Agentic AI for telecommunications.On your own infrastructure.

Risk management and incident reporting. Providers of public electronic communications networks and services are in scope. How Operaide supports it: Runs inside your security perimeter, with SSO, roles and step-by-step tracing. You decide when updates are installed.

Customer and connection data are specially protected, including the content and circumstances of communication. How Operaide supports it: Apps and their data are stored on your infrastructure, and with local AI models no customer data leaves your network. You decide which data goes to which model.

Transparency, documentation and human oversight for the AI systems you use. How Operaide supports it: Step-by-step tracing of every run, human approval steps, and Audits: an EU AI Act assessment for every app.

Your team. The app checks and prepares. Exceptions, credits and goodwill decisions stay with people, and every step is traced.

A first version of a simple app runs within hours, a complete one within days, depending on the systems you connect. In the AI Bootcamp your teams build their first apps with us in five days and roll them out.

Yes. There is no connector catalogue to wait for: each connection is built for your system through REST or MCP, including ERP, CRM, EDI, portals, older and in-house systems. Connections are set up once in the platform, and your apps read and write through them with the access rights you set, without secrets in the code.

Only if you decide so. Operaide runs on your own infrastructure, and for each step of an app you choose the AI model: a local model on your own hardware for data that must not leave, or a frontier model in your cloud tenant. An app can also use a local model to remove personal data before anything reaches a cloud model. Every run is traced, so you can see which data went where.

Yes. The apps process requests, orders and documents in parallel, so peaks such as a busy season or the hours after an outage don't need extra staff. Each app runs in its own process and can get its own Docker container, for maximum scalability. Your team only handles the cases the app flags.