When you decide to build a bot, the first decision is the type. And the wrong choice here costs you time and money on something you do not need.
1. The rule-based bot
The simplest and most widely used: it runs on buttons and defined options. The customer picks from a menu and the bot replies with a prepared answer.
- Advantages: cheap, quick to build, and entirely predictable — it will not say anything wrong.
- Drawbacks: limited. If the customer types something outside the options, the bot gets lost.
- Suits: recurring questions, fixed information, and routing the customer to the right department.
This is the type I recommend most small companies start with, because it solves eighty percent of the problem with twenty percent of the effort.
2. The language-understanding bot
It uses language processing to understand what the customer wrote in their own words and reply appropriately, without buttons.
- Advantages: a more natural experience, and it handles different phrasings of the same question.
- Drawbacks: more expensive, needs training and data, and can misunderstand.
- Suits: companies with a large and varied volume of messages.
3. The generative AI bot
The newest type: it generates the reply based on information you give it about your company.
- Advantages: answers questions you did not anticipate, in very natural language.
- Drawbacks: it can invent information if not constrained, needs review, and costs more to run.
- Suits: companies with a lot of content needing to answer complex questions.
If you use this type, set strict limits: answer only from your sources, say "I'm not sure" rather than guess, and hand over to a human quickly.
4. The bot connected to your systems
Not a standalone type, but an important distinction: the bot connected to your orders, stock or bookings system.
This is the one that can tell the customer their order status, book them an appointment, or tell them whether a product is available. And it is the highest value, because it completes the request rather than merely answering.
Which do you start with?
Always start with the simplest. Build a rule-based bot covering the five most common questions, run it for a month, and see the messages where it stalled.
Those messages tell you whether you need to progress to a more intelligent type, or whether rules are enough. Most small companies discover rules are enough.
On which platform?
Pick the place your customers actually message you on — in Egypt that is usually WhatsApp and Messenger.
Do not build a bot on your website if nobody visits the website. The place matters more than the technology.
Personality and tone
Have the bot speak in your company's style, and make clear from the first message that it is an automated reply.
People are not annoyed by bots; they are annoyed when they discover they were talking to a machine while believing it was a person. Clarity prevents that entirely.
In short
There is a simple rule-based bot, a language-understanding bot, a generative one, and one connected to your systems. The first covers most small companies.
Start with the simplest on the platform your customers use, cover the five most common questions, keep the exit to a human clear, and develop later based on where it stalled.
This is part of a series on automation — which also covers building a bot in practice, and when to use email automation.