How to choose a bot scenario, prepare answer sources, and pass requests with context to an employee.
Choosing a bot starts with a conversation that repeats in your company. A customer asks about a product, an appointment or a quote. An employee clarifies a few details and determines the next step. To automate part of that conversation, first describe the outcome it should produce.
The right channel for a company in Kazakhstan may be WhatsApp, Telegram or its own website. But choosing a messenger does not determine the scenario by itself. It is more important to understand what the bot must learn, where answers come from and when to hand the conversation to a person.
Start with one outcome
Take a hypothetical request: “I need a quote for a new site.” To proceed, a manager may need the product type, quantity, deadline, and contact details. The exact list depends on the business; this is an illustrative example, not a ready-made rule for every company.
Describe the result like this: “The employee receives a request with the required fields completed and a history of clarifications.” It then becomes easier to decide whether you need buttons, free-form dialogue, or a combination.
When buttons and rules are enough
If there are few options and each step is unambiguous, you can build a sequence of questions. The customer chooses a category, enters a quantity and leaves contact details. This scenario is easy to test: the next step is known in advance for every choice.
Buttons are useful where you need to avoid different spellings of the same value, such as choosing one available service. But it is difficult to anticipate every wording and exception. Even a clear scenario therefore needs an exit: ask a custom question or move to an employee.
Where AI can help
AI is worth considering when people describe a task in their own words, combine several questions or clarify a previous answer. It can help interpret the text and form a response using agreed materials.
The model must not become the only source of prices, availability and terms. Such information needs a current source and a rule for what happens when it is unavailable. If data is missing, the correct next step is to explain the limitation or pass the question to an employee, rather than fill the gap with an assumption.
Prepare sources and boundaries
Before development, prepare a short working table:
- which questions repeat;
- where the correct answer is located;
- who is responsible for updating information;
- which fields are required in the enquiry;
- which actions the bot is allowed to perform;
- when the conversation should be handed over to a person.
Use anonymized examples. The first discussion does not require passwords, conversations containing customers' personal data, or access to every company system. A description of the process and services used is enough to start.
Test the handover to an employee
A useful bot outcome is more than a message to the customer. Look at what the manager receives: the question, answers to clarifications, the selected product and a convenient way to continue the conversation. If the employee has to start over, part of the value of automation is lost.
Decide separately what happens outside working hours or when the responsible person is unavailable. The text should describe the real handling procedure rather than promise an instant response when that is not possible.
Test ordinary and complex inquiries
Prepare test conversations: a complete request, incomplete information, an unknown price, a change of topic and an explicit request for a person. Add a connection failure or an unavailable product. Write down the acceptable outcome for each example in advance.
Assess more than fluent wording. Check that required fields are collected correctly, no invented conditions appear and the employee receives the necessary context. The ability to write to CRM or a calendar is tested separately for the specific system and permissions.
On the page GIFS chatbots the operating options and launch stages are described. To discuss your bot, send three recurring questions without customer data, name the communication channel, and explain what the employee should receive at the end of the conversation.