AI chatbots for startups

What a startup actually needs from a chatbot

Early teams get the same questions again and again: what does it do, how much does it cost, does it integrate with this tool, how do I reset my account. Founders answer them by hand, which takes time away from building. A chatbot that answers from your docs clears the routine questions and brings the odd lead to your inbox. For a team of five, the saving is not a headcount. It is the founder's afternoon, which is the most expensive resource the company has.

The general approach is on our AI chatbot development page. If your documentation is large and changes often, a RAG chatbot is the technical design behind a good answer.

Where the answers come from

A chatbot is only as good as its sources. Early-stage companies tend to have a spread of rough material. We help you pick the sources that are reliable and leave out the rest.

Three jobs, one bot

• Support: answer from the docs, cite the page, and offer a ticket when the answer is missing.
• Sales: ask two or three qualifying questions, share the right plan, and book time with a founder or rep.
• Onboarding: guide new users through the first steps and point to the right guide.

We recommend starting with one job, and choosing it by looking at where your founders lose the most time this month. Support deflection and lead capture are the two common choices. Starting narrow makes testing simpler, and you can add the second job after you see real conversations.

Build, buy or mix

Several off-the-shelf tools offer chat on top of your docs, for example the AI features in Intercom, Zendesk or Crisp. For a small team they are often the fastest start. A custom build makes sense when you need control over the data and the workflow, a deep link into your product, or when per-resolution pricing becomes more expensive than a fixed build. Our custom AI versus off-the-shelf comparison lays out the trade-offs, and the build versus buy guide goes further. We will say if a tool you already own is enough.

Whatever you choose, keep the accounts and the data in your name. Ask any supplier, us included, how you would leave: where the content lives, how you export conversations, and what happens to the prompts. A short answer to those three questions tells you a lot about the supplier.

Safety and accuracy

• The bot cites the page it used and says when it does not know.
• It does not promise features on the roadmap or give legal, security or pricing commitments beyond published pages.
• It hands off to a person with the full conversation.
• Customer data is minimized. Chat logs are kept for a period you choose.

Price

Projects start at $1,500, and our rate is $30 an hour. A support chatbot on one set of docs with a handoff to email or Slack is near the low end. Product login integration, several languages and a CRM link add hours, and the quote shows each one as a separate line so you can decide later which to add. We give a fixed quote within one working day of a short call. Model usage costs are billed by the provider and scale with chat volume. See the chatbot cost guide for the full list.