On-premise AI that runs inside your environment.

On-premise AI is AI that runs inside infrastructure you control — your own servers, your private cloud tenant — instead of a vendor’s SaaS platform. The models and agents execute where the data already lives: nothing is copied to a third-party cloud, and data-residency rules are met by construction. In practice, most deployments are hybrid — on-prem AI for the systems that can’t move, like an on-prem ERP, connected to a private cloud tenant for compute. What defines on-premise AI is not where the chips sit but who controls the perimeter: your environment, your security policies, your data. A person still reviews the exceptions the rules reject — on-premise describes where the AI runs, not whether anyone is watching. For a company running SAP on-prem with decades of history it can’t relocate, on-premise AI is the difference between using AI and watching a demo of it.

Yes — that is the normal case. The agents connect to what is already there: the ERP database and application layer, file shares, mailboxes. Modern ERPs, including on-prem SAP S/4, expose the interfaces agents read and write through. Where an interface does not exist, agents work at the document level — reading exports and PDFs the way a person would. Nothing needs to move to the cloud first.

Not necessarily. Most deployments are hybrid: data and connections stay in your environment while model compute runs in your private cloud tenant — your Azure, under your agreement. Where compute must stay on-prem too, open-weight models you choose and can name run on modest hardware. The architecture follows your residency rules, not the reverse.

You do. The agents, the encoded rules, and the documentation are your IP, deployed in your environment from day one. There is no license to renew and no dependency on our infrastructure — support stays available, but the system is yours.

It starts with one workflow, inside your perimeter, against your real data — the quoting desk is a common first. You watch the agents run against your ERP before anything scales. Skepticism is the right posture; the proof is a working system under your roof, not a demo on clean SaaS data.

No — the agents meet the systems where they are. If an ERP move is on your roadmap, AI built in your environment comes with you; our ERP-migration insight covers how the two fit together. Waiting for a clean future state is how the manual work wins.