ZANUS AI FOR AUTOMOTIVE — COMPLIANCE
A dealership holds credit applications, license scans from test drives, and a legal duty to prove recall notices went out. That calls for architecture, not promises: admin-created accounts, permissions to the field level, server-side redaction, a searchable audit trail — GLBA-conscious handling of consumer finance data, by construction.
Private tenant or your own server · unlimited users · GLBA-conscious handling

One record per user: role, tags, and granular permissions over every domain of the system.
The server redacts what a role cannot see — a salesperson checking a delivery slot sees the appointment, not the customer’s credit application in the same record.
Every recall notification — drafted, approved, sent — is on the searchable audit record with timestamps. When the OEM or a regulator asks, the answer takes minutes, not a file-cabinet week.
License scans and insurance details from test drives live under field-level permissions with retention you control — not in a photocopy tray behind the sales desk.
When the question comes — from a captive’s auditor, an OEM field rep or your own compliance counsel — the answer is a search away: access records, document trails, send histories, update logs, all in one place. And for captives and OEM programs that cannot let data leave the building, the identical OS runs air-gapped on hardware you own.

The architecture is built for GLBA-conscious handling: isolated tenants, field-level access, server-side redaction, full audit trail — and a fully on-premises option. Compliance specifics are reviewed with your counsel during onboarding.
In your isolated tenant — never training outside models — or fully on-premises on hardware you own, physically incapable of internet exposure.
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