
Enterprise AI Implementation Platform
Enterprise AI Implementation Workbench
Workbench reads project requirements and uploaded documents. It drafts a cited plan, and a manager reviews it before the app creates tasks.
- The app searches only the current tenant's requirements and documents. pgvector finds the relevant passages. Zod checks the draft and gives the model one repair attempt when the shape is wrong.
- Four roles control what each person can see and do. PostgreSQL RLS adds a database check. A manager must approve the plan before it becomes tasks.
- Files go to S3 and jobs run through SQS. Failed jobs retry before moving to a dead letter queue. The app keeps an audit record and tests 15 cases across three prompt versions.
The demo uses seeded synthetic data and fixed test cases.


