Two requirements usually presented as incompatible
General-purpose AI tools answer business questions in exchange for sending the data to third-party infrastructure. For organisations with confidentiality, regulatory or competitive constraints, that trade is not acceptable.
The alternative is not to give up the capability. It is to demand five design conditions.
1. Runs on the client's infrastructure
Own servers or private cloud. No third-party software as a service and no data in transit to the outside. Compute is sized to data volume and user count.
2. Trains no external models
Company data feeds no one else's model. The model that answers belongs to the organisation and reasons only over its own unified model.
3. Permissions per person and per area
Finance queries finance; operations queries operations; leadership queries the whole company. Access is granted per person and every query is recorded.
4. Immutable audit log
Who asked, what they saw and what was triggered. A signed log, available to the compliance team, with no exceptions.
5. No action without human approval
Alerts and reports are generated on their own. Any action on a source system requires explicit approval from an authorised person.
These five conditions define what we mean by a closed system. They are the starting point of every Neuroo deployment.
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