Quick answer: start with one repeated task, a source of answers reviewed by your team, and a clear path to a person. A WhatsApp chatbot works best when it can recognize what it does not know and preserve context for the next agent.

1. Choose one specific problem

Review real conversations and write down ten frequent questions. Separate those with stable answers —opening hours, service availability, or how to request a quote— from questions involving negotiation, sensitive information, or exceptions. The first group is a good starting point. The second needs a human route from the outset.

2. Prepare the information the bot can use

Gather current answers, opening hours, services, policies, and links approved by the business. Assign someone to keep them up to date. If a price or condition changes, the bot’s information must change too. Piyi AI uses knowledge configured for the business; the quality of that knowledge shapes the first response.

3. Design the handoff to an agent

Define escalation signals: a request to speak to someone, a question without a reliable answer, a complaint, a negotiation, or a case outside the agreed scope. Decide what to collect before the handoff —for example, a name, reason for contacting you, and product of interest— and what the agent will see when the chat arrives. In Piyion, the team can continue the conversation and organize contacts and opportunities in the CRM.

4. Test before opening it to everyone

Test questions phrased in several ways. Include incomplete messages, spelling mistakes, after-hours inquiries, and requests that should reach a person. Check whether the bot uses correct information, avoids making up an answer, and passes enough context to the agent. Improve the knowledge and test again.

5. Measure the actual work

Review which questions are resolved, which are handed over, where people leave, and which conversations need sales follow-up. Use those cases to improve answers and assignment. Do not judge success by the number of automated messages alone: a well-handled conversation that the team can continue matters more than a long menu.

Illustrative example

A business receives repeated WhatsApp questions about opening hours and quotes. The bot answers the opening-hours question using approved information and asks which service is relevant. When the customer requests a specific quote, it hands the chat to an agent with the service and conversation history. The agent confirms details and records the next step in the CRM. This is an example of a possible workflow, not a measured customer result.

What to confirm before activating Piyi

  • Channels included in the plan and implementation requirements.
  • Who validates and updates the knowledge base.
  • When the conversation goes to a person.
  • What information the bot may collect and which data it does not need.
  • Who will review errors, answers, and opportunities after launch.

To see the product workflow, explore Piyi AI for WhatsApp. To decide when automation is useful, read when a chatbot helps and when it gets in the way. Setup, available channels, and costs depend on the plan and use case.


Prepare the messages around automation

A welcome message should identify the channel and request only necessary context. An away message should set realistic expectations. See the welcome and away examples and define the human handoff. Test an unanswered question and an explicit request for a person.


Resolve budget and entry point before launch

Review free WhatsApp chatbot conditions and separate a trial from operating costs. For website inquiries, see how to connect WordPress with a WhatsApp button. The button opens the channel; automation is configured in its own workflow.

Benefits to evaluate

Measure correctly resolved questions, contextual handoffs and requests receiving follow-up. Record wrong answers and abandonment too. Compare equivalent periods before attributing improvement to automation.