Vehicle import operationsBuilt and run
WAH AI system
Internal platform on company data, with approval gates
WAH’s internal AI operations system: isolated backends per department, approval gates on every outbound action, read-only access to production data.
The problem
Departments wanted AI working on real company data — CRM, finance, mail, documents.
Unchecked model access to production systems and outbound email was not acceptable. It had to be useful and safe by construction.
What we built
- 01
Isolated per department
Each department runs as a separate system user with its own knowledge base and file scope, behind a portal with a role × department access matrix.
- 02
Gated actions
One policy hook checks every tool call. Mail is written as drafts until a person approves the send, and databases are reachable read-only.
- 03
Scheduled operations work
Morning operations digests, recordings turned into formal meeting minutes, persistent reminders, document generation and an accounting connector.
What runs now
We run it in production for staff.
CI runs an access-control test harness before every deploy; production deploys need a manual gate and can roll back.
Facts
- Every outbound email stays a draft until a person approves it.
- Data
- Production databases are reachable only through read-only connectors.
- Access
- A role tier × department matrix, managed from the interface.
Related
Next step
Tell us where it is. A short call about what you have, what blocks launch and whether we are a fit.
No pitch deck. A straight answer on what's blocking your launch.