Casos de uso | ElectroNeek

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.

Medical Prescription Processing

Extract data from digital, scanned or photographs of medical prescriptions for use in multiple processes, such as patient tracking, insurance payments, and more.

Python Bot Orchestration

Take advantage of ElectroNeek’s Orchestration features to organize, coordinate, schedule and monitor the execution of pre-existing Python automations.

Test Data Generation for UAT

Streamline User Acceptance Testing (UAT) by automating the generation of extensive test data customized for each specific test scenario, ensuring comprehensive coverage and quality while saving time and resources.

Logistics Document Processing

Extract data from various types of logistics documents, such as invoices, bills of lading (BL) and packing lists, validate it while calculating a confidence level, and if necessary involve humans ensuring maximum accuracy and compliance.

Payroll Automation

Perform salary, commission and bonus payments with efficiency and accuracy, keeping humans in charge of the process via intuitive web forms.

Compliance Document Analysis

Analyze documents related to an organization’s regulatory compliance, such as permits and authorizations, to keep track of compliance requirements and expiration dates.

Bank Statement Reconciliation

Match bank transactions with accounting records, both from structured data such as CSV records and from images and documents, to ensure all records are accounted for.

Automatic Document Classification

Documents often arrive at an organization without clear divisions or categories, such as in multi-page PDF files – using ElectroNeek’s Intelligent Document Processing, these can be split and classified for later processing in specific models.

Self-Service IT Helpdesk

Set up friendly web-based Forms for any employee to automatically diagnose and solve common IT issues, only involving IT professionals when absolutely necessary.