Every connection request complete.Before the technical review starts.

Yes. Operaide runs on your own infrastructure, inside your security perimeter, even fully air-gapped with local AI models. It becomes part of your existing security management, and every run is traced.

Your grid planners. The app checks completeness and prepares the review. The technical assessment and the decision stay with your experts.

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.

Forms, scans, photos and attachments in any order, with handwritten entries, by email, portal or scanned post.

No. It prepares the case file and the request for what is missing. Your caseworkers decide, and every step is logged.

Through the interface of your claims, case or CRM system. We connect it in the project, so nobody has to type the case in.

Domain experts build no-code in the App Builder, and developers extend the apps in code in Operaide Studio. IT keeps control of AI models, data and access. If you like, our engineers build the first version with you, for example in the AI Bootcamp.

Commercial, European and self-hosted AI models: OpenAI, Anthropic, Mistral, Azure, Google, Amazon Bedrock, OpenRouter and more, or open-source models via Ollama or LM Studio. Your administrators configure them, and every step of an app can use its own AI model, chosen for its task.