Human Validation of Document Processing
Automatically extract data from documents, apply validations to the extracted data based on business rules, and when confidence on the results is low, get humans to fill in the blanks.
Finance, Human Resources, Operations
Intelligent Document Processing, RPA & Integrations, Process Management
Any system
Case Description
Processing large volumes of documents manually can be time-consuming and prone to errors. ElectroNeek’s Intelligent Document Processing capabilities streamline this by automatically extracting key data from documents. Business rule validations can then be applied to ensure accuracy, with a confidence level being calculated. When this confidence level is low, human validation is seamlessly integrated into the workflow via web forms.
Empower businesses to handle document-heavy processes efficiently, reducing the need for constant human oversight while ensuring data accuracy. By only requiring human intervention when necessary, the overall process becomes faster and more reliable.
Use Case Highlights
Data is automatically extracted from incoming documents (e.g., invoices, forms, contracts) using the Intelligent Document Processing features of the ElectroNeek platform.
Extracted data is then validated against predefined business rules (e.g., matching invoice totals, verifying form fields, or checking for required signatures).
Confidence levels can be calculated from the results of those validations (e.g., if 8 out of 10 business rules are met, then confidence is at 80%.)
If the extracted data meets confidence thresholds, it is automatically approved and processed, reducing manual oversight. When the confidence score for certain data points falls below the threshold, the system flags these fields for human review.
The flagged data is sent to a human validator through an easy-to-use interface of web-based forms, where they can review the extraction, make corrections, or fill in any missing information.
Once the human validator confirms the data, the updated data is added to whichever system of record is used (e.g., spreadsheets, databases, ERP systems, etc.)
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