Responding to customers quickly on WhatsApp can make a difference in the experience of service and sales opportunities. For small businesses, however, maintaining a team available throughout the day is not always feasible.
It is in this scenario that automation becomes useful. It can help answer frequently asked questions, present products, inform hours, explain commercial policies, and direct more complex situations to a customer service representative.
Today, this service can be automated in different ways: through ready-made messages, flow-based chatbots, or artificial intelligence agents capable of understanding questions in natural language.
In this article, you will understand how these options work, what considerations should be taken into account, and how Whatsplaid can help your company automate WhatsApp customer service.
Is it possible to respond to customers automatically on WhatsApp?
Yes. A company can configure automatic responses to serve customers even when the team is not available.
Automation can be used to answer questions about:
- opening hours;
- prices;
- products and services;
- payment methods;
- delivery times;
- exchanges and returns;
- appointments;
- location;
- order tracking.
The level of automation depends on the chosen solution and the complexity of the service.
Automatic messages, chatbots, and AI agents
There are three main ways to automate conversations on WhatsApp.
Automatic messages
Automatic messages are suitable for simple responses, such as greetings, receipt confirmations, and away notices. They are easy to set up but do not interpret what the customer is asking. They usually send the same text whenever a certain situation occurs.
Flow-based chatbots
Traditional chatbots guide the customer through menus, buttons, and pre-programmed responses. They work well when the process is predictable. For example, a customer might select an option to check hours, track an order, or request a second copy.
The problem arises when the question does not match the configured flow. In such cases, the chatbot might not understand the customer's intention or present options that do not resolve the issue.
Artificial intelligence agents
AI agents can interpret questions written in different ways.
A customer might ask:
- “Can I exchange a product?”
- “What is the return deadline?”
- “I bought last week. Can I still exchange?”
- “How does the exchange policy work?”
Although the phrases differ, they all address the same subject. When connected to the company's correct information, the agent can identify this intent and provide an appropriate response. This flexibility reduces dependency on extensive menus and makes the conversation more natural.
How to automate responses on WhatsApp
To start, it is important to organize the process before activating automation.
Define what will be automated
Begin with the most frequent and repetitive questions. There is no need to automate everything at once. More sensitive questions, complaints, negotiations, and unusual situations can continue being directed to a person.
A good strategy is to let automation handle simple questions and help the team focus on more important cases.
Organize company information
The quality of responses depends directly on the available information. Before setting up the agent, gather details such as:
- description of products and services;
- prices;
- hours;
- payment methods;
- covered regions;
- deadlines;
- exchange policies;
- delivery conditions;
- frequently asked questions;
- scheduling instructions.
The clearer and more updated this information is, the higher the likelihood the service will function correctly.
Choose an automation platform
When evaluating a solution, verify if it offers the necessary features for your operation.
Key points include:
- WhatsApp integration;
- ability to use information from the company itself;
- conversation transfer to an agent;
- message history;
- integrations with online store, CRM or other systems;
- response control;
- usage limits;
- support;
- security and privacy.
The price should also be considered based on the volume of service and features included in the plan.
Set rules for the agent
Even when using artificial intelligence, the company needs to establish limits. It is important to define:
- which topics can be automatically responded to;
- when the agent should admit it does not have the information;
- when the conversation should be transferred;
- which data cannot be shared;
- the tone of communication to use;
- how the company should be presented.
These rules help keep the service in line with the brand.
Test before publishing
Before releasing the agent to all customers, conduct tests with real questions. Use direct phrases, abbreviations, typos, and incomplete questions. Also, test situations where the customer requests human support or asks something not in the knowledge base. This process helps identify issues before they affect the public.
Monitor conversations
Automation should be reviewed regularly. Observe questions that were not answered, responses that need improvement, and recurring topics. With this monitoring, the company can update its knowledge base and gradually improve the quality of service.
Human service, chatbot, or AI agent?
Each approach can be appropriate for a certain situation.
| Criteria | Human service | Traditional chatbot | AI agent |
|---|---|---|---|
| Language understanding | High | Limited to flow | Interprets different ways of asking |
| Availability | Depends on the team | Can operate continuously | Can operate continuously |
| Configuration | Requires training | Requires flow creation | Requires information, rules, and testing |
| Scalability | Depends on team size | Good for simple processes | Good for diverse questions |
| Complex cases | Suitable | Limited | Should transfer to a person |
| Maintenance | Management and training | Constant flow adjustments | Updates to information |
| Experience | Personalized | Can be rigid | Can be more natural |
For many small businesses, the best approach is to combine automation and human service. In this model, the agent handles frequent questions, collects initial information, and only escalates to the team when necessary.
When can an AI agent help?
An AI agent can be useful when the company:
- receives many repetitive questions;
- takes too long to respond during peak hours;
- receives messages outside business hours;
- has a small team;
- needs to serve multiple people at once;
- wants to reduce manual tasks;
- wants to better organize customer service;
- needs to qualify contacts before the sales team.
However, AI does not replace the need for accurate information, clear rules, and ongoing monitoring.
Important considerations
AI agents can make mistakes, especially when information is unavailable or outdated. Therefore, the system should know when not to respond and when to transfer the conversation to a person. Transfer to a human is especially important in cases such as:
- complaints;
- payment issues;
- order changes;
- negotiations;
- sensitive information;
- unrecognized questions;
- direct customer requests.
It is also important to verify how the platform stores data, controls access, and protects conversation history.
How Whatsplaid can help your company
Whatsplaid is an AI-powered customer service solution designed for companies that want to automate WhatsApp conversations more naturally. Instead of relying solely on menus and decision trees, the agent can use information provided by the company itself to understand questions and deliver contextually relevant responses.
Whatsplaid can be used to:
- answer frequently asked questions;
- present products and services;
- inform hours, prices, and policies;
- serve out-of-hours inquiries;
- qualify potential customers;
- reduce repetitive tasks;
- escalate conversations to the team;
- complement human customer service.
The setup can start with the most common topics of the company. After initial tests, new information and service options can be gradually added.
Does Whatsplaid replace customer service representatives?
Although it is possible, the goal is not necessarily to fully replace human service. In many cases, the best outcome is achieved when AI and the team work together.
The agent can handle the first message, identify the topic, answer simple questions, and collect information. When the case needs more attention, the conversation can be transferred to a human. This way, the team reduces time spent on repetitive inquiries and can focus on more complex situations.
Frequently Asked Questions
Can AI understand typos?
It can interpret abbreviations, spelling variations, and some typos. The result depends on the context of the conversation and the information provided to the agent.
Is it necessary to create multiple flows?
An AI agent can reduce the need to create extensive decision trees. However, it still requires providing information, establishing rules, and testing responses.
Can the customer speak to a person?
Yes, if the service is configured to allow transfer when the customer requests or when AI lacks sufficient information.
How long does setup take?
The time varies depending on the amount of information, integrations, and complexity of the operation. Companies with simple processes can start with a basic setup and expand automation later.
Does automation work outside business hours?
Yes. When active and properly configured, automation can respond to customers even when the team is unavailable.
Conclusion
Automatically responding to customers on WhatsApp goes beyond sending ready-made messages. A good automation should understand what the customer is looking for, consult updated information, and recognize when it’s necessary to involve a human.
Traditional chatbots remain useful in simple and predictable processes. AI agents, however, can offer more flexibility when customers ask diverse questions and use different writing styles.
Discover Whatsplaid and see how an AI agent can answer your company's most frequent questions on WhatsApp. Before starting, review the platform's features, plans, and current conditions.