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Usually they use it privately, uncontrolled, and with company data in it. That is not a discipline problem, it is a tooling problem. Your people already know the interface; the difference is everything happening behind it: the data stays in the EU, it is not used to train models, roles and permissions work as in the rest of your IT, and every answer names its source.

A chatbot answers questions from its training knowledge. Ziya One's agents work with your data and inside your systems: they read documents, access ERP and CRM, and complete entire work steps, with roles, permissions and citations.

Your choice: in ISO 27001-certified EU data centers, on-premise in your own infrastructure, or fully air-gapped without internet connection. Your data is never used to train models, and a data processing agreement says so, not just a toggle in a profile. There is no seat minimum.

Roles and permissions work as in the rest of your IT: sales sees sales documents, HR sees its own. Every answer names the source it came from.

No. Ziya One is model-agnostic: GPT, Claude, Gemini and open models are interchangeable, even retroactively. Which model handles a task is a setting, not a migration. You stay independent of individual vendors and can always use the best model for each use case.

Typical first use cases such as an internal knowledge system or a report agent are productive within two to six weeks, because the platform already provides connectivity, permissions and operations.

Costs depend on scope, deployment model and the number of use cases. In a free initial consultation the Ziya team clarifies your needs and gives you a concrete estimate.