Your business.
A new kind of
intelligence.

With a specific process: what happens today, where time is lost and what outcome you need to improve. We then assess the data, the systems and how to measure progress. We can start with a focused pilot.

A chatbot holds conversations. An agent can use tools to perform tasks. MCP is a standard way to connect AI applications with tools and data. We choose the combination your operations need.

RAG retrieves information from your documents and uses it as context to answer questions. It is useful for consulting manuals, policies or internal knowledge with references to the sources. Its quality depends on the available information and on testing the solution.

First, we review what you already use. Where feasible, we connect and extend your systems. The possibilities depend on their APIs, available access and technical conditions. If modernization is needed, we propose a phased approach.

We define authorized sources, role-based permissions and activity logs. We choose the architecture and providers according to the sensitivity of your data and the project's needs. These controls are agreed before implementation.

AI can make mistakes. We include testing, validation, references and human review as appropriate for each task. Important actions may require your approval before they are carried out.

That depends on the process, integrations, volume and controls required. We first define a specific scope, deliverables, and implementation and operating costs. This gives you the information you need to decide before moving forward.