AI Chatbot Development Services
Chatbots that answer from your own documents and data, show their sources and hand off to a person when they should.
Answers from your knowledge, not guesses
Our AI chatbot development services build assistants that answer from your knowledge, not the open internet. With retrieval-augmented generation (RAG), the chatbot finds the right passages in your documents and data, answers with its sources, and passes the conversation to a person when it isn't sure.
We build support bots for your customers, knowledge assistants for your team and sales assistants for your prospects. If the bot should take actions as well as answer, it's an AI agent.
A good fit if you
- Answer the same customer questions every day.
- Have a help center, policy library or product docs that are hard to search.
- Want staff to find internal answers without asking a colleague.
- Work in healthcare or real estate and need answers grounded in approved content.
What we build
Customer support bots
Answer common questions from your help content and hand harder cases to your team.
Knowledge assistants
Let staff ask questions across policies, wikis and documents in plain language.
Sales assistants
Answer product questions and qualify leads, then pass warm ones to your sales team.
RAG pipelines
Your documents split, indexed and kept in sync in a vector database.
Source citations
Every answer points to the passage it came from, so people can check it.
Human handoff
The bot passes the conversation, with its context, to a person when it should.
How we build a chatbot
Step 1: Gather the content
We collect the documents and data the bot may answer from.
Step 2: Build the retrieval
We index your content so the bot finds the right passages fast.
Step 3: Test real questions
We test it on questions your customers or staff actually ask.
Step 4: Launch and improve
We review conversations, fill content gaps and keep the index in sync.
AI Chatbot Development FAQs
Something else on your mind? Ask us directly.
Can a chatbot answer from our own documents?
Yes, that's what RAG is for. We index your documents, help articles or records, and the chatbot answers from them and cites the source, instead of relying on what the model learned elsewhere.
What is RAG, and why does a chatbot need it?
RAG, or retrieval-augmented generation, means the chatbot looks up relevant passages in your content before it answers. It keeps answers current and specific to your business without retraining a model.
How do you stop the chatbot from making things up?
We have it answer only from retrieved content, show the source and say when it doesn't know. We test it on real questions before launch and review conversations after.
Can the chatbot hand a conversation to a person?
Yes. When it's unsure, or the customer asks, it passes the conversation to your team with the context, so nobody has to repeat themselves.
Tell us what your chatbot should know. The first consultation is free.
