- Project
- Privacy-Preserving Document AI
- Type of work
- Documents & workflow, Practical AI
- Services involved
- Operational Excellence, AI & Automation
Privacy-Preserving Document AI
The challenge
Documents can contain personal identifiers that should not be passed unprotected to external processing services.
What was built
Sensitive identifiers are detected and masked before document images reach a third-party AI service, then restored locally, with field-level encryption for protected values.
Why it matters
Thoughtful architecture and information controls can be critical to making document AI suitable for a real organisation. Any similar deployment still needs its own data protection and legal review.
Process illustration
Read as text
- Input: Document images
- Step: Detect and mask identifiers
- External service: Third-party AI service
- Step: Restore locally
- Result: Local result with field-level encryption
Related capabilities
Related capabilities
- Privacy-aware automation
- Document AI
- Operational Excellence
Related use case
Reduce document admin
Simplify collection, validation, approvals and repeated handling.
Related use case
Resolve customer questions without the runaround
Explore how responsible information handling could support customer answers. The documented project covers document processing; the customer-support scenario is illustrative.
Service
Operational Excellence
Make great service easier to deliver.
Service
AI & Automation
Put technology to work where it matters.
Could a similar approach help your business?
Let’s look at the task, the information and the outcome you want to improve.