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Best Chatbot Developers

Updated 2026-09-26

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A chatbot can answer common questions, book appointments or qualify leads at any hour. It can also give wrong answers with confidence, frustrate customers who want a person, or leak data it should never see. This guide helps you set up a chatbot project with clear limits and a way to hand over to a human.

We are finalizing our shortlist for this service. Until then, the guide below walks you through how to evaluate sellers yourself.

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What a good chatbot project includes

Chatbot gigs range from a simple FAQ bot on a website to AI assistants connected to your booking system or store. The project should state:

Type: rule-based, AI-based, or a mix.
Channels: website, WhatsApp, Messenger, Instagram or others.
Knowledge: which documents, pages or data the bot will use to answer.
Actions: what the bot can do, such as book, collect details or check an order.
Human handover: how a user reaches a person, and how you are notified.
Testing: a list of test questions and results before launch.
Accounts and costs: which services are needed, in whose name, and what they cost to run.
Handover: admin access, documentation and how to update the bot's answers yourself.

How to brief a chatbot developer

The job: the three to five things the bot must do well.
The questions customers ask most, with your approved answers.
What the bot must not do: give prices it cannot confirm, legal or medical advice, or promises.
Channels and the systems it must connect to.
Tone: formal, friendly, short or detailed.
Handover rules: when to pass the chat to a person, and during which hours.
Data rules: what may be collected and how long it is kept.

Start small. A bot that answers ten common questions well is more useful than one that tries to handle everything and gets some of it wrong. Add tasks once the first version works.

After launch, read a sample of real conversations every week for the first month. You will quickly see questions the bot handles badly, answers that need updating, and moments when users give up. Ask the developer to make these conversations easy for you to review.

What drives the price

rule-based versus AI-based
number of channels and connected systems
amount of content the bot must learn from
actions such as bookings, payments or order lookups
testing, monitoring and support after launch
ongoing costs of the AI and messaging services, paid separately

Red flags

Promises that the bot will answer every question correctly or replace your support team.
No human handover option.
Accounts for the AI or messaging service created in the developer's name.
No test plan, or no list of what the bot should refuse to answer.
Vague answers about where conversation data is stored.

For AI features beyond a chatbot, such as custom tools or automations, see our AI development guide. If the bot lives on your website, our website development guide covers that side.

Quick pre-order checklist

I have listed the main tasks and my approved answers.
I have written what the bot must not say or do.
Users can always reach a human.
All service accounts will be in my name with spending limits.
I know what data is collected and where it is stored.

FAQ

What is the difference between a rule-based and an AI chatbot?

A rule-based chatbot follows fixed menus and answers you write in advance. An AI chatbot uses a language model to understand free text and write replies, often based on your own documents. Rule-based bots are predictable; AI bots are more flexible but need careful limits and testing.

Where can the chatbot run?

On your website, in messaging apps such as WhatsApp, Messenger or Instagram, or inside tools like Slack. Each channel has its own setup and rules, so list every channel you need in the brief.

Who pays for the AI and messaging costs?

Usually you do, directly to the AI or messaging provider, based on use. Ask the developer to set up these accounts in your name, explain the running costs, and set spending limits.

How do I stop the chatbot from making things up?

Give it a limited set of approved information, tell it to say when it does not know, and test it with difficult questions before launch. A clear way to reach a human is essential.

What about customer data and privacy?

Decide what the chatbot may collect and where conversations are stored. Tell users they are talking to a bot, and check the privacy rules that apply to your business and your customers' countries.