An AI assistant on your company's data
Manuals, procedures, contracts and ERP data searchable with a single question, in an environment that stays under your control.
What you get
An AI assistant that knows your company: it answers in natural language on manuals, procedures, technical sheets, contracts, price lists and ERP data. Users find in seconds information that today means searching through folders or asking the expert colleague.
Use cases
- Engineering: «What tolerance is specified for this component?»
- Sales: «What terms did we agree with this customer last year?»
- Administration: «Which invoices from this supplier are still open?»
- New employees: «How do we handle a return according to our procedure?»
Where the data stays
It's the first question, and you decide the answer. We offer three architectures:
| Solution | When it fits |
|---|---|
| Dedicated cloud | Quick start, no hardware to manage, an environment reserved for your company. |
| Hardware in a data centre | The company buys the server, hosted in a data centre: maximum control without on-site management. |
| Servers at your premises | For data that must not leave the company, even without connection to external services. |
In every case, access to information follows the permissions you define: each employee sees only what they are authorised to see.
How the project works
- Together we choose the documents and data to include and who can consult them.
- We define the architecture based on the level of confidentiality required.
- We prepare the assistant and test it with a group of users.
- We roll it out to the rest of the company and keep it up to date.
The cost depends mainly on the chosen architecture and the volume of documents: we set it after the analysis, using the same return-on-investment criterion.
FAQ
How is this different from employees using ChatGPT?
ChatGPT used individually helps a single person write or summarise. We bring AI into the process itself: it reads incoming documents, enters data into the ERP, applies checks and logs every operation, with data access rules set by the company.
Which artificial intelligence models do you use?
We don't tie ourselves to a single provider: we choose the model for the task, because some perform better on text and others on analysing data and figures. When data must not leave the company, we use models running on dedicated or in-house servers.
Where does our company's data end up?
You decide. We offer three options: a dedicated cloud, hardware bought by the company and hosted in a data centre, or small servers at your premises. The choice depends on how isolated the data must remain from external services. How we protect data.
Is our data used to train AI models?
No. We use professional services and configurations in which the data sent is not used to train models, or models installed on dedicated servers.
Let's start with a process that costs you time
In 30-50 minutes we look at how you work today and tell you whether and where automation pays off, with an estimate of the hours you could recover.
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