Teams reduce repetitive entry while preserving company scope, review accountability, and a traceable expense record.
AI-NATIVE CASE STUDY / Live Platform
PRISM
Turns expense documents into reviewable records through OCR, field confidence, company controls, and an auditable approval path.
AI speeds up synthesis, iteration, and repeatable production while product direction remains accountable.
Direction, risk, review, and release decisions stay clear and owned.
AI-NATIVE CASE STUDY
Product delivery flow
- 01
Business context
Finance teams need expense documents to become company-scoped records without losing review ownership or audit history.
- 02
Opportunity
Manual entry is slow, while unchecked extraction creates accounting and tenant-isolation risk.
- 03
My contribution
I shaped and reviewed the OCR-to-expense path, field confidence, company profiles, review controls, and auditable handoff into expense creation.
- 04
Key decisions
- Show confidence at field level before confirmation.
- Keep auto-create behind company-level controls and a complete audit chain.
- 05
Delivered
A live OCR review queue, company profiles, field confidence, human confirmation, optional company-gated auto-create, and audit history.
Delivered value
- OCR intake, field confidence, company-scoped review, controlled expense creation, and audit history
What this demonstrates
The normal path keeps human confirmation before expense creation; auto-create is enabled only by approved company controls. The public link opens a capability simulation, not the ERP interface.
