Overview

Business Need:

• Reducing manual paper document processes and the associated carbon footprint while improving citizen services
• Reduce error prone and costly manual data entry processing
• Critical data is often stored in documents and is often needed as key information for constituent databases to provide enhanced services
• Backlogs of paper documents reduce the effectiveness of services
• Existing document management systems often require modernization of their ingest and data extraction processes

Solution:

• Automated scan to Document AI process for a single custom form
• User upload capability via web form
• Data extracted into a Cloud SQL database for easy export into a legacy application
• Web form for data QC - HITL
• Default export into CSV but other integrations are available; SFDC etc.
• 8 week engagement

Reference Architecture

Screenshots

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