Orders in the ERP, not in the inbox.Checked against your master data.

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.

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.

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.

No. Operaide also runs air-gapped, as captive AI without any internet connection: with self-hosted AI models, and the aggregated usage metrics sent as a file instead of over a connection. In connected setups, Operaide sends these metrics to the Operaide audit service once a day.

Only where you allow it. Typically clean orders go to the ERP after one click from your team, and orders with deviations wait for a person. Every step is logged.

The app marks them and proposes the closest match from your master data. A person decides, and the decision can become a rule for next time.

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.

Yes. The apps read emails, PDFs, Word and Excel files, scans, faxes and photos, including tables, handwriting and stamps. How well depends on the AI model behind the task, and today's models are very good at it. Documents the app is not sure about are flagged for a person to check.