
STEP 1
STEP 2
STEP 3



Works in a closed network. Your data stays inside.
Role-based access control
Permissions by rank and department. Two-factor authentication for everyone.
No external model training
Your documents are never used to train outside AI models.
Encrypted at rest and in transit, with separate backups.
Deletions and material changes run only after approval.
Every access logged. Abnormal activity flagged immediately.
Can we roll this out without an IT team or developers?
Can this be applied even if our document formats aren't standardized?
How long from sign-off to go-live?
Is there any possibility of our company documents leaking outside?
Do you keep managing it after rollout?
How do we correct results the AI has read incorrectly?
Can we run a pilot first with one department or one type of document?
Blog

AI adoption guide
Responding to an OEM cost reduction (CR) notice
our ways to respond, in five steps: recalculating target cost, consolidating re-quotations, reporting results.
Jun 01, 2026

Technology
Why AI doesn't understand how your company works
Pooling your data in one place isn't enough. An ontology maps the meaning between data points.
May 08, 2026












