AI agent checks approved company information, follows the right workflow, and gives a useful reply. It can record a product enquiry in your CRM or ask a team member to take over.
Each path has its own data source, permissions, and next owner. Not every message is fully resolved by AI.
01 · Answer
Answer A General Question
Customer“Do you deliver this product to my city?”
Agent: Checks an approved delivery policy and gives the supported answer. If the policy has no city-level detail, it asks for a location or offers a human reply.
02 · Act
Start A Permitted Workflow
Customer“Can someone send a quote for 500 units?”
Agent: Collects the required enquiry details, checks the CRM for a possible existing record, and submits a permitted lead for sales review.
03 · Hand Off
Hand The Question To A Person
Customer“Why is my latest invoice still showing as unpaid?”
Agent: Explains that the account must be verified. It routes the question to an authorised employee with the available context. It does not guess a balance.
This is WhatsApp AI customer service with clear limits.
Definition
What Is A WhatsApp AI Chatbot?
A WhatsApp AI chatbot reads a customer's message and responds through a configured business channel. A scripted bot follows a fixed menu.
Mimasa connects the conversation to an AI agent that can use approved knowledge and tools inside a governed workflow.
An AI WhatsApp chatbot can understand a question in the customer's own words. It still needs clear rules about what to answer, which systems to check, and when to ask a person.
The phrase WhatsApp chatbot for business should mean a reliable customer journey, not just an automatic greeting. The workflow should show what happened after the message arrived.
Message-Triggered Workflow
How The WhatsApp AI Agent Works
A WhatsApp AI agent can choose among assigned tools as the request changes. The workflow keeps required checks in place. Each inbound message follows the configured path with its permitted conversation context.
1
Receive
An inbound message reaches the configured WhatsApp business channel and starts or resumes a Mimasa workflow.
2
Understand
The agent identifies a public question, product enquiry, existing-customer request, or issue that needs a person.
3
Check
It retrieves approved knowledge or asks an authorised system for the facts allowed in that path.
4
Decide
The workflow applies rules for answer quality, identity, data access, CRM fields, and escalation.
5
Reply Or Route
It sends an approved answer, records a permitted enquiry, or passes the request to a human owner.
6
Record
It logs the permitted outcome and any failed step so the team can investigate or follow up.
Public FAQs need approved sources. Product guides, service hours, delivery terms, and current policy pages may all be useful. Each source should have an owner and an update process.
This is more useful than a WhatsApp auto reply chatbot that sends the same answer to every question. The agent can match the request to the right permitted path. The business still decides which answers are safe to automate.
Ask for a missing detail when a question is vague.
Say when the available information cannot confirm an answer.
Route an exception with the question and source context.
Avoid exposing internal-only documents in a public chat.
Identity Checks
Know Which Questions Need Identity Checks
The sender's number can help find a likely CRM contact. It does not prove that the person may see private account details.
Public versus private WhatsApp questions and their safe paths
Question Type
Example
Safe Path
Public knowledge
“What are your opening hours?”
Answer from approved public information
New product enquiry
“Can I get a quotation?”
Collect permitted details and create or update a CRM lead
Existing order
“Where is my order?”
Verify identity, then check the authorised order system
Receivables or invoice
“What is my outstanding balance?”
Verify identity and account access; use the finance source or a person
Dispute or complaint
“This invoice is wrong.”
Route to an authorised employee with context
Do not infer an order status from an old CRM note. Use the system that holds the current order. Do not infer receivables from a chat history. Use the authorised finance record.
A customer may begin with a simple product question and then ask to speak with sales. The agent can collect a name, company, product interest, quantity, location, and preferred follow-up method when those fields are required.
A WhatsApp AI sales agent may help with this intake step. A salesperson still decides on qualification, pricing, commitments, and follow-up. If the CRM write fails, the customer must not receive a false “saved” confirmation.
Check whether a likely contact or lead already exists.
2
Validate the fields it is allowed to send.
3
Create or update an authorised CRM record.
4
Attach the permitted enquiry context.
5
Assign a sales owner or next task.
Beyond Auto-Replies
What Makes A WhatsApp Business AI Agent Useful?
A WhatsApp Business AI agent should move beyond a fixed keyword reply when the question changes. It can use assigned knowledge and tools, then invoke a defined workflow for actions that need checks.
Simple automatic reply compared with a Mimasa agent and workflow
Need
Simple Automatic Reply
Mimasa Agent With Workflow
Common FAQ
Sends a preset message
Retrieves an answer from the approved source
Unclear request
May repeat a menu
Asks a relevant follow-up question
Product interest
May send a generic brochure
Collects permitted details and starts CRM intake
Private account question
May give no useful path
Requires verification or sends the case to a person
Missing source or failed action
May appear to succeed
Shows a clear exception and assigns the next step
The agent does not gain unlimited authority. It uses only the data and actions assigned to that customer-service workflow.
