Simplify access to business data
Ask a question instead of navigating between screens and filters.
Our product · Bobby
Bobby is our business AI assistant. We designed it, built it and put it into production at Etixio: our teams query our ERP in plain language instead of clicking through screens. It is the AI we deliver to our clients, applied to ourselves first.
In production at Etixio
Conversational assistant connected to the ERP
Our teams
Large language model (LLM), ERP integration, conversational UX
Where we started
Active projects, logged time, time off, sales follow-up: the information our teams need lives in our ERP. Finding it still meant several searches, filters or exports.
Rather than adding another screen, we built an assistant: you ask the question, it fetches the answer from the ERP.

The challenge
Ask a question instead of navigating between screens and filters.
The answer must come from the ERP, not from the model’s general knowledge.
Each employee must only see the information they are entitled to, especially for HR data.
A simple interface built around the user’s question, with no change to how people work.
The user asks for the information they need in plain language.
The request is turned into a lookup of the ERP data.
The answer is shown in the conversational interface.
What we built
We ran Bobby like a client project, from scoping to production. Each step produced a concrete deliverable, from selecting the use cases to an assistant connected to the ERP and used by our teams.
Identifying the most frequent questions, the information to make accessible and the access rules.
An interface built around the user’s question and the readability of the answer.
Building the assistant and connecting it to the ERP’s business data.
Access project tracking information.
Check your own HR data available in the ERP.
Find the data needed for sales follow-up.
Examples of questions from the areas Bobby covers.
Team and organization
Bobby was designed and built by our own engineers, with the same practices we use on client projects: use case scoping, code review, testing, secrets management and separate environments.
Because we use it ourselves, we see its strengths and limits every day. That hands-on feedback directly shapes the choices we make on the AI projects we deliver for our clients.
Technologies used
Bobby pairs a large language model (LLM), which understands the question and phrases the answer, with a connection to the ERP data, which supplies the actual information. The assistant’s quality depends as much on this integration as on the model: it is what lets the answer rely on company data rather than on what the model “knows.”
The ERP’s access rights also apply to the assistant: each employee only sees the information they are already entitled to, such as their own time off. The conversational interface was designed in its own right, so that both question and answer stay readable in everyday use.
Outcome and current status
We apply the same approach to our clients’ projects, such as the medical AI agent built for a hospital, and to taking AI POCs to production.
Frequently asked questions
Bobby is our conversational AI assistant. We designed it, built it and put it into production at Etixio. Connected to our ERP, it lets our teams get business information by asking a question in plain language, without clicking through screens, filters or exports.
No. It is our own product, used by our teams. We ran it like a client project, with the same engineering practices, and it serves as a day-to-day testing ground for the AI we deliver to our clients.
Business information in our ERP, including project tracking, HR data such as time off, and information used for sales follow-up. Each employee only sees the data they are already entitled to in the ERP.
The language model interprets the question, then the assistant queries the ERP data and returns the result in the conversational interface. The answer is therefore based on company data, not just on the model’s general knowledge.
Yes. That is what our enterprise AI solutions and AI agents and chatbots are for, from use case scoping through to production release.
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