GenAI Mail Scan
Description
The difficulties of interpreting handwritten and poorly formatted documents by staff leads to increased manual labor required to accurately read and enter data into all fields.
Detailed example
Data from consumer letters with key informationóincluding names, addresses, phone numbers, and email detailsóalong with relevant complaint content.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Automatic processing of handwritten mail received by the agency enhances accuracy, reduces manual labor, accelerates processing times, and improves data quality.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Yes; PIA: https://www.ftc.gov/system/files/ftc_gov/pdf/Sentinel-Network-Services-PIA.pdf