Product Screen PlaceholderInbound WhatsApp message triggers a Mimasa workflow with approved knowledge, CRM enquiry action, and human escalation branches.Product Screen PlaceholderMimasa agent execution result with fictional masked customer context, source, status, and next owner.
Human Handoff
Hand A Conversation To A Human Without Losing The Request
An agent should stop and route the chat when it cannot safely complete a request. A person needs to see the customer's question, what the agent checked, and why it stopped.
Set an owner and a clear AI pause or takeover rule. Prevent the agent and employee from sending conflicting replies.
In a separate use case, the company team can reply from a dedicated Gosthi customer thread while the customer stays on WhatsApp. That human thread keeps permitted CRM-linked history.
Useful handoff triggers include:
A request to speak with a person
No trustworthy answer
A sensitive account or payment question
A complaint or disputed fact
A possible duplicate customer record
A failed CRM or order-system call
A high-value enquiry that needs commercial judgement
Channel Setup
Connect The Channel Within Its Rules
A WhatsApp Business API chatbot needs an approved business setup and a configured way to receive and send messages. Incoming messages can reach the backend through the provider's supported integration and webhook events.
This is a customer-initiated service workflow. Do not present the WhatsApp automation software as a licence to send bulk promotions or unrestricted outbound messages.
Before launch, confirm:
The approved business number and account setup.
Which messages and media types the connection supports.
Customer-service reply windows, template rules, and applicable costs.
Customer notices and consent for the intended journeys.
The destination for human takeover.
Transcript and summary retention rules.
What happens if the channel or workflow is unavailable.
Cross-Industry
Cross-Industry Examples
This use case remains cross-industry. Knowledge, systems, and escalation rules change with the business.
Retail And E-Commerce
Answer product and delivery-policy questions. After verification, check a current order from the connected order system. Route returns, payments, or disputed facts under the retailer's own process.
Answer approved trip or service questions. Collect a booking enquiry for follow-up. Send changes and unusual requests to a person who can check live availability.
Set a starting baseline and track outcomes without invented targets.
An automated reply count does not prove the customer received a correct answer. Review the facts, exceptions, and next-step ownership.
Questions answered from approved sources.
Unknown or conflicting questions sent to a person.
Confirmed CRM enquiries and failed submissions.
Time to an employee-owned handoff.
Repeat contacts caused by incomplete answers.
Account requests blocked pending identity checks.
Knowledge gaps found through real questions.
Governance
Security, Privacy And Deployment
WhatsApp messages may contain names, phone numbers, order references, prices, and private account details. Treat the channel as an entry point, not as identity proof.
Mimasa can support cloud, private cloud, or on-premise components. The final channel design must account for the business messaging platform and the customer's infrastructure.
Limit the agent to approved knowledge and tools.
Authenticate and authorise access before sharing private records.
Keep business-system credentials outside messages and prompts.
Set role-based access to CRM fields and permitted write actions.
Define transcript, summary, retention, and deletion rules with the organisation.
Preserve source context and workflow results where the policy allows.
Review how the selected channel provider and deployment handle messages and data.
Put sensitive or uncertain decisions with authorised employees.
Clear answers about WhatsApp agents, approved knowledge, CRM enquiries, identity checks, and human takeover.
It is an automated chat experience on a business's WhatsApp channel. In this use case, Mimasa connects inbound messages to approved knowledge, an AI agent, and controlled workflows.
An automatic reply sends a preset message. An AI agent can interpret the request, check approved sources, use assigned tools, and follow the workflow permitted for that question.
Yes, when the relevant information is approved, current, and connected. It should say when a reliable answer is unavailable.
Yes, if the CRM connection, fields, and permissions are configured. Sales staff can review and qualify the enquiry later.
It can use an authorised order source after the customer's identity and access are checked. A phone number match alone should not release private information.
It can ask for missing information or route the case to a person with the available context. A failed system action should remain visible.
Yes, when a handoff path is configured. The agent should pause or follow clear takeover rules while an employee handles the conversation.
That depends on the selected setup. The separate WhatsApp–Gosthi use case lets an employee reply in Gosthi while the customer remains on WhatsApp.
No. Mimasa connects AI and workflows around authorised systems. The CRM, order platform, and finance system remain responsible for their records.
No. The business must follow current platform rules for its number, message types, service windows, templates, and customer permissions.
No. Missing evidence, disputed facts, sensitive account information, and consequential decisions need checks or human review.
Clear Next Step
Give Each WhatsApp Question A Safe Next Step
Bring one common inbound question, an approved knowledge source, and the system that holds the answer. See how Mimasa can connect a customer message to a useful reply or the right team member.
