Operated in the neuland.ai HUB
Under the same permission management as your agents, in EU data centers, on-premises or hybrid.
We develop it for your use case: with your data and systems, operated permanently in the neuland.ai HUB.
Example · Data flow in quote review
Results in practice
The company runs its own application in the neuland.ai HUB and reports:
60 to 70%
lower review effort per document

“We are now turning the several weeks of time we have gained into quality and higher productivity. The investment pays off from the very first order.”

Michael Schauerte
CEO of SVT GmbH
From use case to application
Data sources, integrations and the operating model are settled before development begins. The illustrations show the example of a quote review.
What makes your AI app
Not every workflow can be mapped with a standard agent. Then we combine a productive AI platform with targeted development where it is really needed.
Under the same permission management as your agents, in EU data centers, on-premises or hybrid.
It works with your data from systems such as CRM, ERP or DMS, via connectors and APIs.
When new requirements arise, your Customer Success team expands the application with you.
Go to Customer SuccessFields of application
The AI app taps content from heterogeneous sources, from the old document management system to cloud tools, and makes it searchable in one place, without replacing existing systems.
The AI app connects emails, documents and line-of-business systems into end-to-end workflows, even when systems are inconsistent and intermediate steps are done by hand today.
It supports decisions in regulated environments with a traceable, auditable analysis of your documents and data sources.
It takes on tasks within fixed guardrails and works across internal and external sources; write steps wait for a human's approval.
FAQ
It runs permanently in the neuland.ai HUB, in the operating model of your choice: in EU data centers, on-premises in your own infrastructure or hybrid.
That depends on the use case. We work iteratively, from the first prototype to productive use, and give you a time frame after the concept phase.
Yes. Already in the concept phase, we define data sources, integrations and the operating model so that the application fits into your existing system landscape.
We prepare the offer based on your use case. Individual development is an additional service, details in the pricing overview.
Where standard agents reach their limits, for example: making knowledge from long-established systems usable, automating processes despite legacy IT, supporting decisions in regulated environments and taking on tasks that the AI completes on its own within fixed guardrails.
We check that with you: you describe the workflow and the systems involved, we clarify whether a standard agent is enough or a dedicated AI app is needed, and propose the first step.
No. It works within fixed guardrails; write steps wait for a human's approval.
When new requirements arise, your Customer Success team expands the application with you.
We review it with you and show how a dedicated application takes it over.
After your request