AI chatbot development company: how to choose one.

What a chatbot development company actually builds

The same label covers three kinds of company: some configure a ready-made chatbot platform for you, some connect such a platform to your tools, and some write the chatbot as their own software and host it. All three can be the right choice; what matters is that you know which one you are buying, because it decides who can change the bot later, where the conversations are stored and what happens if you leave.

A chatbot answers. Once it also acts — books a table, updates a customer record, sends a payment link — it is closer to an AI agent, and the questions about permissions and logs in our guide to choosing an AI automation agency apply in full. This article covers what is specific to a bot that talks to your customers.

Your business answers for what the bot says

Language models can produce text that sounds right and is not. The OWASP Top 10 for LLM Applications (2025) lists this as LLM09, Misinformation, and defines hallucination as the model generating “content that seems accurate but is fabricated”. Its first example is Air Canada, whose chatbot gave travellers wrong information: OWASP notes that “the airline was successfully sued as a result”.

The mitigations OWASP lists are the ones to ask a vendor about: retrieval-augmented generation, so the bot answers from verified data you supply; cross-verification and human oversight; and telling users clearly what the bot can and cannot do. In plain terms, ask two questions. What does the bot answer from? Your website, your documents, your booking system — and who keeps that source up to date. What does it do when the answer is not there? A good bot says it does not know and passes the conversation on; a bad one improvises.

What a chatbot costs to run

Whatever the build costs, a live chatbot has running costs, and a serious vendor can split them for you.

• The model. Model providers bill per token, the pieces of text the model reads and writes. Anthropic's pricing page, for example, lists separate prices per million input tokens and per million output tokens for each Claude model, with output priced higher than input. Everything sent to the model with each message counts as input: the instructions, the extract of your content, the conversation so far. A bot that sends your whole website with every question costs more than one that sends the relevant part.
• The channel. A website chat costs nothing per message beyond your hosting. WhatsApp does: Meta charges per delivered message from the business, by message category and by the recipient's country code, and does not charge for messages from users. A chatbot's replies inside the 24-hour customer service window are service messages; since 1 October 2026 each business phone number gets 1,000 free service messages a month, and Meta charges for the rest. The rates for Indian numbers are in our article on WhatsApp Business API pricing in India.
• Hosting, monitoring and changes. Someone keeps the bot online, watches its answers, updates its content and adapts it when a model or an API changes. Ask whether that is included, billed by the hour or not offered at all.

How we build chatbots

We are one of the companies you might compare, so here is how we answer our own table. The chat assistant on takat.ai answers from our own website content and books a call in the conversation. Our agents are written as code, tested, versioned in git and deployed as containers, so they can be reviewed, rolled back and moved. Every WhatsApp AI agent we build runs on Meta's official platform with a daily usage cap, a dry-run mode, an off switch, human handover and a log of every action — more on our AI agents and automation work.

For a restaurant group in South Africa, for example, the WhatsApp booking assistant writes into the same booking system the hosts use, and the project is labelled with its real stage: in production, pilot phase — see the restaurant booking platform.