Agentic AI for finance.On your own infrastructure.

Control over personal data and where it is processed. How Operaide supports it: Apps and their data are stored on your infrastructure. For each step of an app you choose which AI model processes the data and where it runs, fully local if needed.

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

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.

Only where you allow it. Typically it books clean matches within your tolerances, and your finance team releases the rest and decides on differences. Every step is traced, so you can show who released what.