Every warranty claim checked.Against terms, labour times and part prices.

No. Operaide is software you run yourself, not a service, so it has no TISAX label of its own. It runs inside your infrastructure and security controls and can be part of your own TISAX assessment, with every run traced as evidence.

Yes. Dealers and workshops get their own access, with roles per dealer or region. Sign-in runs through your identity provider via OpenID Connect, for example Microsoft Entra ID.

Your specialists. The app checks and flags, and you set which cases go through automatically and which need a person. Every decision 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 where you allow it. The app checks and flags, and your team decides on the deviations. For clear cases you can let it approve automatically, and every step is logged.

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.

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.

They go to a person, marked as unclear. You decide where the app works on its own and where it asks for a check. Your team's decision can become a new rule for next time, and every step is traced.