Report done before the van leaves.From notes and photos, signed on site.

Yes. The app drafts the report from the technician's notes, photos and the work order. The technician checks, completes and signs it.

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. Operaide separates organisations, controls access through roles and gives every app instance its own database, so customer data and knowledge bases can be kept apart.

No. The app works with recordings, typed notes and photos. If you record, everyone in the meeting agrees first, and the recording can be deleted once the record is saved.

In your CRM, file, case or maintenance system, through its interface. Nothing is saved until your team has checked the draft.

It works in German, English and many other languages. Your product names, customers and abbreviations are added, so the drafts use your words.

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.