AI chatbots that answer from your company data

Custom chatbot development services on your own knowledge

Generic chatbots answer from what a model learned on the internet. Your customers and colleagues need answers from your price lists, policies, manuals and past tickets. Our custom chatbot development services start by collecting those sources, finding who owns each one and removing content that is out of date.

The assistant then retrieves the relevant passages for each question and answers from them, with a link to the source. When the documents change, the assistant’s answers change with them, without retraining a model.

AI chatbot development services for support teams

For customer support, the assistant answers routine questions at any hour: order status, delivery times, returns, how to use a product. It asks for the details it needs, checks them against your systems where an integration exists and creates a ticket when a person has to step in.

The handoff matters as much as the answers. The support agent receives the full conversation and the sources the assistant used, so the customer does not have to repeat anything.

Assistants in Microsoft Teams, on your website and in WhatsApp

Employees get the assistant where they already work: in Microsoft Teams, answering questions about HR policies, IT procedures or project documentation, with Microsoft 365 permissions respected. For organizations that manage their assistants in Microsoft 365, we can build them on Microsoft Copilot Studio.

Customers reach the same knowledge through a widget on your website or customer portal, or through WhatsApp for businesses whose customers prefer messaging. Each channel has its own tone and scope, but the sources and rules are shared.

Conversational AI consulting before you build

Not every question should be answered by an assistant. We look at your real conversation data and sort questions into three groups: ones the assistant can answer from documents, ones that need a system lookup and ones that must go to a person. That split defines the first release and shows where your knowledge base has gaps.

We also recommend the build approach. Assistants built on OpenAI and Claude models suit most cases; chatbots built with Botpress suit teams that want to edit flows visually; self-hosted models suit data that must stay in your environment.

Measured answers, not a demo that impresses once

A chatbot can look good in a demo and still fail on the questions people actually ask. We keep a test set of real questions with expected answers, run it before every change and review flagged conversations on a regular schedule. As an AI chatbot development company we treat the assistant as a product that improves, not a launch that ends.

For assistants that also take multi-step actions across your systems, see AI agent development. For moving data between tools without a conversation, see AI automation.